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estimator continues to be consistent even in the presence of cross-sectional heteroskedasticity. We also obtain standard errors … that are robust to cross-sectional heteroskedasticity of unknown form. By means of Monte Carlo simulation, we investigate …-sectional heteroskedasticity ; Monte Carlo simulation ; GMM estimation …
Persistent link: https://www.econbiz.de/10009545313
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of...
Persistent link: https://www.econbiz.de/10010358963
estimator continues to be consistent even in the presence of cross-sectional heteroskedasticity. We also obtain standard errors … that are robust to cross-sectional heteroskedasticity of unknown form. By means of Monte Carlo simulation, we investigate …-sectional heteroskedasticity ; Monte Carlo simulation ; GMM estimation …
Persistent link: https://www.econbiz.de/10009570680
This paper, using the Bewley (1979) transformation of the autoregressive distributed lag model, proposes a novel pooled Bewley (PB) estimator of long-run coefficients for dynamic panels with heterogeneous short-run dynamics, in the same setting as the widely used Pooled Mean Group (PMG)...
Persistent link: https://www.econbiz.de/10014357208
Persistent link: https://www.econbiz.de/10012991206
This paper contributes to the GMM literature by introducing the idea of self-instrumenting target variables instead of searching for instruments that are uncorrelated with the errors, in cases where the correlation between the target variables and the errors can be derived. The advantage of the...
Persistent link: https://www.econbiz.de/10012943386
This paper contributes to the GMM literature by introducing the idea of self-instrumenting target variables instead of searching for instruments that are uncorrelated with the errors, in cases where the correlation between the target variables and the errors can be derived. The advantage of the...
Persistent link: https://www.econbiz.de/10012943450
This paper contributes to the GMM literature by introducing the idea of self-instrumenting target variables instead of searching for instruments that are uncorrelated with the errors, in cases where the correlation between the target variables and the errors can be derived. The advantage of the...
Persistent link: https://www.econbiz.de/10012946881
This paper contributes to the GMM literature by introducing the idea of self-instrumenting target variables instead of searching for instruments that are uncorrelated with the errors, in cases where the correlation between the target variables and the errors can be derived. The advantage of the...
Persistent link: https://www.econbiz.de/10011735967
This paper considers estimation and inference in linear panel regression models with lagged dependent variables and/or other weakly exogenous regressors when N (the cross section dimension) is large relative to T (the time series dimension). It allows for fixed and time effects (FE-TE) and...
Persistent link: https://www.econbiz.de/10012934791