Showing 1 - 10 of 154
This paper generalizes the approach to estimating a first-order spatial autoregressive model with spatial autoregressive disturbances (SARAR(1,1)) in a cross-section with heteroskedastic innovations by Kelejian and Prucha (2008) to the case of spatial autoregressive models with spatial...
Persistent link: https://www.econbiz.de/10005406007
One important goal of this study is to develop a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations. We first...
Persistent link: https://www.econbiz.de/10005766296
In this paper we specify a linear Cliff and Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate a multi-step...
Persistent link: https://www.econbiz.de/10005181476
This paper provides an overview of the recent literature on estimation and inference in large panel data models with … cross-sectional dependence. It reviews panel data models with strictly exogenous regressors as well as dynamic models with …-sectional dependence. It considers a number of alternative estimators for static and dynamic panel data models, distinguishing between …
Persistent link: https://www.econbiz.de/10010877867
This paper extends the Common Correlated Effects (CCE) approach developed by Pesaran (2006) to heterogeneous panel data … of cross section averages must be included in individual equations of the panel, and the number of cross section averages … dimension of the panel is sufficiently large. …
Persistent link: https://www.econbiz.de/10010877901
an application to the estimation of panel data models with an infinite number of weak factors and a finite number of …
Persistent link: https://www.econbiz.de/10005034631
chemical industry. We use a rich panel data-set of 12,552 firms observed over the period 2004-2006 and model output by the firm …
Persistent link: https://www.econbiz.de/10011097946
a rich panel data-set of 25,360 firms observed over the period 2004-2007. This industry is characterized by its …
Persistent link: https://www.econbiz.de/10010877809
Involuntary job loss in administrative data is commonly identified by focusing on mass-layoffs or plant closures. However, such events usually do not happen without prior knowledge, which potentially leads to selection in the labor turnover of distressed firms. We find that workers separating...
Persistent link: https://www.econbiz.de/10005405725
This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial …
Persistent link: https://www.econbiz.de/10005405754