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Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects
Malikov, Emir; Kumbhakar, Subal; Sun, Yiguo - In: Journal of econometrics 190 (2016) 2, pp. 233-251
Persistent link: https://www.econbiz.de/10011592260
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Empirical studies in a multivariate non-stationary, nonparametric regression model for financial returns
Gürtler, Marc; Rauh, Ronald - 2013
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
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Measurement error in education and growth regressions
Portela, Miguel; Alessie, Rob; Teulings, Coen N. - 2005
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
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Dualism and cross-country growth regressions
Temple, Jonathan; Woessmann, Ludger - 2004
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
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A Composite Logistic Regression Approach for Ordinal Panel Data Regression
Luo, Ronghua - 2009
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
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A quantile correlated random coefficients panel data model
Graham, Bryan S.; Hahn, Jinyong; Poirier, Alexandre; … - 2016
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
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Quantile regression with panel data
Graham, Bryan S.; Hahn, Jinyong; Poirier, Alexandre; … - 2015
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
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A Panel Threshold Model of Tourism Specialization and Economic Development
Chang, Chia-Lin - 2014
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
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Analysis of distinct asymmetries in financial integration-growth nexus for industrial, emerging and developing countries
Yolcu Karadam, Duygu; Öcal, Nadir - In: International journal of finance & economics : IJFE 27 (2022) 2, pp. 2326-2344
Persistent link: https://www.econbiz.de/10013184885
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The hidden effect of innovation on the growth of Spanish firms
Nogueira, Manuel Ángel; Fernández-López, Sara; … - In: International journal of entrepreneurship and small business 37 (2019) 2, pp. 167-189
Persistent link: https://www.econbiz.de/10012058143