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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/10008856398
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/10009010169
Persistent link: https://www.econbiz.de/10010256161
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/10013129942
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
pooled mean group estimator (SPMG) to deal with these features. Using this new panel estimator and a dataset spanning almost …
Persistent link: https://www.econbiz.de/10013041372
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/10009130496
Persistent link: https://www.econbiz.de/10013263388
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/10003854425
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/10003969212