###### Models, Econometric

###### Algorithms

###### Models, Theoretical

###### Software

###### Internet

###### User-Computer Interface

###### Forecasting

###### Canada

###### Christianity

The religion stemming from the life, teachings, and death of Jesus Christ: the religion that believes in God as the Father Almighty who works redemptively through the Holy Spirit for men's salvation and that affirms Jesus Christ as Lord and Savior who proclaimed to man the gospel of salvation. (From Webster, 3d ed)

###### Information Management

###### Protestantism

The name given to all Christian denominations, sects, or groups rising out of the Reformation. Protestant churches generally agree that the principle of authority should be the Scriptures rather than the institutional church or the pope. (from W.L. Reese, Dictionary of Philosophy and Religion, 1999)

###### Catholicism

The Christian faith, practice, or system of the Catholic Church, specifically the Roman Catholic, the Christian church that is characterized by a hierarchic structure of bishops and priests in which doctrinal and disciplinary authority are dependent upon apostolic succession, with the pope as head of the episcopal college. (From Webster, 3d ed; American Heritage Dictionary, 2d college ed)

###### Integrated Advanced Information Management Systems

A concept, developed in 1983 under the aegis of and supported by the National Library of Medicine under the name of Integrated Academic Information Management Systems, to provide professionals in academic health sciences centers and health sciences institutions with convenient access to an integrated and comprehensive network of knowledge. It addresses a wide cross-section of users from administrators and faculty to students and clinicians and has applications to planning, clinical and managerial decision-making, teaching, and research. It provides access to various types of clinical, management, educational, etc., databases, as well as to research and bibliographic databases. In August 1992 the name was changed from Integrated Academic Information Management Systems to Integrated Advanced Information Management Systems to reflect use beyond the academic milieu.

###### Stochastic Processes

###### Diffusion

###### Jet Lag Syndrome

###### Computer Simulation

###### Models, Biological

###### Models, Statistical

###### Likelihood Functions

###### Data Interpretation, Statistical

###### Bayes Theorem

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.

###### Feedback, Sensory

###### Tomography

###### Speech Recognition Software

###### Social Sciences

###### Mathematics

###### Informatics

## Risk-adjusted capitation based on the Diagnostic Cost Group Model: an empirical evaluation with health survey information. (1/526)

OBJECTIVE: To evaluate the predictive accuracy of the Diagnostic Cost Group (DCG) model using health survey information. DATA SOURCES/STUDY SETTING: Longitudinal data collected for a sample of members of a Dutch sickness fund. In the Netherlands the sickness funds provide compulsory health insurance coverage for the 60 percent of the population in the lowest income brackets. STUDY DESIGN: A demographic model and DCG capitation models are estimated by means of ordinary least squares, with an individual's annual healthcare expenditures in 1994 as the dependent variable. For subgroups based on health survey information, costs predicted by the models are compared with actual costs. Using stepwise regression procedures a subset of relevant survey variables that could improve the predictive accuracy of the three-year DCG model was identified. Capitation models were extended with these variables. DATA COLLECTION/EXTRACTION METHODS: For the empirical analysis, panel data of sickness fund members were used that contained demographic information, annual healthcare expenditures, and diagnostic information from hospitalizations for each member. In 1993, a mailed health survey was conducted among a random sample of 15,000 persons in the panel data set, with a 70 percent response rate. PRINCIPAL FINDINGS: The predictive accuracy of the demographic model improves when it is extended with diagnostic information from prior hospitalizations (DCGs). A subset of survey variables further improves the predictive accuracy of the DCG capitation models. The predictable profits and losses based on survey information for the DCG models are smaller than for the demographic model. Most persons with predictable losses based on health survey information were not hospitalized in the preceding year. CONCLUSIONS: The use of diagnostic information from prior hospitalizations is a promising option for improving the demographic capitation payment formula. This study suggests that diagnostic information from outpatient utilization is complementary to DCGs in predicting future costs. (+info)## Welfare gains from user charges for government health services. (2/526)

The World Bank's Financing health services in developing countries emphasizes demand-side issues--highlighting user fees, insurance, and the private sector as tools for strengthening the health sector. That approach is a major departure from the focus on the supply side--public sector spending, costs, management, and efficiency--that has dominated the international health finance agenda for many years. An important set of empirical papers by Paul Gertler and his co-authors coincided with the release of the policy paper. Gertler's work has questioned a policy of greater dependence on user fees by emphasizing the potential welfare costs to consumers of higher fees for medical services. Many health professionals have adopted the jargon of this new approach without understanding the underlying analysis. This article attempts to demystify the debate that has ensued by illustrating economists' idiosyncratic approach to welfare, explaining how the policy paper and Gertler differ, and suggesting alternative approaches to testing the feasibility of the policy paper's prescriptions. (+info)## The influence of day of life in predicting the inpatient costs for providing care to very low birth weight infants. (3/526)

The purpose of this study was to test, refine, and extend a statistical model that adjusts neonatal intensive care costs for a very low birth weight infant's day of life and birth weight category. Subjects were 62 infants with birth weights below 1,501 g who were born and cared for in a university hospital until discharged home alive. Subjects were stratified into 250-g birth weight categories. Clinical and actual daily room and ancillary-resource costs for each day of care of each infant were tabulated. Data were analyzed by using a nonlinear regression procedure specifying two separate for modeling. The modeling was performed with data sets that both included and excluded room costs. The former set of data were used for generating a model applicable for comparing interhospital performances and the latter for comparing interphysician performances. The results confirm the existence of a strong statistical relationship between an infant's day of life and both total hospital costs and the isolated costs for ancillary-resource alone (P < 0.0001). A refined series of statistical models have been generated that are applicable to the assessment of either interhospital or interphysician costs associated with providing inpatient care to very low birth weight infants. (+info)## Pharmacoeconomic analysis of selected antibiotics in lower respiratory tract infection. (4/526)

An interactive pharmacoeconomic model was designed to evaluate the effects of clinical response and adverse drug events on the comparative cost and cost-effectiveness of a relatively new antibiotic, clarithromycin, compared with those of six other antibiotics used to treat community-acquired lower respiratory tract infection. The cost and cost-effectiveness analyses were based don 12 randomized, double-blind, controlled clinical trials conducted between 1987 and 1992 in regionally distributed outpatient clinics in the United States. The trials enrolled a total of 2377 patients. Of the 2377, 1102 patients were treated for acute exacerbation of chronic bronchitis, 591 for pneumonia, and 201 for either of the two conditions. Safety data for one of the antibiotics was obtained from a trial of patients with sinusitis (N = 483). The antibiotics included in the analysis were amoxicillin/clavulanate, ampicillin, cefaclor, cefixime, cefuroxime, clarithromycin, and erythromycin. The main outcome measures were the costs of resources to achieve a clinical response, costs related to managing adverse drug events, and costs of antibiotic treatment from the perspective of managed care. The mean total cost per episode ranged from approximately $137 to $267. The drug acquisition cost typically contributed a small amount to the overall cost. For the cost-effectiveness analysis, in which complication-free cure was used as a proxy for patient satisfaction, the range of mean cost per complication-free cure varied from approximately $307 for clarithromycin to $612 for cefaclor. When ranked from most to least cost-effective, the order was as follows: clarithromycin, cefixime, amoxicillin/clavulanate, erythromycin, cefuroxime, ampicillin, and cefaclor. The costs associated with clinical management (including treatment failure) and managing adverse drug events significantly contribute to the total cost and cost-effectiveness of antibiotics in the outpatient setting. Cost-effectiveness analyses are valuable in analyzing the various costs associated with the treatment of lower respiratory tract infection (acute exacerbation of chronic bronchitis or pneumonia) and may be useful tools for physicians managing patients, members of pharmacy and therapeutics committees developing formularies, and medical staff implementing practice guidelines. (+info)## Prevention of nonsteroidal anti-inflammatory drug-induced gastropathy: clinical and economic implications of a single-tablet formulation of diclofenac/misoprostol. (5/526)

Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly used to manage arthritis. While controlling symptoms and improving quality of life, NSAID use is associated with gastroduodenal injury and a 2%-4% annual risk for symptomatic gastroduodenal ulceration, hemorrhage, and perforation. This requires clinicians to balance the efficacy of NSAIDs against the potential risk of serious gastrointestinal events. Identification and stratification of risk can help guide the optimal approach for arthritis management of individual patients or large populations such as managed care organizations. NSAID-induced gastroenteropathy carries considerable economic consequences; 46% of arthritis costs are related to managing serious adverse events. It is reasonable to assume that these costs may not be incurred if high-risk patients are recognized and optimally managed. Newer therapies with proven safety margins present an attractive option, especially for patients at higher risk. The single-tablet formulations of diclofenac and misoprostol (Arthrotec) offer an alternative in managing NSAID patients because of their inherent safety profile. Studies with diclofenac/misoprostol indicate its effectiveness in treating signs and symptoms of arthritis and in reducing the incidence of NSAID-induced gastroenteropathy. As such, this agent may provide improved medical and economic outcomes. This review discusses the clinical aspects of NSAID-induced gastroenteropathy, including available preventive therapies. Approaches to assessing patients' risk for developing complications, and the relationship of medical risk and economic outcomes, are also examined. Although not all patients require preventive therapy, patients with heightened risk may benefit clinically and economically from gastroprotective NSAIDs. Additional research or modeling may provide further insight into the economic implications of managing and preventing NSAID-induced gastroenteropathy. (+info)## The cost-effectiveness of treatment with lamivudine and zidovudine compared with zidovudine alone: a comparison of Markov model and trial data estimates. (6/526)

In this paper, we present a Markov model for estimating the cost-effectiveness of combination therapy with lamivudine (LMV) and zidovudine (ZDV) compared with ZDV alone. We also compare the predictions of the Markov model for the impact of combination therapy on trial period costs with the actual impact of combination therapy on selected trial period costs estimated from data collected during the clinical trials. In the Markov model, disease stages were defined by CD4 cell count. Based on clinical trial data for patients with CD4 counts higher than 100 cells/mm3, the model assumed that the CD4 cell count level could be maintained above the level at the initiation of therapy for 6.5 months with monotherapy and for 18 months with combination therapy. After this period, transition rates for natural disease progression were used. Incremental lifetime costs and quality-adjusted life years gained with LMV/ZDV compared with ZDV alone were estimated for cohorts of patients initiating antiretroviral therapy at four different CD4 cell count stages. Cost per life year gained varied from $10,000 to $18,000, and cost per quality-adjusted life year gained varied from $14,000 to $27,000. In both cases, the combination therapy was more cost-effective when started earlier in disease progression. These estimates were not sensitive to changes in key parameter values. In addition, the model was used to estimate the impact of combination therapy on healthcare costs during the trial period; these estimated costs were compared with data on the cost of resource use collected during the clinical trial for hospital stays, unscheduled visits, medications, and outpatient procedures. Both the Markov model estimates and the trial data estimates for the trial period showed cost savings in other medical costs, though these were not large enough to completely offset the increased cost for antiretroviral therapy. The model estimates were more conservative than the estimates based on the trial data. (+info)## Researching the public/private mix in health care in a Thai urban area: methodological approaches. (7/526)

The private health sector has been growing rapidly in many low and middle income countries, yet not enough is known about its sources of finance or characteristics of its users. Moreover, health care reform measures are leading to alterations in the mix of public and private finance and provision, increasing further the need for information. This paper presents and evaluates some research methods which can be used to collect information relevant to considering policies on the public/private mix. They comprise a household survey, a health diary and interview survey, a bed census, and a health resource survey. Each method is described as it was used in a study in a large urban setting in Thailand, and strengths and weaknesses of the methods are identified. The use of data to estimate the shares of public and private finance and provision, and particularly private sources of finance of public hospitals and public sources of finance for private hospitals, is demonstrated. Policy issues highlighted by the data are identified. (+info)## The effects of group size and group economic factors on collaboration: a study of the financial performance of rural hospitals in consortia. (8/526)

STUDY QUESTIONS: To determine factors that distinguish effective rural hospital consortia from ineffective ones in terms of their ability to improve members' financial performance. Two questions in particular were addressed: (1) Do large consortia have a greater collective impact on their members? (2) Does a consortium's economic environment determine the degree of collective impact on members? DATA SOURCES AND STUDY SETTING: Based on the hospital survey conducted during February 1992 by the Robert Wood Johnson Hospital-Based Rural Health Care project of rural hospital consortia. The survey data were augmented with data from Medicare Cost Reports (1985-1991), AHA Annual Surveys (1985-1991), and other secondary data. STUDY DESIGN: Dependent variables were total operating profit, cost per adjusted admission, and revenue per adjusted admission. Control variables included degree of group formalization, degree of inequality of resources among members (group asymmetry), affiliation with other consortium group(s), individual economic environment, common hospital characteristics (bed size, ownership type, system affiliation, case mix, etc.), year (1985-1991), and census region dummies. PRINCIPAL FINDINGS: All dependent variables have a curvilinear association with group size. The optimum group size is somewhere in the neighborhood of 45. This reveals the benefits of collective action (i.e., scale economies and/or synergy effects) and the issue of complexity as group size increases. Across analyses, no strong evidence exists of group economic environment impacts, and the environmental influences come mainly from the local economy rather than from the group economy. CONCLUSION: There may be some success stories of collaboration among hospitals in consortia, and consortium effects vary across different collaborations. RELEVANCE/IMPACT: When studying consortia, it makes sense to develop a typology of groups based on some performance indicators. The results of this study imply that government, rural communities, and consortium staff and steering committees should forge the consortium concept by expanding membership in order to gain greater financial benefits for individual hospitals. (+info)###### Econometric Analysis of Discrete Reforms : Econometric Analysis of Discrete Reforms

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Financial

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Predictability and

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**Econometric**analysis of quantile regression

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**econometric**approaches are used to achieve a deeper understanding of the economic processes and interactions in comparison ... This thesis consists of three essays that address open research issues in two

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###### Toward **econometric** **models** of the security risk from remote attacks - Semantic Scholar

Security risk

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Specification of the

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###### Econometrics21

- Econometric models are statistical models used in econometrics. (wikipedia.org)
- A large part of econometrics is the study of methods for selecting models, estimating them, and carrying out inference on them. (wikipedia.org)
- On the formulation of empirical models in dynamic econometrics ," Journal of Econometrics , Elsevier, vol. 20(1), pages 3-33, October. (repec.org)
- I thank Nonarit Bisonyabut, Roberto Duncan, Terry Iverson and Ping Yu for research assistance, and two anonymous referees, seminar audiences at Duke, the Triangle Econometrics Conference, the Far Eastern Meetings of the Econometric Society and the University of Wisconsin for helpful comments, and the National Science Foundation for financial support. (nber.org)
- Financial econometrics brings financial theory and econometric methods together with the power of data to advance understanding of the global financial universe upon which all modern economies depend. (oup.com)
- The book reaches out to a wide audience of students, applied researchers, and industry practitioners, guiding readers of diverse backgrounds on the models, methods, and empirical practice of modern financial econometrics. (oup.com)
- Financial Econometric Modeling delivers a self-contained first course in financial econometrics, providing foundational ideas from financial theory and relevant econometric technique. (oup.com)
- Econometric Theory provides an authoritative outlet for original contributions in all of the major areas of econometrics. (cambridge.org)
- It not only provides the reader with most recent econometric and statistic methods, it also provides a unified approach to econometrics, thereby making it easier for students to comprehend, apply, and practice. (cambridge.org)
- For that, in the absence of controlled physical experiments like those of Tyndall [ 10 ], which are not possible at the global or regional levels with or without computer models, econometrics is essential. (hindawi.com)
- Econometrics Beat: Dave Giles' Blog: What is an Econometric Model? (blogspot.com)
- I believe that 'econometrics' is really just statistical modelling or time series modelling in disguise. (blogspot.com)
- This book offers an up-to-date coverage of the basic principles and tools of Bayesian inference in econometrics, with an emphasis on dynamic models. (loveletterstotoledo.com)
- It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations, and the long available analytical Cited by: Bayesian Inference in Dynamic Econometric Models (Advanced Texts in Econometrics) - Kindle edition by Bauwens, Luc, Lubrano, Michel, Richard, Jean-François. (loveletterstotoledo.com)
- Use features like bookmarks, note taking and highlighting while reading Bayesian Inference in Dynamic Econometric Models (Advanced Texts in Econometrics)/5(2). (loveletterstotoledo.com)
- Econometrics Toolbox™ provides functions for modeling economic data. (mathworks.com)
- Essentials of Applied Econometrics prepares students for a world in which more data surround us every day and in which econometric. (tradebit.com)
- Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. (tanum.no)
- Early work in econometrics paid inadequate attention to this distinction and overlooked for many years the possibilities of improving statistical estimates of individual economic relationships by embedding them in models of the economy as a whole [ see ECONOMETRIC MODELS, AGGREGATE ]. (encyclopedia.com)
- The research at the Department of Statistics mainly concerns two fields, econometrics (both micro and time series econometrics) and Structural Equations Modelling (SEM). (uu.se)
- Within micro econometrics the focus is on causal inference while in time series econometrics, we study macro economic models, in particular analysis of long term relations, i.e. cointegration, and forecasting. (uu.se)

###### Inference27

- Causality: Models, Reasoning, and Inference. (wikipedia.org)
- This paper examines alternative applications of resampling methods to estimation and inference in econometric models. (springer.com)
- SAS/ETS 14.2 introduces one such tool, the SPATIALREG procedure, which enables you to include spatial information in the analysis and improve the econometric inference and statistical properties of estimators. (sas.com)
- Consequently, if you ignore the spatial dependence in the data by fitting a linear regression model to the data, you run the risk of false inference. (sas.com)
- He is the author of Statistical Foundations of Econometric Modelling (Cambridge, 1986) and, with D. G. Mayo, Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science (Cambridge, 2010). (cambridge.org)
- select the resistant econometric modeling and inference and browse our % time seconds to introduce with. (mistersystems.net)
- Econometric Foundations fully provides an operational understanding of a rich set of estimation and inference tools to master such data, including traditional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjunction with the computer to address economic problems. (cambridge.org)
- This is an excellent graduate-level text on the foundations of econometric estimation and inference. (cambridge.org)
- interactions in Econometric Modeling and Inference (Themes in for your buku. (letterboxpictures.com)
- The invalid and virion-containing devices both Econometric Modeling and Inference (Themes in Modern. (letterboxpictures.com)
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- At the Econometric Modeling and Inference (Themes in Rupp Arena began born it, was bigger than every NBA playground as there. (letterboxpictures.com)
- Some of the greatest Econometric Modeling and Inference (Themes in bits are in Philadelphia, PA. (letterboxpictures.com)
- To put from Philadelphia to Immaculata, PA, enable yourself on to Interstate Highway I-70 uninfected for perhaps 17 hormones, Just engage US Route 202 Econometric Modeling and Inference (Themes in toward West Chester for not 10 strategies. (letterboxpictures.com)
- 5 edition of Bayesian inference in dynamic econometric models found in the catalog. (loveletterstotoledo.com)
- This paper develops semiparametric Bayesian methods for inference of dynamic Tobit panel data models with unobserved individual heterogeneity, and applies them to study female la- bor supply using the National Longitudinal Survey of Youth (NLSY79). (loveletterstotoledo.com)
- Bayesian Inference in Dynamic Econometric Models: Luc Bauwens, Michel Lubrano, Jean-Francois Richard: Books - 4/5(2). (loveletterstotoledo.com)
- Bayesian Inference in Dynamic Econometric Models by Michele Lubrano, Luc Bauwens and Jean-François Richard (Trade Paper) at the best online prices at eBay! (loveletterstotoledo.com)
- with Bayesian inference in VAR models, but does not include routines for estimation. (loveletterstotoledo.com)
- It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations, and the long available analytical results of Bayesian inference for linear regression 3/5(1). (loveletterstotoledo.com)
- Estimate and forecast linear time series models using Bayesian inference. (mathworks.com)
- Distributed Simultaneous Inference in Generalized Linear Models via Confidence Distribution (an early version available on arXiv) . (umich.edu)
- Bayesian statistical inference cannot easily operate when the likelihood function associated with the data is not entirely known, or cannot be computed in a manageable time, as is the case in most population genetic models ( 1 ⇓ - 3 ). (pnas.org)
- 2 Econometrica, Vol. 78, No. 1 (January, 2010), INFERENCE FOR THE IDENTIFIED SET IN PARTIALLY IDENTIFIED ECONOMETRIC MODELS BY JOSEPH P. ROMANO AND AZEEM M. SHAIKH 1 This paper provides computationally intensive, yet feasible methods for inference in a very general class of partially identified econometric models. (docplayer.net)
- This paper provides computationally intensive yet feasible methods for inference for one large class of such models. (docplayer.net)
- Our results on confidence regions for the identified set build upon the earlier work of Chernozhukov, Hong, and Tamer (2007), who were the first to consider inference for the same class of partially identified models. (docplayer.net)

###### Regression27

- Some of the common econometric models are: Linear regression Generalized linear models Probit Logit Tobit ARIMA Vector Autoregression Cointegration Hazard Comprehensive models of macroeconomic relationships are used by central banks and governments to evaluate and guide economic policy. (wikipedia.org)
- This paper analyzes a procedure called Testing‐Based Forward Model Selection (TBFMS) in linear regression problems. (econometricsociety.org)
- This procedure inductively selects covariates that add predictive power into a working statistical model before estimating a final regression. (econometricsociety.org)
- The results of parameter estimation from a linear regression model, shown in Table 1, suggest that three predictors-income, crime, and bachelor-are all significant at the 0.01 level. (sas.com)
- Figure 2 provides the plot of predicted homeValue from the linear regression model. (sas.com)
- Although the comparison of Figure 1 and Figure 2 might suggest that predicted homeValue from the linear regression model captures the general pattern in the observed data, you need to be careful about some underlying assumptions for linear regression. (sas.com)
- The Least Squares method of estimation of parameters of linear (regression) models performs well provided that the residuals (disturbances or errors) are well behaved (preferably normally or near-normally distributed and not infested with large size outliers) and follow Gauss-Markov assumptions. (uni-muenchen.de)
- This thesis consists of three essays that address open research issues in two econometric frameworks: nonparametric quantile regression framework and social networks, supported by empirical applications. (uni-mannheim.de)
- Both econometric approaches are used to achieve a deeper understanding of the economic processes and interactions in comparison to the simple mean regression. (uni-mannheim.de)
- The comprehensive scope of the textbook has been expanded by the addition of a new chapter on the Linear Regression and related statistical models. (cambridge.org)
- Each of these models uses multivariate regression techniques to impute missing values at the country level. (ilo.org)
- The main technique used in this paper is econometric least squares regression analysis, which enables computation of the relative strength of proposed alternative and independent causal factors in determination of the dependent variable, temperature change. (hindawi.com)
- Provides high-performance procedures for loss modeling, count data regression, compound distribution, Copula simulation, panel regression, and censored and truncated regression models. (sas.com)
- In statistics , the Gauss-Markov theorem (or simply Gauss theorem for some authors) [1] states that the ordinary least squares (OLS) estimator has the lowest sampling variance within the class of linear unbiased estimators , if the errors in the linear regression model are uncorrelated , have equal variances and expectation value of zero. (wikipedia.org)
- For time series modeling and analysis, the toolbox includes univariate Bayesian linear regression, univariate ARIMAX/GARCH composite models with several GARCH variants, multivariate VARX models, and cointegration analysis. (mathworks.com)
- A more formal treatment of multiple regression modeling and correlation was introduced in 1903 by Galton ' s friend Karl Pearson (1857-1936). (encyclopedia.com)
- The meaning of the β coefficient varies with the functional form of the regression model. (encyclopedia.com)
- Sometimes researchers choose the model with the highest R 2 , but the purpose of the regression analysis is to obtain the best model based on a theoretical concept or an empirically observed phenomena. (encyclopedia.com)
- Note that R 2 s of two different models are comparable only if the dependent variables and the number of observations are the same, because R 2 measures the fraction of the total variation in the dependent variable explained by the regression equation. (encyclopedia.com)
- Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. (tradebit.com)
- Econometric Theory/What is Regression? (wikibooks.org)
- In general, when you create a Bayesian linear regression model object, it specifies the joint prior distribution and characteristics of the linear regression model only. (mathworks.com)
- Number of predictor variables in the Bayesian multiple linear regression model, specified as a nonnegative integer. (mathworks.com)
- Flag for including a regression model intercept, specified as a value in this table. (mathworks.com)
- Exclude an intercept from the regression model. (mathworks.com)
- Include an intercept in the regression model. (mathworks.com)
- The two-variable regression model, multiple regression. (princeton.edu)

###### Estimators3

- Large Sample Properties of Generalized Method of Moments Estimators ," Econometrica , Econometric Society, vol. 50(4), pages 1029-1054, July. (repec.org)
- The applications of CLTs are to the asymptotic distribution of various estimators for several econometric models. (wiley.com)
- Among the important additions are a more complete discussion of the Mundlak-Chamberlain approach to linear and nonlinear panel-data estimators, more thorough discussions of the control function approach to models with endogenous variables, estimators for many more nonlinear models, and a thorough rewrite of the chapter on estimating average treatment effects to reflect the latest research. (stata.com)

###### Theory9

- However, it is also possible to use econometric models that are not tied to any specific economic theory. (wikipedia.org)
- In: Carter R.A.L., Dutta J., Ullah A. (eds) Contributions to Econometric Theory and Application. (springer.com)
- Financial Econometric Modeling is an introductory text that meets the learning challenge of integrating theory, measurement, data, and software to understand the modern world of finance. (oup.com)
- Lastly, if the theory seems to make sense and the econometric model was not refuted on the basis of the hypothesis test, we can go on to use the theory for policy recommendation. (wikibooks.org)
- Such regressors include linear (more generally, piece-wise polynomial) trends, seasonally oscillating functions, and slowly varying functions including logarithmic trends, as well as some specifications of spatial matrices in the theory of spatial models. (wiley.com)
- To a degree not previously accomplished in a textbook, this masterful volume unifies econometric theory and modern approaches to its application. (cambridge.org)
- This category contains pages that are part of the Econometric Theory book. (wikibooks.org)
- with Franklin Allen) "Game Theory Models in Finance," in Game Theory and Business Applications , edited by Chatterjee and Samuelson. (princeton.edu)
- Tom 113 Econometric and Statistical Theory. (edu.pl)

###### Methods12

- RAND Europe employs more than a dozen distinguished economists who support research projects across all sectors and topic areas, using a range of economic and econometric methods. (rand.org)
- In our previous post, Econometric and statistical methods for spatial data analysis, we discussed the importance of spatial data. (sas.com)
- Now in its second edition, this bestselling textbook offers a comprehensive course in empirical research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models, providing the basis for an informed implementation of statistical procedure to secure the trustworthiness of evidence. (cambridge.org)
- The authors of Econometric Foundations are to be congratulated for their comprehensive and clear presentation of old and new econometric methods along with many interesting and relevant applications. (cambridge.org)
- Copula methods and compound distribution modeling let you model multivariate dimensions of risk factors. (sas.com)
- The issues of economic modelling and methods of solving dynamic models are beyond the scope of the current essay. (quantile.ru)
- It also provides methods for modeling economic systems using state-space models and for estimating using the Kalman filter. (mathworks.com)
- Use Engle-Granger and Johansen methods for cointegration testing and modeling. (mathworks.com)
- Analysis of variance (ANOVA) represents a set of models that can be fit to data, and also a set of methods for summarizing an existing fitted model. (springer.com)
- For instance, a whole new area of population genetic modeling ( 8 , 10 ) has been explored thanks to the availability of such methods. (pnas.org)
- Residual methods-such as trade gap analyses, comparisons of self-reported consumption and tax-paid sales, and econometric modeling-combine two or more sources of data on the illicit and licit markets to infer the scale of the illicit market. (nap.edu)
- 6 Econometric and Mathematical Methods. (wiley.com)

###### Aggregate3

- A forecast produced by an econometric model is a weighted aggregate of predetermined variables in the model. (repec.org)
- Against this background, the estimated econometric models assume that technological inventiveness (for which the proxy is patent activity) is a function of past patent activity, US aggregate R&D expenditures, the rate of growth in real GDP, the overall US unemployment rate and includes antitrust enforcement variables (civil, criminal and total antitrust filings). (edu.au)
- In response to this, an econometric model of the aggregate U.S. pallet market was developed. (usda.gov)

###### Methodology1

- Modelling Economic Series: Readings in Econometric Methodology. (wikipedia.org)

###### Empirical4

- OxMetrics developer Prof. Sir David Hendry and Dr. Jennifer Castle discuss "An improved approach to empirical modelling" in this article in the CEPR's VOX online platform. (timberlake.co.uk)
- A simple dynamic model that provided an adequate fit to the data is given as follows: Patent Successt = 20736 + 0.48 Patent Successt-1 + 0.24 US R&Dt + 643 Real GDP Growtht - 1991 US Unemployment Ratet + 308 Civil Antitrust Cases Filedt-1.The empirical results show that civil case filings have a statistically significant impact on technological inventiveness. (edu.au)
- We have proposed empirical models with both firm-specific factors and technological regime indicators. (scirp.org)
- However, the well-established statistical method of empirical likelihood provides another route to such settings that bypasses simulations from the model and the choices of the approximate Bayesian computation parameters (summary statistics, distance, tolerance), while being convergent in the number of observations. (pnas.org)

###### Forecasting12

- books.google.com - This well known text helps students understand the art of model building - what type of model to build, building the appropriate model, testing it statistically, and applying the model to practical problems in forecasting and analysis. (google.com)
- Timberlake started in 1982 and is a global total solutions provider of statistical, econometric and forecasting software packages, training courses and consultancy services. (timberlake.co.uk)
- With a view to forecasting the development of small oil and gas enterprises built production function of Cobb-Douglas and selected econometric model, has good predictive properties. (allbest.ru)
- Each chapter is a how-to guide that takes readers from ideas and theories through to the practical realities of modeling, interpreting, and forecasting financial data. (oup.com)
- Forecasting Inflation in Tunisia into instability: Using Dynamic Factors Model a two-step based on Kalman filtering. (uni-muenchen.de)
- Scenarios of economic development in Romania - medium to long-term forecasting models. (uni-muenchen.de)
- Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method. (uni-muenchen.de)
- The authors describe the key features of a new large-scale Canadian macroeconomic forecasting model developed over the past two years at the Bank of Canada. (bankofcanada.ca)
- Our econometric capabilities, time series analysis and time series forecasting techniques can help you understand those factors and improve your strategic and tactical planning. (sas.com)
- Enables linear state space modeling and forecasting of time series and longitudinal data, with enhanced capabilities for analyzing panel data. (sas.com)
- You can select and estimate economic models for simulation and forecasting. (mathworks.com)
- This working paper describes the new version of MODTRIM II, the FPB's quarterly macroeconomic model for short-term forecasting. (plan.be)

###### 20181

- The Men's Autumn-Winter 2018 econometric modeling and is the icssdmPeters and brands on its nice failure. (mistersystems.net)

###### Outcomes4

- The effects of the Danish saturated fat tax on food and nutrient intake and modelled health outcomes: an econometric and comparative risk assessmen. (nih.gov)
- The effects of the Danish saturated fat tax on food and nutrient intake and modelled health outcomes: an econometric and comparative risk assessment evaluation. (nih.gov)
- Modelling the effect of the changes in diet on health outcomes suggests that the saturated fat tax made a positive, but minor, contribution to public health in Denmark. (nih.gov)
- Model risk factors and predict economic outcomes. (sas.com)

###### Analysis20

- From a modeling perspective, findings from Figure 1 suggest that the data might contain a spatial dependence, which needs to be accounted for in the analysis. (sas.com)
- For instance, in 1965, David Cass and Tjalling Koopmans integrated Frank Ramsey's analysis of consumer optimization, thereby endogenizing the saving rate , to create what is now known as the Ramsey-Cass-Koopmans model . (wikipedia.org)
- The second edition of Econometric Analysis of Cross Section and Panel Data , by Jeffrey Wooldridge, is invaluable to students and practitioners alike, and it should be on the shelf of all students and practitioners who are interested in microeconometrics. (stata.com)
- Econometric analysis / William H. Greene. (who.int)
- Econometric analysis of health data/ edited by Andrew M. Jones and Owen O'Donnell. (who.int)
- Econometric analysis of the factors influencing forest acreage trends in the southeast. (usda.gov)
- We conducted a meta-analysis on 64 econometric models from 47 studies predicting forestland conversion to agriculture (F2A), forestland to development (F2D), forestland to non-forested (F2NF) and undeveloped (including forestland) to developed (U2D) land. (usda.gov)
- The book analyses three basic areas of time series analysis: univariate models, multivariate models, and non-linear models. (bokus.com)
- Model, forecast and simulate processes with econometric and time series analysis. (sas.com)
- Enables time series cross-sectional analysis and spatial econometric models for cross-sectional data where observations are spatially referenced or georeferenced. (sas.com)
- After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. (loveletterstotoledo.com)
- Correlated data analysis: modeling, analytics, and applications. (umich.edu)
- Analysis of variance (ANOVA) is a statistical procedure for summarizing a classical linear model - a decomposition of sum of squares into a component for each source of variation in the model - along with an associated test (the F -test) of the hypothesis that any given source of variation in the model is zero. (springer.com)
- When formulated as a statistical model, analysis of variance refers to an additive decomposition of data into a grand mean, main effects, possible interactions and an error term. (springer.com)
- We would expect the F -ratio to be less than 1 only in unusual models with negative within-group correlations (for example, if the data y have been renormalized in some way, and this had not been accounted for in the data analysis). (springer.com)
- Specifically, to incorporate data into the model for posterior distribution analysis and feature selection, pass the model object and data to the appropriate object function . (mathworks.com)
- Approximate Bayesian computation has become an essential tool for the analysis of complex stochastic models when the likelihood function is numerically unavailable. (pnas.org)
- Time-series analysis creates a mathematical model to fit a series of dynamic observations to forecast future behavior on the basis of retrospective behavior. (cdc.gov)
- Gradojevic N. , Erdemlioglu D., Gencay R. (2020), A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage, Economic Modelling , 85, pp. 57-73. (uoguelph.ca)
- After conducting a computer model analysis of the electric power industry and six case studies of other industrial sectors, EPA concluded that the equipment replacement provision would have little impact on future emissions. (nap.edu)

###### Approaches2

- Further, econometricians generally assume that the disturbance term, which is an influence of innumerably many factors not accounted for in the model, approaches normality according to the Central Limit Theorem. (uni-muenchen.de)
- This book investigates the determinants of food and agricultural trade flows of European countries using various econometric approaches. (cuvillier.de)

###### Implied Volatility1

- Joint Modeling of Call and Put Implied Volatility. (uni-muenchen.de)

###### Bayesian3

- Bayesian Generalized Linear Mixed Effects Models Using Normal-Independent Distributions: Formulation and Applications. (uni-muenchen.de)
- Censored and truncated models also allow for Bayesian estimation. (sas.com)
- De-spite the popularity of Bayesian VAR models, there is a considerable gap between specialized Bayesian and accessible, all-purpose implementations. (loveletterstotoledo.com)

###### Econometrica2

- The Sensitivity of Fiscal Policy Effects to Assumptions about the Behavior of the Federal Reserve ," Econometrica , Econometric Society, vol. 46(5), pages 1165-1179, September. (repec.org)
- For such commercial purposes contact the Office of the Econometric Society (contact information may be found at the website or in the back cover of Econometrica). (docplayer.net)

###### Multivariate2

###### Data24

- We use this data set to demonstrate the modeling capabilities of the SPATIALREG procedure and to understand the impact of household income, crime rate, and education attainment on home values. (sas.com)
- PROC SPATIALREG enables you to analyze the data by using a variety of spatial econometric models. (sas.com)
- Every chapter follows the same principle ensuring that all results reported in the book may be reproduced using standard econometric software packages such as Stata or EViews, with a full set of data and programs provided to ensure easy implementation. (oup.com)
- [2] [3] Solow's model fitted available data on US economic growth with some success. (wikipedia.org)
- Activities associated with the design and maintenance of econometric models that are used to produce estimates of labour market indicators in the countries and years for which no real data exist. (ilo.org)
- To address the problem of missing data, the ILO Trends Unit has designed and actively maintains three econometric models which are used to produce estimates of labour market indicators in the countries and years for which no real data exist. (ilo.org)
- The first step in each model is to assemble known pieces of real information (i.e. every real data point) for each indicator in question. (ilo.org)
- This is an important selection criterion when the models are run, because they are designed to use the relationship between the various labour market indicators and their macroeconomic correlates (such as per capita GDP, GDP growth rates, demographic trends and country and time dummy variables) in order to produce estimates of the labour market indicators where no data exist. (ilo.org)
- Thus, the comparability of the labour market data that are used as inputs in the imputation models is essential to ensure that the models accurately capture the relationship between the labour market indicators and the macroeconomic variables. (ilo.org)
- It provedes the necessary econometric tools and answers, while outlining the difficulties in data analyses. (cambridge.org)
- Econometric models of changes in land use acreages in the Southeast by physiographic region have been developed by pooling cross-section and time series data. (usda.gov)
- The results of our count data models show that entrepreneurial activity increases the innovation output and the sectorial-specific variables have an impact on patent application. (scirp.org)
- Identify and test time series models for financial and econometric data. (mathworks.com)
- If, for example, each treatment x airport condition were replicated three times, then the 120 data points could be modelled as y ijk = μ + α i + β j + γ ij + ε ijk , with two sets of main effects, a two-way interaction, and an error term. (springer.com)
- The authors estimate an econometric model of high-quality enlistment supply using geographically disaggregated data from two periods, FY83-87 and FY90-93. (rand.org)
- They find that econometric models based on data from the earlier period do not predict the recruiting difficulties reported by the military in the 1990s. (rand.org)
- The authors also find that econometric models estimated with the 1990s data give altered counsel about the effects of at least some policy variables, most notably the number of recruiters. (rand.org)
- must be the same as the number of columns in your predictor data, which you specify during model estimation or simulation. (mathworks.com)
- A data query system including a first storage medium including a data schema having a data schema query language associated therewith, a second storage medium including an ontology model including classes and properties, the ontology model having an ontology query language associated therewith, wherein. (google.com)
- 2. The ontology modeling system of claim 1 further comprising at least one data construct for assigning a minimum number of elements and a maximum number of elements to said multi-valued properties. (google.com)
- 7. The ontology modeling system of claim 1 , wherein the multi-valued properties are used for embedding data schema into an ontology model, for schema that include constructs that can include more than one data element. (google.com)
- The fundamental reason for this difficulty with population genetics is that the statistical model associated with coalescent data needs to integrate over trees of high complexity. (pnas.org)
- Since economic models consist of a set of simultaneous equations generating nonexperimental data, the equations of the model must be identified prior to statistical estimation. (encyclopedia.com)
- 1. INTRODUCTION A PARTIALLY IDENTIFIED MODEL is any model in which the parameter of interest is not uniquely defined by the distribution of the observed data. (docplayer.net)

###### Papers2

- Econometric Modeling as Information Aggregation ," Cowles Foundation Discussion Papers 833R, Cowles Foundation for Research in Economics, Yale University, revised Jan 1988. (repec.org)
- Econometric Model of the Czech Life Insurance Market ," Prague Economic Papers , University of Economics, Prague, vol. 2015(2), pages 173-191. (repec.org)

###### 20161

- Specialist in asset pricing, household finance, and volatility modelling, Laurent Calvet joined the EDHEC Business School faculty in 2016 as a professor of Finance. (wikipedia.org)

###### 19901

- in June 1990 the XLI model forecasted a .4% (annual rate) decline in the experimental coincident index from June through September. (nber.org)

###### Forecasts4

- published as "Comparing Information in Forecasts from Econometric Models. (repec.org)
- He is also the co-author with Daniel Rubinfield of "Econometric Models and Economic Forecasts," a best-selling textbook that may or may not be turned into a feature film. (google.com)
- He is the co-author (with Robert Pindyck) of "Econometric Models and Economic Forecasts," and expects to play the lead in the film version of the book. (google.com)
- Using one-day-ahead VaR forecasts for 5 highly liquid constituents of the S&P500 index from different industrial sectors, we compare performances of the benchmark GARCH model with skewed generalized Student's innovations with a set of models allowing for time-varying asymmetry and kurtosis such as ARCD-type models with normal inverse gaussian and skewed generalized Student's errors. (quantile.ru)

###### Stochastic processes1

- An Application of Some Curve-Crossing Results for Stationary Stochastic Processes to Stochastic Modelling of Metal Fatigue. (exlibris.ch)

###### Distributions4

- An econometric model then is a set of joint probability distributions to which the true joint probability distribution of the variables under study is supposed to belong. (wikipedia.org)
- Econometricians generally take for granted that the error terms in the econometric models are generated by distributions having a finite variance. (uni-muenchen.de)
- Perform Monte Carlo simulations to generate forecast distributions of both single and multiple time series models. (mathworks.com)
- The method is illustrated using several examples, including estimation of standard distributions, time series, and population genetics models. (pnas.org)

###### Causal3

- The most common econometric models are structural, in that they convey causal and counterfactual information, and are used for policy evaluation. (wikipedia.org)
- A recursive econometric model with causal flow originating from the demand relationship is used to analyze the effects of exogenous variables on quantity and price of hardwood lumber. (usda.gov)
- Structural factor equation models for causal network construction via directed acyclic mixed graphics. (umich.edu)

###### Foundations3

- Econometric Foundations establishes a new paradigm for teaching econometric problems to talented upper-level undergraduates, graduate students, and professionals. (cambridge.org)
- This text, CD-ROM, and electronic guide package make Econometric Foundations the most up-to-date and comprehensive learning resource available. (cambridge.org)
- the authors are not shy of including the software code directly into the body of the text where they wish to emphasize the ease of applicability of the procedures discussed.Econometric Foundations has a bold, novel perspective that is often rewarding. (cambridge.org)

###### Stata2

- WIth all the sophisticated econometric instrumental variable, etc. routines in Stata, I wonder if there is one already there that essentially does the same thing as Wulfsohn-Tsiatis, but is hiding behind some econometric name or terminology. (stata.com)
- One of the new features in Stata 15 is spatial autoregressive models. (timberlake.co.uk)

###### Matrix Algebra1

- Matrix Algebra is the first volume of the Econometric Exercises Series. (tradebit.com)

###### Economics9

- ROBERT S. PINDYCK is the Mitsubishi Bank Professor in Economics and Finance in the Sloan School of Management at M.I.T. He is also a Research Associate of the National Bureau of Economic Research, and a Fellow of the Econometric Society, and has been a Visiting Professor of Economics at Tel-Aviv University. (google.com)
- The Solow-Swan model is an economic model of long-run economic growth set within the framework of neoclassical economics . (wikipedia.org)
- With its selection of articles, the book presents an overview of advanced contributions to complexity in economics and social system, such as chaotic dynamics and multiple equilibria, agent-based models, applications of genetic algorithms, non-equilibrium macro-dynamics, information transmission, learning mechanisms. (bokus.com)
- A. M. N. Masih and R. Masih, "Energy Consumption, Real Income and Temporal Causality: Results from Multi-Country Study Based on Cointegration and Error-Correction Modeling Techniques," Energy Economics, Vol. 18, No. 3, 1996, pp. 165-183. (scirp.org)
- I come from a statistics background ( but I happen to be using/working on an econometric model ) so to me, an econometric model is not different from a statistical model except in the fact that the variables usually happen to be related to economics. (blogspot.com)
- In fact, in the model I'm working on, the variables are not related to economics. (blogspot.com)
- I'm using an econometric model in a non-economics application so I would argue that econometric models are really just statistical models. (blogspot.com)
- State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. (loveletterstotoledo.com)
- Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric. (tradebit.com)

###### Estimator2

- Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models. (uni-muenchen.de)
- This part of the dictionary comments on English econometric terms estimator, quantile , nested, marginal, and some others. (quantile.ru)

###### Exogenous2

- This book serves as a comprehensive source of asymptotic results for econometric models with deterministic exogenous regressors. (wiley.com)
- The model assumes productivity shocks and "trade shocks", modeled as exogenous shifts in a country's local spending bias. (aeaweb.org)

###### Oxford Unive1

- Econometric Evaluation of Linear Macro-Economic Models ," Review of Economic Studies , Oxford University Press, vol. 53(4), pages 671-690. (repec.org)

###### Mathematical3

- Here, we assume that the mathematical model is correct but we need to account for the fact that it may not be so. (wikibooks.org)
- A mathematical implication of the model (assuming poor countries have not yet reached their steady state). (wikipedia.org)
- To date, mathematical modeling has predicted that the effect of antimicrobial prescribing patterns in an outbreak situation is likely to be slight ( 9 ). (cdc.gov)

###### Spatial2

- Because of the spatial dependence in homeValue, a good candidate model to consider might be a spatial autoregressive (SAR) model for its ability to accommodate the endogenous interaction effect. (sas.com)
- Among the models discussed are static linear models with slowly varying regressors, spatial models, time series autoregressions, and two nonlinear models (binary logit model and nonlinear model whose linearization contains slowly varying regressors). (wiley.com)

###### Macroeconomic1

- To evaluate impacts of solar geoengineering and greenhouse gas-driven climate change on equal terms, we apply macroeconomic impact models that have been widely applied to climate change impacts assessment. (nature.com)

###### Simulation3

- Econometric Modelling of Antitrust Environment and Patent Activity, in Zerger, A. and Argent, R.M. (ed), MODSIM 2005 International Congress on Modelling and Simulation, Dec 12 2005, pp. 907-913. (edu.au)
- Melbourne, Australia: Modelling and Simulation Society of Australia and New Zealand. (edu.au)
- Provides a variety of means for modeling business processes within what-if and Monte Carlo simulation analyses. (sas.com)

###### Deterministic1

- An econometric model can be derived from a deterministic economic model by allowing for uncertainty, or from an economic model which itself is stochastic. (wikipedia.org)

###### Comparative risk assessment1

- The resultant changes in dietary quality are then used as inputs into a comparative risk assessment model (PRIME (Preventable Risk Integrated ModEl)) to estimate the effect of these changes on non-communicable diseases (NCDs) and mortality. (nih.gov)

###### EViews1

- All the models are estimated using the EViews 4.0 econometric software package. (edu.au)

###### Search1

- WHO HQ Library catalog › Results of search for 'su:{Models, Econometric. (who.int)

###### Economies1

- A standard Solow model predicts that in the long run, economies converge to their steady state equilibrium and that permanent growth is achievable only through technological progress. (wikipedia.org)

###### Specification1

- The objective of this working paper is not to provide a complete description of the model, but to focus on the specification and estimation results of the behavioural equations. (plan.be)

###### Linear5

- Namely, technical-actuarial links among insurance variables observed in annually published summary balance sheets of life insurers are described by means of an econometric system of linear simultaneous equations. (repec.org)
- This paper is an attempt to survey the literature on LAD estimation of single as well as multi-equation linear econometric models. (uni-muenchen.de)
- 1.9 The Linear Model. (wiley.com)
- 1. Complex dynamics in non-linear aggregated models. (bokus.com)
- Fisher 1925 ) and then discuss how ANOVA has been extended to generalized linear models and multilevel models. (springer.com)

###### Approach2

- Capital and Risk Revisited: A Structural Equation Model Approach for Life Insurers ," Journal of Risk & Insurance , The American Risk and Insurance Association, vol. 74(3), pages 653-681. (repec.org)
- This course enables you to gain an understanding of the principles of econometric modelling and how this approach is used to calculate ROI of marketing activities. (mrs.org.uk)

###### Nonparametric1

- otherwise it is a nonparametric or semiparametric model. (wikipedia.org)

###### Statistical models3

- Statistical models can characterize relationships among aspects of economic behavior, and comprehensive econometric models are often used to guide public policy decisions. (rand.org)
- About 50% of economists subscribe to the opinion that economic models are but a statistical models. (blogspot.com)
- Some venture to go as far as stating that it is a parsimonious way of encoding a set of statistical models, one for each instantiation of the parameters. (blogspot.com)

###### Predetermined variables3

- In many models the number of predetermined variables used is very large, often exceeding the number of observations. (repec.org)
- A method is proposed in this paper for testing an econometric model as an aggregator of the information in these predetermined variables relative to a specified subset of them. (repec.org)
- The test, called the 'information aggregation' (IA) test, tests whether the model makes effective use of the information in the predetermined variables or whether a smaller information set carries as much information. (repec.org)

###### Hierarchical1

- ref. 9 validates a conditional version of ABC that applies to hierarchical Bayes models in a wide generality. (pnas.org)

###### Time8

- applications of time-series models). (google.com)
- On an integer-valued stochastic intensity model for time series of counts. (uni-muenchen.de)
- We present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. (degruyter.com)
- This book clearly distinguishes itself from its competitors by emphasising the techniques of time series modelling rather than technical aspects such as estimation, and by the breadth of the models considered. (bokus.com)
- The Modelling of Univariate Economic Time Series: 5. (bokus.com)
- Nonlinear Time Series Models: 15. (bokus.com)
- Build on time varying volatility models. (mathworks.com)
- Furthermore, bypassing model simulations may lead to significant time savings in complex models, for instance those found in population genetics. (pnas.org)