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)

One famous econometric model of this nature is the Federal Reserve Bank econometric model. Benefit financing model Sims, ... Econometric models are statistical models used in econometrics. An econometric model specifies the statistical relationship ... An econometric model can be derived from a deterministic economic model by allowing for uncertainty, or from an economic model ... Some of the common econometric models are: Linear regression Generalized linear models Probit Logit Tobit ARIMA Vector ...
... the required computing power to estimate econometric models was expensive and scarcely available, so that econometrics was ... p. 35 Philip Hans Franses (2005) Annual Report 2004: Econometric Institute p. 7 Christiaan Heij et al. (2004) Econometric ... The Econometric Institute was the first research institute in the field of econometrics in the world, and started with a ... Econometric Institute (Dutch Econometrisch Instituut) at the Erasmus University Rotterdam is a leading research institute in ...
Žikeš, Filip; Baruník, Jozef; Shenai, Nikhil (2014). "Modeling and Forecasting Persistent Financial Durations". Econometric ... He pioneered with Adlai Fisher the Markov switching multifractal model of financial volatility, which is used by academics and ... This result confirms a key assumption of the Capital asset pricing model. Subsequent work confirms that household follow other ... Chen, Fei; Diebold, Francis X.; Schorfheide, Frank (2013). "A Markov-Switching Multi-Fractal Inter-Trade Duration Model, with ...
Bayesian Inference in Dynamic Econometric Models. New York: Oxford University Press. pp. 265-288. ISBN 0-19-877313-7. Lütkepohl ... model. BVAR differs with standard VAR models in that the model parameters are treated as random variables, with prior ... This type model can be estimated with Eviews, Stata, Python or R Statistical Packages. Recent research has shown that Bayesian ... The general idea is to use informative priors to shrink the unrestricted model towards a parsimonious naïve benchmark, thereby ...
... or neither in the model. For a general VAR(p) model: X t = μ + Φ D t + Π p X t − p + ⋯ + Π 1 X t − 1 + e t , t = 1 , … , T {\ ... Davidson, James (2000). Econometric Theory. Wiley. ISBN 0-631-21584-0. Hänninen, R. (2012). "The Law of One Price in United ... 1993). Co-Integration, Error Correction, and the Econometric Analysis of Non-Stationary Data. New York: Oxford University Press ... 9 of Johansen, Søren (1995). Likelihood-based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press. ...
The model framework comes from Wooldridge, J. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, Mass: ... A dynamic unobserved effects model is a statistical model used in econometrics for panel analysis. It is characterized by the ... Inference in Hidden Markov Models. New York: Springer-Verlag. ISBN 9780387289823. Wooldridge, J. (2002). Econometric Analysis ... In a panel data tobit model, if the outcome Y i , t {\displaystyle Y_{i,t}} partially depends on the previous outcome history Y ...
... or a computed residual or filtered data from a large class of models and estimators, including mis-specified models and models ... Econometric Th., v. 26, 1398-1436. Resnick, S. and Starica, C. (1997). Asymptotic behavior of Hill's estimator for ... Stochastic Models 13, 703-721. Ling, S. and Peng, L. (2004). Hill's estimator for the tail index of an ARMA model. J. Statist. ... Embrechts P.; Klueppelberg C.; Mikosch T. (1997). Modelling extremal events for insurance and finance. Stochastic Modelling and ...
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Rossi, Barbara (2005). "Optimal Tests for Nested Model Selection with Underlying Parameter Instability". Econometric Theory. 21 ... including techniques to compare competing models' forecasts and to evaluate the predictive ability of a given model, Granger- ... She is a founding fellow of the International Association of Applied Econometrics, a fellow of the Econometric Society and a ... She was the Program Chair for the 2016 Econometric Society European Summer Meetings and the 2014 International Association of ...
Econometric modeling). ... The reduced form of this model is given by Y = g ( X , ε ) {\ ... is also an approach to credit spread-modelling; see under Jarrow-Turnbull model. Dougherty, Christopher (2011). "Simultaneous ... Let Y be the vector of the variables to be explained (endogeneous variables) by a statistical model and X be the vector of ... For that, we would need an exogenous variable which is included in the supply equation of the structural model, but not in the ...
... analysis of implied model features and decision analysis; incorporation of model incompleteness in econometric analysis. ... Bayesian econometrics also became attractive to Christopher Sims' attempt to move from structural modeling to VAR modeling due ... Leamer, Edward E. (1974). "False Models and Post-Data Model Construction". Journal of the American Statistical Association. 69 ... the application of Markov chain Monte Carlo simulation to statistical and econometric models, first performed in the early ...
48 (1): 1-8. doi:10.1007/s00181-014-0889-4. Kumbhakar, Subal; Schmidt, Peter (2016). "Endogeneity in Econometric Models". ... His models on efficiency and productivity are used by researchers worldwide. Subal received his Ph.D. in economics from the ... He has formulated a variety of panel data models to measure efficiency, which are applied by researchers and practitioners all ... His main area of research is on econometric estimation of efficiency and productivity using Stochastic Frontier Approach. ...
In this book, Pearl espouses the Structural Causal Model (SCM) that uses structural equation modeling. This model is a ... Econometric Theory. 19 (4). doi:10.1017/S0266466603004109. ISSN 0266-4666. Wikidata Q108441284. Book Homepage (Use mdy dates ... Causality: Models, Reasoning, and Inference (2000; updated 2009) is a book by Judea Pearl. It is an exposition and analysis of ... Causality Causal inference Structural equation modeling Scholia has a work profile for Causality (book). Scholia has a topic ...
Nowman, K. Ben (2009). "Rex Bergstrom's Contributions to Continuous Time Macroeconometric Modeling". Econometric Theory. 25 (4 ... In May 1992, in occasion of his 65th birthday, a Festschrift was dedicated to Bergstrom under the title Models, Methods, and ... Fellows of the Econometric Society, People educated at Christchurch Boys' High School, University of Canterbury alumni, Alumni ...
1991). "Asymptotically Efficient Estimation of Cointegration Regressions". Econometric Theory. 7 (1): 1-21. doi:10.1017/ ... Luukkonen, Ritva; ---; Teräsvirta, Timo (1988). "Testing Linearity Against Smooth Transition Autoregressive Models". Biometrika ...
"The asymptotic behaviour of the residual sum of squares in models with multiple break points". Econometric Reviews. 36 (6-9): ... Time series analysis and dynamic specification in econometric models, with an application to the Australian wool market. In ... Economic Modelling, 2018, vol. 74, 194-206. The asymptotic behaviour of the residual sum of squares in models with multiple ... Modelling large open economies with international linkages: The US and Euro Area (with Mardi Dungey), Journal of Applied ...
"Efficient Estimation of Linear and Type I Censored Regression Models Under Conditional Quantile Restrictions". Econometric ... 1989). "Adaptive estimation of regression models via moment restrictions". Journal of Econometrics. 38 (3): 301-339. doi: ... 2004). "Efficient Estimation Of Semiparametric Models Via Moment Restrictions". Econometrica. 72 (6): 1877-1897. doi:10.1111/j. ... 1994). "Series Estimation of Regression Functionals". Econometric Theory. 10 (1): 1-28. doi:10.1017/S0266466600008203. JSTOR ...
"Curved Exponential Models in Econometrics". Econometric Theory. 13 (6): 771-790. doi:10.1017/S0266466600006253. S2CID 122742807 ... Exponential families form the basis for the distribution functions used in generalized linear models (GLM), a class of model ... Fahrmeir, Ludwig; Tutz, G. (1994). Multivariate Statistical Modelling based on Generalized Linear Models. Springer. pp. 18-22, ... Exponential dispersion model Gibbs measure Modified half-normal distribution Natural exponential family For example, the family ...
Orme, Chris (1989). "On the Uniqueness of the Maximum Likelihood Estimator in Truncated Regression Models". Econometric Reviews ... Truncated regression model Dynamic unobserved effects model § Censored dependent variable Probit model, the name tobit is a pun ... The tobit model is a special case of a censored regression model, because the latent variable y i ∗ {\displaystyle y_{i}^{*}} ... In statistics, a tobit model is any of a class of regression models in which the observed range of the dependent variable is ...
A Jackknife Model Averaging Approach". Econometric Reviews. Glass, A; Kenjegalieva, K; Sickles, R (2016). "Spatial ... Akin, J; Guilkey, D; Sickles, R (1979). "A Random Coefficient Probit Model With an Application to a Study of Migration". ... He has worked extensively in modeling productivity and efficiency and health outcomes and risk factors that impact health. His ... He has co-authored and edited eleven books, volumes, journal special issues related to applied econometric topics, over 100 ...
Econometric Reviews. 21 (1): 1-47. doi:10.1081/ETC-120008723. hdl:1765/1656. Tong, H. (2011). "Threshold models in time series ... to say that STAR models nest the SETAR model lacks justification. Unfortunately, whether one should use a SETAR model or a STAR ... The models can be thought of in terms of extension of autoregressive models discussed above, allowing for changes in the model ... The model is usually referred to as the STAR(p) models proceeded by the letter describing the transition function (see below) ...
Hausman, Jerry A. (2001). "Mismeasured variables in econometric analysis: problems from the right and problems from the left". ... In statistics, errors-in-variables models or measurement error models are regression models that account for measurement errors ... in which case the model is called a functional model), or as a random variable (correspondingly a structural model). The ... The multivariable model looks exactly like the simple linear model, only this time β, ηt, xt and x*t are k×1 vectors. { y t = α ...
Mittnik, S.; Rachev, S.T. (1993). "Modeling asset returns with alternative stable distributions". Econometric Reviews. 12 (3): ... "Stable Paretian Models in Finance: Author Information". www.wiley.com. Wiley. Retrieved 15 August 2015. A definition of the ... Stoyanov, S.V.; Rachev, S.T.; Racheva-Iotova, B.; Fabozzi, F.J. (2011). "Fat-tailed models for risk estimation". Journal of ... Rachev, S.T.; Kim, Y.; Bianchi, M.L.; Fabozzi, F.J. (2011). Financial Models with Levy Processes and Volatility Clustering. New ...
Last, the same basic framework can be used to develop new models/theories, validate these models using all available ... Bera, Anil K.; Park, Sung Y. (2008). "Optimal portfolio diversification using the maximum entropy principle". Econometric ... That model involves inequalities and can be further generalized to include short sales. More such examples and related code can ... Maximum Entropy Models in Science and Engineering. Wiley, 1993. J. Harte. Maximum Entropy and Ecology: A Theory of Abundance, ...
"Checks of Model Adequacy for Univariate Time Series Models and Their Applications to Econometric Relationships: Comment". ... Bera, Anil K.; Higgins, M.L. (1989). "A Joint Test for ARCH and Bilinearity in the Regression Model" (PDF). Econometric Reviews ... Bera, Anil K.; McAleer, M. (1983). "Model Specification Tests Against Non-Nested Alternatives: Comment" (PDF). Econometric ... Phd Aspects of Econometric Modeling). He was also a CORE Fellow at the Université Catholique de Louvain, Belgium. Bera is named ...
... not in the statistical implications of econometric models, as historians typically presume, but in their causal counterparts." ... calculus and to a mathematical theory of counterfactuals in econometric models. Pearl further speculates that the reason ... Fellows of the Econometric Society, Presidents of the Econometric Society, 20th-century Norwegian economists, Nortraship people ... policies can be simulated by modifying equations in the model became the basis of all currently used formalisms of econometric ...
1992). "Formulation and Estimation of Econometric Models for Panel Data". The Econometrics of Panel Data. (with Marc Nerlove). ... Fellow the Econometric Society Fellow of the Journal of Econometrics President of the Swiss society for economics and ... with Mauro Baranzini). "Some Optimal Aspects in a Two Class Growth Model with a Differentiated Interest Rate". Kyklos. 2. 1971 ... Balestra his noted for his contributions to the econometrics of dynamic error components models, in particular for the ...
The Econometric Society. 71 (6): 1767-1793. doi:10.1111/1468-0262.00469. ISSN 0012-9682. JSTOR 1555538. Krueger, Dirk; Kubler, ... Kubler, Felix; Schmedders, Karl (2003). "Stationary Equilibria in Asset-Pricing Models with Incomplete Markets and Collateral ... He also is a Fellow of the Econometric Society. Felix Kübler's research focuses on computational economics and general ... Competitive equilibria always exist in models with a single perishable consumption good and productive assets as the only ...
His thesis was Solving and Evaluating Large Non-Linear Econometric Models. He holds a doctorate of commerce honoris causa from ... ISBN 978-0-472-10328-7. Hall, Stephen George Frederick (1986). Solving and evaluating large non-linear econometric models. PhD ... ISBN 978-3-428-11398-9. Hall, Stephen G.; Cuthbertson, Keith; Taylor, Mark P. (1992). Applied Econometric Techniques. New York ... ISBN 978-0-230-27182-1. Hall, Stephen G. (2004). Macroeconometric Models and European Monetary Union. Berlin: Duncker & Humblot ...
"Estimation and Confidence Regions for Parameter Sets in Econometric Models". Econometrica. The Econometric Society. 75 (5): ... Statistical models that are set identified arise in a variety of settings in economics, including game theory and the Rubin ... Let P = { P θ : θ ∈ Θ } {\displaystyle {\mathcal {P}}=\{P_{\theta }:\theta \in \Theta \}} be a statistical model where the ... A literature in statistics and econometrics studies methods for statistical inference in the context of set-identified models, ...
One famous econometric model of this nature is the Federal Reserve Bank econometric model. Benefit financing model Sims, ... Econometric models are statistical models used in econometrics. An econometric model specifies the statistical relationship ... An econometric model can be derived from a deterministic economic model by allowing for uncertainty, or from an economic model ... Some of the common econometric models are: Linear regression Generalized linear models Probit Logit Tobit ARIMA Vector ...
... in EU countries to improve the modelling of policy impacts within the European Commissions QUEST III macroeconomic model. ... Econometric modelling support links research and innovation to jobs and growth. Econometric modelling support links research ... and econometric modelling to support the research project and help to calibrate QUEST III. During the project, we also worked ... In light of this, the Commission wished to enrich the QUEST III model to better understand the link between research and ...
Contact experts in ECONOMETRIC MODELING to get answers ... There is no econometric model to help you, if you do not know ... Review and cite ECONOMETRIC MODELING protocol, troubleshooting and other methodology information , ... Explore the latest questions and answers in Econometric Modeling, and find Econometric Modeling experts. ... The models that are used to check the robustness of the main econometric model may not always provide 100% parallel outcomes. ...
Here, by way of a matching model, both are endogenous. In the model, trades in pairwise meetings alternate in time with the ... Journal Of The Econometric Society. An International Society for the Advancement of Economic. Theory in its Relation to ... Econometric Societys Journals Welcome First Data Editor. At their 2022 August EC meeting, the Executive Committee of the ... Econometric Society decided to bring a Data Editor onto the editorial boards of Econometrica, Quantitative Economics and ...
... www.worldcat.org/title/econometric-models-and-economic-forecasts/oclc/647688809 ...
Journal Of The Econometric Society. An International Society for the Advancement of Economic. Theory in its Relation to ... Supplement to "Testing Models of Low-Frequency Variability". This zip file contains a replication file that contains data and ... Supplement to "Testing Models of Low-Frequency Variability". This zip file contains a replication file that contains data and ... We develop a framework to assess how successfully standard time series models explain low‐frequency variability of a data ...
Abstract This article develops improved calculation techniques for estimating the spatial econometric interaction ... Revisiting estimation methods for spatial econometric interaction models. Lukas Dargel (. ) Additional contact information ... All of these developments indicate that the spatial econometric extension of the traditional gravity model has become an ... this article presents a new way to define a feasible parameter space for the spatial econometric interaction model, which ...
An econometric model to scale operational losses Heru Sataputera Na, Jan van den Berg, Lourenco Couto Miranda, Marc Leipoldt ... One of the major topics related to the modeling of operational risk is the nonavailability of a sufficient amount of data ... problem by presenting a scaling mechanism that enables us to put data originating from several sources together in one modeling ...
Do Econometric Models Provide More Accurate Forecasts When They are More Conservative? A Test of Political Economy Models for ... Do Econometric Models Provide More Accurate Forecasts When They are More Conservative? A Test of Political Economy Models for ... The guidelines direct modelers to account for uncertainty of econometric model forecasts by: (1) modifying estimates of the ... Out-of-sample forecast accuracy was compared with the accuracy of forecasts from the originally published econometric models ...
N this paper we describe an econometric model of the American tobacco industry for the period 1949 through 1966. The model ... We conclude with some example simulation results which provide additional evidence of the validity of the model for explaining ... Ultimately, we hope to use the model to perform policy simulation experiments to evaluate the effects of alternative ... Next we discuss the theoretical specification of the model and the statistically estimated equations. ...
Econometric models ✖ Remove constraint Subject: Econometric models Start Over ... EconomicsEconometric modelsFinancial crisesEconomic policy 6. Essays on International Trade, Welfare and Inequality He, Zheli ... EconomicsInflation (Finance)Econometric modelsMonetary policy 2. Achieving Shared Prosperity for Korea Stiglitz, Joseph E. 2018 ... EconomicsEconomic policyCapitalismEconometric models 3. Essays on Simulation-Based Estimation Forneron, Jean-Jacques Mitchell ...
models. general-to-specific specification search. optional stopping. severe tests. costs of search. costs of inference. extreme ... The issue is formulated in the context of recent philosophical accounts on the nature of models and related to some results in ... in selection of a statistically admissible model in which to evaluate economic hypotheses. ...
Description: Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of ... Bayesian econometric modelling of observational data for cost-effectiveness analysis : establishing the value of Negative ... 1 more author) (2020) Bayesian econometric modelling of observational data for cost-effectiveness analysis : establishing the ... Methods Time to wound healing, was estimated using Bayesian inference methods: i) OLS models, ii) OLS model adjusting for ...
Econometric Modeling: Macroeconomics eJournal. Subscribe to this fee journal for more curated articles on this topic ... Competition Law and Income Inequality: A Panel Data Econometric Approach. 39 Pages Posted: 15 Nov 2020 Last revised: 24 May ... We apply this framework to model changes in multiple competition law indices ‎and inequality metrics for a large sample of ... A Panel Data Econometric Approach (May 21, 2021). Available at SSRN: https://ssrn.com/abstract=3402436 or http://dx.doi.org/ ...
Chapter 9: Unbalanced Panel Data Models Datasets. Endorsements for Econometric Analysis of Panel Data* ...
natural disasters; macroeconomic effects; econometric model; empirical analysis. Research Programs:. Risk, Policy and ... Natural disasters and macroeconomic performance: an empirical analysis based on an econometric modeling approach ... an empirical analysis based on an econometric modeling approach. International Journal for Integrated Disaster Risk Management ... comparison of the actual post-disaster economic performance with a counterfactual projected one using an econometric modelling ...
The model is intended to satisfy three main criteria. First, the model should be capable of capturing the dynamic nature of the ... Second, the model ought to be capable of generating short-run forecasts. In particular, quarterly forecasts for one or two ... Third, the model is to be developed and maintained by economists knowledgeable of the local economy and estimated specifically ... The purpose of the research described in this report is to produce an econometric model of the Upstate New York economy and two ...
357 The Multiplier-Accelerator Model In The Light Of Cointegration. by Chow, G.C. * 356 Capital Formation And Economic Growth ... 354 The Limiting Distribution Of The Least Squares Estimator In Nearly Integrated Seasonal Models. by Perron, P. * 353 An ... 362 Local Asymtotic Distributions Related to the AR(1) MOdel with Dependent Errors. by Nabeya, S. & Perron, P. * 361 Dynamic ... 352 Efficient Estimation Of Semiparametric Models Via Moment Restrictions. by Newey, W.K. * 351 Locally Efficient, Residual- ...
Econometric modeling : a likelihood approach / by: Hendry, David F. Published: (2007) * Econometric Modeling : a Likelihood ... Dynamic econometric modeling / Show other versions (1) This book brings together presentations of some of the fundamental new ... nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of ... research that has begun to appear in the areas of dynamic structural modeling, ...
An econometric factor model to explain factor exposures and risk. Please refer to Understanding Econometric Factor Model for ... Econometric Factor Model. October 20, 2014 by Gouthaman Balaraman Share on: Diaspora* / Twitter / Facebook / Google+ / Email / ...
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Econometric Modeling: Macroeconomics eJournal. Subscribe to this fee journal for more curated articles on this topic ...
Multivariate limited dependent models.. *Multivariate Bayesian econometric models.. *Regression with heteroscedastic and ... Cross-sectional econometric methods. *Truncated regression (with Bayesian estimation options).. *Censored regression (with ... HPQLIM for high-performance qualitative and limited independent variable models.. *HPCDM for high-performance compound ... incorporates high-performance computing techniques and offers new features that enhance the functionality of PROC MODEL. ...
The econometric model is as follows:. ln. V. R. C. A. j. t. =. α. 0. +. α. 1. ln. E. R. j. t. +. α. 2. (. ln. E. R. j. t. ). 2 ... resulting in the following econometric model:. ln. V. R. C. A. j. t. =. β. 0. +. β. 1. ln. E. R. j. t. +. β. 2. ln. E. R. j. t ... Econometric Model. Existing studies suggest that environmental regulation may exhibit a non-linear effect on export ... Second, under a trade-development model centered around low-quality and low-price products, the "Made in China" model results ...
... econometric modelling floating around, but what actually is it, how can it benefit your business? ... Marketing Mix Models; A Subset Of Econometric Modelling. Marketing mix modelling is one way to use econometric methods - this ... Implementing Econometric Models. The first step to making econometric models work, like marketing mix modelling, of course, is ... What is Econometric Modelling? And What Are The Benefits?. Econometric modelling uses statistical analysis to discover how ...
2. ECONOMETRIC THEORY. * volatility modelling *generalized dynamic factor models. Paolo acts as quantitative consultant in ... "Testing Beta-Pricing Models Using Large Cross-Sections " joint with C Robotti and V Raponi. OnlineAppendix and paper ... "Dynamic factor models with infinite dimensional factor space: asymptotic analysis", joint with M. Forni, M. Hallin, M. Lippi, ... "Dynamic factor models with infinite-dimensional factor space: representation", joint with M. Forni, M. Hallin, M. Lippi, ...
Econometric Modelling with Time Series Specification, Estimation and Testing. textbook Martin, Vance Hurn, Stan Harris, David ...
  • In addition to the improved estimation methods, this article presents a new way to define a feasible parameter space for the spatial econometric interaction model, which allows to verify the models consistency with a minimal computational burden. (repec.org)
  • A large part of econometrics is the study of methods for selecting models, estimating them, and carrying out inference on them. (wikipedia.org)
  • Causality: Models, Reasoning, and Inference. (wikipedia.org)
  • Methods Time to wound healing, was estimated using Bayesian inference methods: i) OLS models, ii) OLS model adjusting for potential observed confounders and iii) two-stage instrumental variable (IV) models. (whiterose.ac.uk)
  • This book brings together presentations of some of the fundamental new research that has begun to appear in the areas of dynamic structural modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. (mtsu.edu)
  • Econometric models are statistical models used in econometrics. (wikipedia.org)
  • Paolo's main research interests are empirical asset pricing, portfolio choice, financial econometrics and econometric theory. (imperial.ac.uk)
  • His publications include The Annals of Statistics, The Journal of Econometrics, The Journal of Time Series Analysis, The Journal of Empirical Finance, The Journal of Monetary Economics, The Review of Financial Studies and Econometric Theory. (imperial.ac.uk)
  • Long memory affine term structure models" joint with A. Golinski, Journal of Econometrics, forthcoming. (imperial.ac.uk)
  • Fellows in this track will develop their knowledge of modeling and other related subjects such as decision analysis, outbreak response, advanced econometrics, data visualization, machine learning, and the use of software. (cdc.gov)
  • At their 2022 August EC meeting, the Executive Committee of the Econometric Society decided to bring a Data Editor onto the editorial boards of Econometrica , Quantitative Economics and Theoretical Economics . (econometricsociety.org)
  • Johansen, S & Lange, T 2011 ' Some Econometric Results for the Blanchard-Watson Bubble Model ' Department of Economics, University of Copenhagen. (ku.dk)
  • Provide leadership for new and innovative approaches to studying the economics of prevention and health promotion activities including, but not limited to, cost studies, cost-effectiveness, cost-utility, resource allocation, quantitative policy analysis of health system studies, and disease models. (cdc.gov)
  • Abstract This article develops improved calculation techniques for estimating the spatial econometric interaction model of LeSage and Pace (2008) by maximum likelihood (MLE), Bayesian Markov Chain Monte Carlo (MCMC) and spatial two-stage least-squares (S2SLS). (repec.org)
  • All of these developments indicate that the spatial econometric extension of the traditional gravity model has become an increasingly mature alternative and should eventually be considered a standard modeling approach for origin-destination flows. (repec.org)
  • Spatial econometric models. (sas.com)
  • In our opinion, the presented spatial econometric approach may constitute an important contribution to the field of epidemiology. (lodz.pl)
  • Modelling Economic Series: Readings in Econometric Methodology. (wikipedia.org)
  • L Federal Committee on Statistical Methodology, probit models. (cdc.gov)
  • In Section 3 we introduce the data, the model and the methodology. (lu.se)
  • have a deeper understanding of the econometric results presented in this course, · understand the geometrical perspective of econometric theory, · be able to understand relevant empirical and econometric research, · understand concepts from probability theory and statistics relevant to econometric theory, · understand concepts from linear algebra relevant to econometric theory, · have basic knowledge of programming. (lu.se)
  • Do Econometric Models Provide More Accurate Forecasts When They are More Conservative? (ssrn.com)
  • Out-of-sample forecast accuracy was compared with the accuracy of forecasts from the originally published econometric models representing typical practice. (ssrn.com)
  • Combining forecasts from models for US (N=8) and Australian (N=2) elections reduced error by 25% on average. (ssrn.com)
  • Graefe, Andreas and Green, Kesten C. and Armstrong, J. Scott, Do Econometric Models Provide More Accurate Forecasts When They are More Conservative? (ssrn.com)
  • Second, the model ought to be capable of generating short-run forecasts. (syr.edu)
  • This study presents a number of short-term ex-post forecasts of single equation model, Multivariate Autoregressive Moving Average (MARMA) model, simultaneous supply-demand and price system equation model, and Autoregressive Integrated Moving Average (ARIMA) model, and ARCH-type models of natural. (upm.edu.my)
  • Econometric models and economic forecasts / by: Pindyck, Robert S. (upm.edu.my)
  • The assumptions of multiple regression analysis are not met in many practical forecasting situations and, as a result, regression models are insufficiently conservative. (ssrn.com)
  • We tested the effect on forecast accuracy of applying three evidence-based forecasting guidelines to 18 political economy models for forecasting elections in nine countries, all of which were originally estimated using multiple regression analysis. (ssrn.com)
  • A Test of Political Economy Models for Forecasting Elections (August 11, 2015). (ssrn.com)
  • Econometric Forecasting Models. (upm.edu.my)
  • Multivariate Bayesian econometric models. (sas.com)
  • Bayesian vector autoregressive models. (sas.com)
  • Whether a concomitant internationalization can be detected also in the econometric foundations of monetary policy is the topic dealt with in this book. (katz.to)
  • 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)
  • RAND Europe researchers assessed research and innovation reforms in EU countries to improve the modelling of policy impacts within the European Commission's QUEST III macroeconomic model. (rand.org)
  • The European Commission's macroeconomic model, known as QUEST, is used for policy analysis and research and has contributed to the shaping of research and innovation policymaking. (rand.org)
  • A panel data regression approach was used to model health-related quality of life weights and costs. (whiterose.ac.uk)
  • Consequences are estimated based on a comparison of the actual post-disaster economic performance with a counterfactual projected one using an econometric modelling approach. (iiasa.ac.at)
  • Econometric modeling : a likelihood approach / by: Hendry, David F. (mtsu.edu)
  • Econometric Modeling : a Likelihood Approach. (mtsu.edu)
  • The basic theoretical ingredients comprise a data-driven approach to econometric modelling and a generalized approach to cross-sectional aggregation. (katz.to)
  • Robust estimates for volatility models of financial returns. (univr.it)
  • However, the Durbin-Watson (D-W) statistic tests only for autocorrelation of the first order, and it is not valid in dynamic models (Maddala, 1995). (lu.se)
  • 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)
  • Ultimately, we hope to use the model to perform policy simulation experiments to evaluate the effects of alternative governmental and managerial policies on the behavior of the industry. (duke.edu)
  • We conclude with some example simulation results which provide additional evidence of the validity of the model for explaining the behavior of the tobacco industry over the period 1949 through 1966. (duke.edu)
  • The model is formulated with aggregate information over the period 1951-1975 and both static and dynamic simulation along with multiplier analysis are carried out to assess the performance of the model. (uea.ac.uk)
  • abstract = 'The purpose of the present paper is to analyse a simple bubble model suggested by Blanchard and Watson. (ku.dk)
  • Consider using climate models and scenario analysis. (researchgate.net)
  • Dynamic factor models with infinite dimensional factor space: asymptotic analysis", joint with M. Forni, M. Hallin, M. Lippi, third revision requested. (imperial.ac.uk)
  • Analysis of econometric models with continuous time and its applications in finance. (univr.it)
  • We explore a variety of econometric modelling approaches to the analysis of such data. (appliedforecasting.com)
  • Econometric analysis / William H. Greene. (who.int)
  • Econometric analysis of health data/ edited by Andrew M. Jones and Owen O'Donnell. (who.int)
  • Un equipo de investigadores del Basque Centre for Climate Change (BC3) liderado por Iñaki Arto en colaboración con el profesor Kurt Kratena (Centre of Economic Scenario Analysis and Research, CESAR , y Austrian Institute of Economic Research, WIFO ) ha desarrollado un modelo económico-energético-ambiental para el País Vasco orientado el análisis de escenarios y políticas en distintos ámbitos de decisión. (bc3research.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)
  • apply advanced econometric tools to economic problems, · critically review and evaluate assumptions and implementation of econometric analysis, · apply rational modelling strategies even when basic assumptions must be rejected, · implement econometric analyses using econometric software, · implement econometric analyses by writing their own code. (lu.se)
  • An econometric model specifies the statistical relationship that is believed to hold between the various economic quantities pertaining to a particular economic phenomenon. (wikipedia.org)
  • It addresses the role of tests of statistical hypotheses (specification tests) in selection of a statistically admissible model in which to evaluate economic hypotheses. (duke.edu)
  • Next we discuss the theoretical specification of the model and the statistically estimated equations. (duke.edu)
  • The issue is formulated in the context of recent philosophical accounts on the nature of models and related to some results in the literature on specification search. (duke.edu)
  • The most common econometric models are structural, in that they convey causal and counterfactual information, and are used for policy evaluation. (wikipedia.org)
  • Here, by way of a matching model, both are endogenous. (econometricsociety.org)
  • Qualitative and limited dependent variable models with endogenous explanatory variables. (sas.com)
  • Vector autoregressive moving average models. (sas.com)
  • 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)
  • HPQLIM for high-performance qualitative and limited independent variable models. (sas.com)
  • It was a non-interventional, qualitative response econometric study. (bvsalud.org)
  • Mixed logit model. (sas.com)
  • Nested logit model. (sas.com)
  • Results: The Ï 2 test for goodness of fit indicated satisfactory prediction of the estimated logit model. (bvsalud.org)
  • 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)
  • A simple example of an econometric model is one that assumes that monthly spending by consumers is linearly dependent on consumers' income in the previous month. (wikipedia.org)
  • Then the model will consist of the equation C t = a + b Y t − 1 + e t , {\displaystyle C_{t}=a+bY_{t-1}+e_{t},} where Ct is consumer spending in month t, Yt-1 is income during the previous month, and et is an error term measuring the extent to which the model cannot fully explain consumption. (wikipedia.org)
  • For example, an equation modeling consumption spending based on income could be used to see what consumption would be contingent on any of various hypothetical levels of income, only one of which (depending on the choice of a fiscal policy) will end up actually occurring. (wikipedia.org)
  • Parikh, A 1982, ' An econometric model of the agricultural sector of the Indian economy ', Journal of Policy Modeling , vol. 4, no. 3, pp. 395-411. (uea.ac.uk)
  • Stochastic frontier production and cost models. (sas.com)
  • I have heterogeneous panel data model, my data are stationat at level , N=6 T=21,What is the appropriate regression model? (researchgate.net)
  • The history of autocorrelation tests dates back to the paper by Durbin and Watson (1950), who introduced their now classic test for autocorrelated errors in a regression model. (lu.se)
  • 1986) used Monte Carlo methods to compare different LM, Wald and LR alternatives for dynamic single equation models, and showed that using standard F -tests in the second equation was to be preferred. (lu.se)
  • otherwise it is a nonparametric or semiparametric model. (wikipedia.org)
  • However, it is also possible to use econometric models that are not tied to any specific economic theory. (wikipedia.org)
  • Inferential Theory for Generalized Dynamic Factor Models" joint with M. Barigozzi, M. Hallin, and M. Luciani. (imperial.ac.uk)
  • Asymptotic Theory for Spectral Density Estimates of General Multivariate Time Series " joint with WB Wu, Econometric Theory forthcoming. (imperial.ac.uk)
  • The Directorate-General for Research and Innovation (RG R&I) and Directorate General for Economic and Financial Affairs (DG ECFIN) thus commissioned a research project, led by Deloitte LLC, in which RAND Europe contributed to an assessment of research and innovation reforms in EU countries to improve the modelling of policy impacts within QUEST III. (rand.org)
  • One of the major topics related to the modeling of operational risk is the nonavailability of a sufficient amount of data within financial institutions. (risk.net)
  • Covers studies related to econometric modeling of financial markets. (univr.it)
  • Benefit financing model Sims, Christopher A. (1980). (wikipedia.org)
  • The aim of the paper is to define an econometric model that allows water utilities to determine the optimal budget to be used to finance the maintenance work required to reduce water losses. (unisa.it)
  • HPPANEL for high-performance panel data models. (sas.com)
  • Linear state space panel data model. (sas.com)
  • There's no one-size-fits-all model, as each firm's specific circumstances, industries, and locations may require different approaches. (researchgate.net)
  • In all the modelling approaches we implemented, the treatment NPWT was estimated to offer less benefit at higher costs than competing interventions. (whiterose.ac.uk)
  • We apply this framework to model changes in multiple competition law indices ‎and inequality metrics for a large sample of countries over the period 1960-2010. (ssrn.com)
  • Cost-effectiveness estimates were obtained for selected models. (whiterose.ac.uk)
  • Results of search for 'su:{Models, Econometric. (who.int)
  • A Comparison of the Michigan and Fair Models: Further Results," (with L. Alexander), in D. A. Belsley and E. Kuh (eds. (yale.edu)
  • Explore the latest questions and answers in Econometric Modeling, and find Econometric Modeling experts. (researchgate.net)
  • In light of this, the Commission wished to enrich the QUEST III model to better understand the link between research and innovation, employment and growth. (rand.org)
  • RAND Europe used a combination of desk-based research, impact assessment of existing research and innovation reforms, and econometric modelling to support the research project and help to calibrate QUEST III. (rand.org)
  • The purpose of the research described in this report is to produce an econometric model of the Upstate New York economy and two metropolitan areas within it-Albany and Syracuse. (syr.edu)
  • El modelo DERIO (modelo Dinámico Econométrico Regional Input-Output del País Vasco, DERIO por sus siglas en inglés), desarrollado, en el marco del programa Bizka:talent , sigue la filosofía del modelo FIDELIO (Fully Interregional Dynamic Econometric Long-term Input-Output) creado por el profesor Kurt Kratena junto con Iñaki Arto para el Joint Research Centre de la Comisión Europea. (bc3research.org)
  • Multinomial probit model. (sas.com)
  • Journal of Policy Modeling , 4 (3), 395-411. (uea.ac.uk)
  • A Time-Series Econometric Model of the Upstate New York Economy" by Donald H. Dutkowsky, James Follain et al. (syr.edu)
  • Experimental data on social preferences present a number of features that need to be incorporated in econometric modelling. (appliedforecasting.com)
  • This paper describes a way to circumvent this problem by presenting a scaling mechanism that enables us to put data originating from several sources together in one modeling framework. (risk.net)
  • Third, the model is to be developed and maintained by economists knowledgeable of the local economy and estimated specifically for the local economies using locally available data. (syr.edu)
  • 2007). At least two of the models that we estimate succeed in capturing the key features of the data set. (appliedforecasting.com)
  • Econometric models based on count data. (crossref.org)
  • Using econometric models of the data, we present evidence for two of the three hypothesized effects of unemployment. (cdc.gov)
  • In this paper, by using the Monte Carlo procedure we will investigate the properties of the bootstrap-BG test procedure in two different cases, first by bootstrapping under the null hypothesis (that is, bootstrapping the restricted model) and bootstrapping under the alternative hypothesis (that is, bootstrapping the unrestricted model). (lu.se)