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In this paper we discuss tests for residual cross section dependence in nonlinear panel data models. The tests are based on average pair-wise residual correlation coefficients. In nonlinear models, the definition of the residual is ambiguous and we consider two approaches: deviations of the...
Persistent link: https://www.econbiz.de/10014051110
We propose a panel data approach to disentangle the impact of "one treatment" from the "other treatment" when the observed outcomes are subject to both treatments. We use the Great Hanshin-Awaji earthquake that took place on January 17, 1995 to illustrate our methodology. We find that there are...
Persistent link: https://www.econbiz.de/10014140827
We consider the method of moments estimation of a structural equation in a panel dynamic simultaneous equations model under different sample size combinations of cross-sectional dimension, N, and time series dimension, T. Two types of linear transformation to remove the individual-specific...
Persistent link: https://www.econbiz.de/10012950010
We use a quasi-likelihood function approach to clarify the role of initial values and the relative sample size of the cross-section dimension N and the time series dimension T on the asymptotic properties of estimators for dynamic panel data models with the presence of individual-specific...
Persistent link: https://www.econbiz.de/10012921781
This note discusses the pros and cons of using the conditional mean approach of Mundlak (1978) and Chamberlain (1980) and the linear difference approach to deal with the incidental parameters issue in estimating fixed effects dynamic panel data models. The importance of the data generating...
Persistent link: https://www.econbiz.de/10012907093
This study investigates an AR (autoregressive)-filtered version of several conventional diagnostic tests for cross-sectional dependence in large mixed panels, including the adjusted LM test, the CD test, and the Schott test. We show that the modified tests asymptotically follow the standard...
Persistent link: https://www.econbiz.de/10012896314
This paper considers estimation and inference in panel vector autoregressions (PVARs) with fixed effects when the time dimension of the panel is finite, and the cross-sectional dimension is large. A Maximum Likelihood (ML) estimator based on a transformed likelihood function is proposed and...
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