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This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...
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derived from economic theory or institutional constraints. Sometimes the restrictions are insufficient for identifying all …
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under consideration. Using a cointegration approach, they find strong evidence pointing towards a long-run relationship … evidence of cointegration once the finite sample bias is taken into account. Moreover, there is only weak evidence of a …
Persistent link: https://www.econbiz.de/10011398670
We argue that, under certain conditions, firms consider exports as a substitute for domestic demand. Our econometric model for six euro area countries suggests domestic demand and capacity constraints as additional variables for export equations. We apply the exponential and logistic variant of...
Persistent link: https://www.econbiz.de/10011300368
Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have...
Persistent link: https://www.econbiz.de/10010249640
This paper provides a review of the literature on unit roots and cointegration in panels where the time dimension (T … degrees, the dependence that might prevail across the different units in the panel. In the analysis of cointegration the … hypothesis testing and estimation problems are further complicated by the possibility of cross section cointegration which could …
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