Add to ORKGEconomic theories are often fitted directly to data to avoid possible model selection biases. We show that embedding a theory model that specifies the correct set of m relevant exogenous variables, x{t}, within the larger set of m+k candidate variables, (x{t},w{t}), then selection over the second set by their statistical significance can be undertaken without affecting the estimator distribution of the theory parameters. This strategy returns the theory-parameter estimates when the theory is correct, yet protects against the theory being under-specified because some w{t} are relevant.Model selection, theory retention.
Model selection criteria are used in many contexts in economics. The issue of determining an approp...
The use of in Model Selection is a common practice in econometrics. The rationale is that the statis...
In the classical theory of statistical inference, data is assumed to be generated from a known model...
Economic theories are often fitted directly to data to avoid possible model selection biases. This i...
This paper outlines several difficulties with testing economic theories, particularly that the theor...
Trygve Haavelmo’s Probability Approach aimed to implement economic theories, but he later recognized...
The problem of statistical model selection in econometrics and statistics is reviewed. Model selecti...
We argue that model selection uncertainty should be fully incorporated into statistical inference wh...
In the classical theory of statistical inference, data is assumed to be generated from a known model...
This paper investigates four topics. (1) It examines the different roles played by the propensity sc...
Statistical models are often fitted to obtain a concise description of the association of an outcome...
This dissertation discusses model selection and evaluation in economics from a variety of perspectiv...
We review recent research on model selection in econometric modelling, forecasting, and policy analy...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
General unrestricted models (GUMs) may include important individual determinants, many small relevan...
Model selection criteria are used in many contexts in economics. The issue of determining an approp...
The use of in Model Selection is a common practice in econometrics. The rationale is that the statis...
In the classical theory of statistical inference, data is assumed to be generated from a known model...
Economic theories are often fitted directly to data to avoid possible model selection biases. This i...
This paper outlines several difficulties with testing economic theories, particularly that the theor...
Trygve Haavelmo’s Probability Approach aimed to implement economic theories, but he later recognized...
The problem of statistical model selection in econometrics and statistics is reviewed. Model selecti...
We argue that model selection uncertainty should be fully incorporated into statistical inference wh...
In the classical theory of statistical inference, data is assumed to be generated from a known model...
This paper investigates four topics. (1) It examines the different roles played by the propensity sc...
Statistical models are often fitted to obtain a concise description of the association of an outcome...
This dissertation discusses model selection and evaluation in economics from a variety of perspectiv...
We review recent research on model selection in econometric modelling, forecasting, and policy analy...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
General unrestricted models (GUMs) may include important individual determinants, many small relevan...
Model selection criteria are used in many contexts in economics. The issue of determining an approp...
The use of in Model Selection is a common practice in econometrics. The rationale is that the statis...
In the classical theory of statistical inference, data is assumed to be generated from a known model...