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This paper argues that typical applications of panel unit root tests should take possible nonstationarity in the … volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when … enjoyed by many industrialized countries, known as the "Great Moderation". It also proposes a new testing approach for panel …
Persistent link: https://www.econbiz.de/10009779045
This paper argues that typical applications of panel unit root tests should take possible nonstationarity in the … volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when … enjoyed by many industrialized countries, known as the `Great Moderation.' It also proposes a new testing approach for panel …
Persistent link: https://www.econbiz.de/10010343777
This paper proposes an alternative estimation procedure for estimating the unobserved effects panel stochastic frontier …
Persistent link: https://www.econbiz.de/10012891869
work. Dynamic panel data models have become increasingly popular in macroeconomics to study common relationships across … countries or regions. This paper estimates dynamic panel data models with stochastic volatility by maximizing an approximate …
Persistent link: https://www.econbiz.de/10011650493
revisit this question and test the long run stability of a production function with urbanization using non-stationary panel …
Persistent link: https://www.econbiz.de/10013127230
Eines der wichtigsten Verfahren zur Anonymisierung von Betriebs-und Unternehmensdaten ist die stochastische Überlagerung. Ihr Einsatz zur Sicherstellung der faktischen Anonymität der Einheiten eines Datensatzes führt jedoch zu inkonsistenten Schätzungen von linearen Panelmodellen und macht...
Persistent link: https://www.econbiz.de/10003879025
Persistent link: https://www.econbiz.de/10012211815
before using the synthetic control method when the panels are nonstationary. I apply the synthetic control method to a panel …
Persistent link: https://www.econbiz.de/10013241618
The truncated bivariate normal stochastic frontier model (TBN-SFM), which is globally unidentifiable on its natural parameter space, has been recently shown to be locally near-identifiable even under the identifying parametric restrictions. Maximum Likelihood estimation of such a model is...
Persistent link: https://www.econbiz.de/10013158500
Heckman's (1979) sample selection model has been employed in three decades of applications of linear regression studies. The formal extension of the method to nonlinear models, however, is of more recent vintage. A generic solution for nonlinear models is proposed in Terza (1998). We have...
Persistent link: https://www.econbiz.de/10012724591