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In this paper Kuznets' U-Curve hypothesis is tested on two unbalanced panel data sets of 47 and 62 countries, for the period 1970-93, using two-way fixed and random effects models. Several competing model specifications are estimated and the one best fitting the data is selected by appropriate...
Persistent link: https://www.econbiz.de/10005581110
It is well known that the usual techniques for estimating random and fixed effects panel data models are inconsistent in the dynamic setting. As a consequence, numerous consistent estimators have been proposed in the literature. However, all such estimators rely on certain well defined...
Persistent link: https://www.econbiz.de/10005087599
In this paper two new estimators are offred (one each for the fixed random effects specifications), and small sample performance compared with that of all the existing estimators.
Persistent link: https://www.econbiz.de/10005581132
The gravity model has long been used for modelling and predicting trade flows. This paper generalises the gravity model allowing for proper representation of local and target country effects and also the business cycle. The new approach is based on a panel data framework (instead of a simple...
Persistent link: https://www.econbiz.de/10004965359
The analysis of economic time series assumes specific economic behaviour of a representative agent. The data used in analysis is generated by aggregating observations of all individuals in a population. This is valid only if all members of a population have the same data generating process, but...
Persistent link: https://www.econbiz.de/10005427607
This paper implements a panel data approach of the Solow model to study the phenomenon of growth convergence for 22 OECD countries. It shows that the derived estimable Solow model is probably underspecified from an econometric point of view, it is still possible to conclude that there is a...
Persistent link: https://www.econbiz.de/10005087587
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Persistent link: https://www.econbiz.de/10005427638
Recent advances in computing power have brought the use of computer intensive estimation methods of binary panel data models within the reach of the applied researcher. The aim of this paper is to apply some of these techniques to a marleting data set and compare the results. In addition, their...
Persistent link: https://www.econbiz.de/10005149066