Add to ORKGOne of the problems most frequently encountered by the applied econometrician is the choice between logarithmic and linear regression models. Economic theory is rarely of great help although there are cases where one or other specification is clearly inap-propriate; for example, in demand analysis constant elasticity specifications are inconsis
The log-linear models and logistic regression assume two different representations of the relationsh...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
A broad framework for examining the class of unidimensional and multidimensional models for item res...
This is a comment on Economic Letters DOI http://dx.doi.org/10.1016/j.econlet.2015.10.015. We show t...
Applied economic research often involves testing between onnested models. In such situations informa...
Linear regression analysis is one of the most important statistical methods. Itexamines the linear r...
This thesis considers two aspects of statistical inference associated with the linear regression mod...
An open question in empirical economics is whether models should be estimated by using the logarithm...
<p>Standard errors in parentheses.</p><p>Regression Results, Logarithmic Model: Economics.</p
nonparametric regression, semiparametric regression, partial linear model, least squares, empirical ...
In the discipline of economics, the vast array of economic theories which are available to economist...
Attention is drawn to the incorrect interpretation of certain provisions in the practical use of the...
In the standard classical regression model the most commonly used procedures for estimation are base...
Most economists understand linear regression as the estimation of the parameters of a linear model. ...
This paper discusses the two different contradicting philosophies for testing models in financial ec...
The log-linear models and logistic regression assume two different representations of the relationsh...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
A broad framework for examining the class of unidimensional and multidimensional models for item res...
This is a comment on Economic Letters DOI http://dx.doi.org/10.1016/j.econlet.2015.10.015. We show t...
Applied economic research often involves testing between onnested models. In such situations informa...
Linear regression analysis is one of the most important statistical methods. Itexamines the linear r...
This thesis considers two aspects of statistical inference associated with the linear regression mod...
An open question in empirical economics is whether models should be estimated by using the logarithm...
<p>Standard errors in parentheses.</p><p>Regression Results, Logarithmic Model: Economics.</p
nonparametric regression, semiparametric regression, partial linear model, least squares, empirical ...
In the discipline of economics, the vast array of economic theories which are available to economist...
Attention is drawn to the incorrect interpretation of certain provisions in the practical use of the...
In the standard classical regression model the most commonly used procedures for estimation are base...
Most economists understand linear regression as the estimation of the parameters of a linear model. ...
This paper discusses the two different contradicting philosophies for testing models in financial ec...
The log-linear models and logistic regression assume two different representations of the relationsh...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
A broad framework for examining the class of unidimensional and multidimensional models for item res...