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Using nonparametric, production-frontier methods, we decompose labor productivity growth into components attributable to technological change (shifts in the world production frontier), technological catch-up (movements toward or away from the frontier), and physical and human capital...
Persistent link: https://www.econbiz.de/10014061884
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar andWilson (2008). We assess the finite sample performance...
Persistent link: https://www.econbiz.de/10015228551
In this paper we used the procedures developed in the Kumar and Russell (2002) growth-accounting study to examine cross-country growth during the 1990's. Using a data set comprising developed, newly industrialized, developing and transitional economies, we decomposed the growth of output per...
Persistent link: https://www.econbiz.de/10010264980
Symmetric noise is the prevailing assumption in production analysis, but it is often violated in practice. Not only does asymmetric noise cause least-squares models to be inefficient, it can hide important features of the data which may be useful to the firm/policymaker. Here we outline how to...
Persistent link: https://www.econbiz.de/10015261291
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...
Persistent link: https://www.econbiz.de/10010280699
In this paper we used the procedures developed in the Kumar and Russell (2002) growth-accounting study to examine cross-country growth during the 1990's. Using a data set comprising developed, newly industrialized, developing and transitional economies, we decomposed the growth of output per...
Persistent link: https://www.econbiz.de/10005069101
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...
Persistent link: https://www.econbiz.de/10009323097