Econometric models are statistical models used in econometrics. An econometric model specifies the statistical relationship that is believed to hold between...

consistency. Applied econometrics uses theoretical econometrics and real-world data for assessing economic theories, developing econometric models, analysing economic...

linear model Seemingly unrelated regressions Reduced form Parameter identification problem Martin, Vance; Hurn, Stan; Harris, David (2013). Econometric Modelling...

Davidson, J. E. H.; Hendry, D. F.; Srba, F.; Yeo, J. S. (1978). "Econometric modelling of the aggregate time-series relationship between consumers' expenditure...

{\displaystyle v} and v ′ {\displaystyle v^{\prime }} . The financial econometric model of Nasini and Erdemlioglu can be written as p v ( t )   =   η v (...

Spatial econometrics is the field where spatial analysis and econometrics intersect. The term “spatial econometrics” was introduced for the first time...

economist. For his work in creating computer models to forecast economic trends in the field of econometrics in the Department of Economics at the University...

'endogeneity' in econometrics has a related but distinct meaning. An endogenous random variable is correlated with the error term in the econometric model, while...

changed into a linear form for the purpose of econometric analyses by employing logarithms. The model has been used by economists to analyse the determinants...

In econometrics, endogeneity broadly refers to situations in which an explanatory variable is correlated with the error term. The distinction between endogenous...

Wharton Econometric Forecasting Associates, Inc (WEFA Inc) was an economics forecasting and consulting organization founded by Nobel Prize winner Lawrence...

on those models would therefore potentially be misleading. This argument called into question the prevailing large-scale econometric models that lacked...

The methodology of econometrics is the study of the range of differing approaches to undertaking econometric analysis. The econometric approaches can be...

functions of the exogenous variables, if any. In econometrics, the equations of a structural form model are estimated in their theoretically given form...

Bayesian econometrics is a branch of econometrics which applies Bayesian principles to economic modelling. Bayesianism is based on a degree-of-belief interpretation...

Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part...

and Orthodox biblical canon, or its principal character Tobit model, an econometric model for censored endogenous variables proposed by James Tobin Tobit...

an advanced/developed economy. Structural change tests are a type of econometric hypothesis test. They are used to verify the equality of coefficients...

earliest computational simulations of an econometric model, Irma and Frank Adelman (1959) tested the Klein–Goldberger model on an IBM 650 at the Berkeley Radiation...

potential outcomes can be derived from Structural Equation Models (SEMs) thus unifying econometrics and modern causal analysis. Causation Principal stratification...

global macroeconomic model, Wharton Econometric Forecasting Associates' LINK project, was initiated by Lawrence Klein. The model was cited in 1980 when...

many criticisms of econometrics' usefulness as a discipline and perceived widespread methodological shortcomings in econometric modelling practices. Like...

PcGive for dynamic econometric models (ARDL, VAR, GARCH, Switching, Autometrics), panel data models (DPD), limited dependent models, are STAMP for structural...

Labini worked on developing an econometric model of the Italian economy. His model was the first systematic econometric research on the Italian economy...

time-series data, as well as future forecasting purposes. DSGE econometric modelling applies general equilibrium theory and microeconomic principles...

called Hausman specification test) is a statistical hypothesis test in econometrics named after James Durbin, De-Min Wu, and Jerry A. Hausman. The test evaluates...

Inference in Econometrics. New York: Oxford University Press. pp. 616–620. ISBN 0-19-506011-3. Verbeek, Marno (2004). A Guide to Modern Econometrics (2nd ed...

Extensions to this cross-sectional model have been provided that allow for taking into account important econometric issues, such as endogenous explanatory...

global macroeconomic model, Wharton Econometric Forecasting Associates' LINK project, was initiated by Lawrence Klein. The model was cited in 1980 when...

economics and various related fields). Indeed many alternative models exist in econometrics, marketing, sociometrics and other fields, including utility...