Showing 1 - 7 of 7
We obtain an LM test for the random effects probit model. In the natural parameterization of the model the necessary derivatives are identically zero under the null hypothesis. After a reparameterization, the feasible LM test is based on generalized residuals.
Persistent link: https://www.econbiz.de/10011189539
This paper constructs the simultaneous confidence band for the nonparametric function in nonparametric fixed effects panel data models. We first transform the nonparametric fixed effects panel data models into the partially linear models. We then obtain the estimator of the nonparametric...
Persistent link: https://www.econbiz.de/10010664111
This paper theoretically explains why bias correction appears in two statistics recently developed by Baltagi et al. (2011, 2012), which are designed to test the sphericity and cross-sectional dependence of the errors in the fixed effects panel model respectively. Our explanation shows that the...
Persistent link: https://www.econbiz.de/10011041555
This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey including 26 NUTS-2 regions over the period 2005–2008. We find an unemployment elasticity of −0.099, with a higher elasticity for younger, less educated, less experienced and female workers.
Persistent link: https://www.econbiz.de/10011041749
We extend the fixed effects maximum likelihood estimator to a proportional hazard model with a flexibly parametric baseline hazard. We use the method to estimate a job duration model for young men, and show that failure to account for unobserved fixed effects causes negative schooling and union...
Persistent link: https://www.econbiz.de/10010597187
We propose an empirical likelihood method for application to a partially linear panel data model with fixed effects. The empirical log-likelihood ratio statistic is proved to be asymptotically chi-squared distributed, and the asymptotic properties of estimators for both the parametric and...
Persistent link: https://www.econbiz.de/10010572182
This paper investigates the quasi-maximum likelihood (QML) estimation of spatial panel data models where spatial weights matrices can be time varying. We show that QML estimate is consistent and asymptotically normal. We also derive the asymptotic distribution of average impact coefficients...
Persistent link: https://www.econbiz.de/10011208460