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Persistent link: https://www.econbiz.de/10011592260
In this paper we analyze a multivariate non-stationary regression model empirically. With the knowledge about unconditional heteroscedasticty of financial returns, based on univariate studies and a congruent paradigm in Gürtler and Rauh (2009), we test for a time-varying covariance structure...
Persistent link: https://www.econbiz.de/10009680208
The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations...
Persistent link: https://www.econbiz.de/10011335189
This paper examines whether growth regressions should incorporate dualism and structural change. If there is a … factor productivity. The paper develops empirical growth models that allow for this effect in a more flexible way than … labour can explain a significant fraction of the international variation in TFP growth. …
Persistent link: https://www.econbiz.de/10011451098
We propose in this article a Composite Logistic Regression (CLR) approach for ordinal panel data regression. The new method transforms the original ordinal regression problem into a number of binary ones. Thereafter, the method of conditional logistic regression (Chamberlain, 1984; Wooldridge, 2001;...
Persistent link: https://www.econbiz.de/10012765736
The significant impact of international tourism in stimulating economic growth is especially important from a policy … perspective. For this reason, the relationship between international tourism and economic growth would seem to be an interesting … empirical issue. In particular, if there is a causal link between international tourism demand and economic growth, then …
Persistent link: https://www.econbiz.de/10013070653
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the...
Persistent link: https://www.econbiz.de/10011524832
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the...
Persistent link: https://www.econbiz.de/10010494997
Persistent link: https://www.econbiz.de/10013184885
Persistent link: https://www.econbiz.de/10012058143