• 1998
  • Another meta-analysis of 41 empirical studies on the wage gap performed in 1998 found a similar time trend in estimated pay gaps, a decrease of roughly 1% per year. (wikipedia.org)
  • model
  • Regression model validation is the process of deciding whether the numerical results quantifying hypothesized relationships between variables, obtained from regression analysis, are in fact acceptable as descriptions of the data. (brainmass.com)
  • We describe a functional regression model for predicting the angles as they change with time as a function of the target being reached, the anthropometry and other characteristics of the individual. (sae.org)
  • The meta-regression is estimated by using the Random Effects Multilevel Model (REML) because it controls for within- and between-study heterogeneity. (repec.org)
  • In statistics, multicollinearity (also collinearity) is a phenomenon in which one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial degree of accuracy. (wikipedia.org)
  • sufficient
  • A related but distinct approach is necessary condition analysis (NCA), which estimates the maximum (rather than average) value of the dependent variable for a given value of the independent variable (ceiling line rather than central line) in order to identify what value of the independent variable is necessary but not sufficient for a given value of the dependent variable. (wikipedia.org)
  • models
  • The price sensitivity of selective demand: A meta-analysis of econometric models of sales. (springer.com)
  • Reciprocal Trade Agreements in Gravity Models: A Meta-Analysis ," Review of International Economics , Wiley Blackwell, vol. 18(1), pages 63-80, February. (repec.org)
  • Reciprocal Trade Agreements in Gravity Models: A Meta-analysis ," Working Papers 18877, TRADEAG - Agricultural Trade Agreements. (repec.org)
  • Reciprocal trade agreements in gravity models: a meta-analysis ," Economics & Statistics Discussion Papers esdp07035, University of Molise, Dept. EGSeI. (repec.org)
  • Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. (cambridge.org)
  • Overfitting is more likely to be a serious concern when there is little theory available to guide the analysis, in part because then there tend to be a large number of models to select from. (wikipedia.org)
  • exogenous
  • In seemingly unrelated regression (SUR), each response variable is a function of a subset of the exogenous series, but not of any endogenous variable. (mathworks.com)
  • Multicollinearity
  • Furthermore, we show how to use the results of a regression to calculate elasticities and to identify outliers and discuss in details the problems that occur in case of autocorrelation, multicollinearity and heteroscedasticity. (springer.com)
  • different
  • The concept of homogeneity can be applied in many different ways and, for certain types of statistical analysis, it is used to look for further properties that might need to be treated as varying within a dataset once some initial types of non-homogeneity have been dealt with. (wikipedia.org)
  • phenomenon
  • The term "regression" was coined by Francis Galton in the nineteenth century to describe a biological phenomenon. (wikipedia.org)
  • The phenomenon was that the heights of descendants of tall ancestors tend to regress down towards a normal average (a phenomenon also known as regression toward the mean). (wikipedia.org)
  • mean
  • It works on similar principles as the Working-Hotelling procedure for estimating mean responses in regression, which applies to the set of all possible factor levels. (wikipedia.org)
  • form
  • The earliest form of regression was the method of least squares, which was published by Legendre in 1805, and by Gauss in 1809. (wikipedia.org)