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On the effect of mean-nonstationarity in dynamic panel data models
Hayakawa, Kazuhiko - In: Journal of econometrics 153 (2009) 2, pp. 133-135
Persistent link: https://www.econbiz.de/10003920282
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The bias-corrected first-difference estimator in dynamic panel data models with cross section dependence and heteroscedasticity
Hayakawa, Kazuhiko (contributor) - 2007
Persistent link: https://www.econbiz.de/10003486344
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A simple efficient instrumental variable estimator in panel AR(p) models
Hayakawa, Kazuhiko (contributor) - 2007
Persistent link: https://www.econbiz.de/10003486347
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A simple efficient instrumental variable estimator for panel AR(p) models when both N and T are large
Hayakawa, Kazuhiko - In: Econometric theory 25 (2009) 3, pp. 873-890
Persistent link: https://www.econbiz.de/10003864220
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Consistent OLS estimation of AR(1) dynamic panel data models with short time series
Hayakawa, Kazuhiko - In: Applied economics letters 14 (2007) 13/15, pp. 1141-1145
Persistent link: https://www.econbiz.de/10003606924
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The asymptotic properties of the system GMM estimator in dynamic panel data models when both N and T are large
Hayakawa, Kazuhiko - In: Econometric theory 31 (2015) 3, pp. 647-667
Persistent link: https://www.econbiz.de/10011290881
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Identification problem of GMM estimators for short panel data models with interactive fixed effects
Hayakawa, Kazuhiko - In: Economics letters 139 (2016), pp. 22-26
Persistent link: https://www.econbiz.de/10011615611
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Corrected standard errors for optimal minimum distance estimator
Hayakawa, Kazuhiko - In: Economics letters 167 (2018), pp. 5-9
Persistent link: https://www.econbiz.de/10012015748
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On the effect of nonstationary initial conditions in dynamic panel data models
Hayakawa, Kazuhiko (contributor) - 2008
Persistent link: https://www.econbiz.de/10003720391
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The Weak Instruments Problem in Factor Models
Hayakawa, Kazuhiko - 2017
This study considers the instrumental variable estimation of factor models. Specifically, we investigate the weak instruments problem, which is not well investigated in the literature, in detail. We show that the signal-to-noise ratios, which are defined by the variance ratios of the common...
Persistent link: https://www.econbiz.de/10012956817