Showing 1 - 10 of 21
This paper studies the asymptotic properties of standard panel data estimators in a simple panel regression model with error component disturbances. Both the regressor and the remainder disturbance term are assumed to be autoregressive and possibly non-stationary. Asymptotic distributions are...
Persistent link: https://www.econbiz.de/10014183167
This paper derives a joint Lagrange Multiplier (LM) test which simultaneously tests for the absence of spatial lag dependence and random individual effects in a panel data regression model. It turns out that this LM statistic is the sum of two standard LM statistics. The first one tests for the...
Persistent link: https://www.econbiz.de/10014183452
Persistent link: https://www.econbiz.de/10009242395
Persistent link: https://www.econbiz.de/10003802390
This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003) proposed for the cross-sectional spatial autoregressive model to the random effects spatial autoregressive panel data model. It also suggests an extension of the Baltagi (1981) error component...
Persistent link: https://www.econbiz.de/10013127387
Persistent link: https://www.econbiz.de/10001862308
Persistent link: https://www.econbiz.de/10001445118
Persistent link: https://www.econbiz.de/10001235270
Persistent link: https://www.econbiz.de/10001671967
This paper proposes a generalized panel data model with random effects and first-order spatially autocorrelated residuals that encompasses two previously suggested specifications. The first one is described in Anselin's (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our...
Persistent link: https://www.econbiz.de/10014183595