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This article uses the recent developments in the econometrics of non-stationary dynamic panels to reassess the …
Persistent link: https://www.econbiz.de/10013158793
A relatively new type of panel data analysis is becoming more and more topical in the applied econometrics literature …
Persistent link: https://www.econbiz.de/10014201221
Fractional dependent variables and models with state dependence arise in many economic applications. However, estimating models with fractional dependent variables is complicated by the presence of two corner solution outcomes. When coupled with a dynamic panel data setting, estimating...
Persistent link: https://www.econbiz.de/10014223683
This paper analyzes data from 107 countries, spanning 1971-2009, and grouped into three income-based panels to determine the direction and sign of panel long-run causality between transport energy consumption per capita and real GDP per capita. The methods employed address heterogeneity and (at...
Persistent link: https://www.econbiz.de/10013062591
This paper adds to the literature on the income-health gradient by exploring the association of short- and long-term income with a wide set of self-reported health measures and objective nurse-administered and blood-based biomarkers as well as employing estimation techniques that allow for...
Persistent link: https://www.econbiz.de/10011621547
We propose a novel estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating the bias in the first-order conditions as a function of the autoregressive parameter and solving the resulting equation. We show that this estimator performs well as compared...
Persistent link: https://www.econbiz.de/10011742410
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Florian Dorn erstellte diesen Beitrag während seines Promotionsstudiums an der Universität München (LMU). Die Studie wurde im September 2020 abgeschlossen und von der Fakultät für Volkswirtschaftslehre als Dissertation angenommen. Die Dissertation trägt zur Empirie der Ökonomie des...
Persistent link: https://www.econbiz.de/10012807266
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