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This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for the … sample properties for panels with moderate time dimensions and irrespective of the number of cross section units in the panel …
Persistent link: https://www.econbiz.de/10011283005
TWFE panel data Difference-in-Differences (DID) model to define the correct statistical framework of the study, and to …
Persistent link: https://www.econbiz.de/10014563801
A relatively simple frequency-type testing procedure for unit root potentially contaminated by an additive stationary noise is introduced, which encompasses general settings and allows for linear trends. The proposed test for unit root versus stationarity is based on a finite number of...
Persistent link: https://www.econbiz.de/10010517695
Using panel co-integration techniques and a comprehensive dataset covering the period 1980-2013, this paper finds a …-regional heterogeneity; and iii) the estimated coefficient is largest amongst the biggest economies in the region. It is concluded that low …
Persistent link: https://www.econbiz.de/10011339421
approaches. On the one hand, by using a panel error correction model with a sample of 130 countries between 1980 and 2020, we …
Persistent link: https://www.econbiz.de/10014461312
Persistent link: https://www.econbiz.de/10011514454
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imports. To this end, we were able to obtain theory-implied estimates of import and export income and price elasticities for …
Persistent link: https://www.econbiz.de/10012260864
Multivariate random sums appear in many scientific fields, most notably in actuarial science, where they model both the number of claims and their sizes. Unfortunately, they pose severe inferential problems. For example, their density function is analytically intractable, in the general case,...
Persistent link: https://www.econbiz.de/10014575595