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TFP growth and its determinants : a model averaging approach
Danquah, Michael; Moral-Benito, Enrique; Ouattara, Bazoumana - In: Empirical economics : a journal of the Institute for … 47 (2014) 1, pp. 227-251
Persistent link: https://www.econbiz.de/10010380624
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Variable selection and functional form uncertainty in cross-country growth regressions
Salimans, Tim - 2011
Persistent link: https://www.econbiz.de/10008824707
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - In: The review of economics and statistics 96 (2014) 4, pp. 745-755
Persistent link: https://www.econbiz.de/10010488056
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - 2009
Persistent link: https://www.econbiz.de/10003851120
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Variable selection and functional form uncertainty in cross-country growth regressions
Salimans, Tim - 2011
this joint treatment by extending the linear model to allow for multiple-regime parameter heterogeneity of the type … suggested by new growth theory, while addressing the variable selection problem by means of Bayesian model averaging …. Controlling for variable selection uncertainty, we confirm the evidence in favor of new growth theory presented in several earlier …
Persistent link: https://www.econbiz.de/10011382708
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - 2009
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...
Persistent link: https://www.econbiz.de/10011378362
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Stock Returns and Real Growth : A Bayesian Nonparametric Approach
Yang, Qiao - 2019
This study constructs a Bayesian nonparametric model to investigate whether stock market returns predict real economic growth. Unlike earlier studies, our use of an infinite hidden Markov model enables parameters to be time-varying across an infinite number of Markov-switching states estimated...
Persistent link: https://www.econbiz.de/10012899603
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Growth empirics : a Bayesian semiparametric model with random coefficients for a panel of OECD countries
Baltagi, Badi H.; Bresson, Georges; Etienne, Jean-Michel - In: Essays in honor of Cheng Hsiao, (pp. 217-253). 2020
Persistent link: https://www.econbiz.de/10012249405
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Forecasting Aggregate Productivity Using Information from Firm-Level Data
Bartelsman, Eric J. - 2017
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...
Persistent link: https://www.econbiz.de/10012976846
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Chapter 7 Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries
Baltagi, Badi H.; Bresson, Georges; Etienne, Jean-Michel - In: Essays in honor of Cheng Hsiao, (pp. 217-253). 2020
observed over the period 1971–2015. The observed differentiated behaviors by country reveal strong heterogeneity. This is the …
Persistent link: https://www.econbiz.de/10015088871