Showing 1 - 10 of 1,907
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/10013158328
-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross …
Persistent link: https://www.econbiz.de/10013028784
This paper considers the problem of aggregation in the case of large linear dynamic panels, where each micro unit is potentially related to all other micro units, and where micro innovations are allowed to be cross sectionally dependent. Following Pesaran (2003), an optimal aggregate function is...
Persistent link: https://www.econbiz.de/10013038262
This paper extends the analysis of infinite dimensional vector autoregressive models (IVAR) proposed in Chudik and Pesaran (2010) to the case where one of the variables or the cross section units in the IVAR model is dominant or pervasive. This extension is not straightforward and involves...
Persistent link: https://www.econbiz.de/10013143234
This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be …
Persistent link: https://www.econbiz.de/10013089182
the estimation of long-run effects in dynamic heterogeneous panel data models with cross-sectionally dependent errors. The …
Persistent link: https://www.econbiz.de/10013071384
EU and OECD countries. The estimation approach accounts for firm heterogeneity and selection bias in a panel …
Persistent link: https://www.econbiz.de/10013049209
panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error …
Persistent link: https://www.econbiz.de/10013051285
This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit … analysis and allows to obtain estimates and confidence intervals which are consistent with structural trade theory. Assuming …
Persistent link: https://www.econbiz.de/10012926575
, using panel data for 1,527 subnational regions in 83 nations from 1950-2014. This data structure allows us to exploit within …
Persistent link: https://www.econbiz.de/10012930611