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Determinants of economic growth in Ghana : parametric and nonparametric investigations
Adu, George - In: The journal of developing areas 47 (2013) 2, pp. 277-301
Persistent link: https://www.econbiz.de/10010230642
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Combining the virtues of stochastic frontier and data envelopment analysis
Parmeter, Christopher F.; Zelenyuk, Valentin - In: Operations research 67 (2019) 6, pp. 1628-1658
Persistent link: https://www.econbiz.de/10012146920
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Improved density and distribution function estimation
Oryshchenko, Vitaliy; Smith, Richard J. - 2018 - This draft: July 2018
Given additional distributional information in the form of moment restrictions, kernel density and distribution function estimators with implied generalised empirical likelihood probabilities as weights achieve a reduction in variance due to the systematic use of this extra information. The...
Persistent link: https://www.econbiz.de/10011878199
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On the identification of structural linear functionals
Escanciano, Juan Carlos; Li, Wei - 2013
This paper asks which aspects of a structural Nonparametric Instrumental Variables Regression (NPIVR) can be identified …
Persistent link: https://www.econbiz.de/10010188249
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Identification and estimation of preference distributions when voters are ideological
Merlo, Antoine; Paula, Áureo de - 2013
This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological …
Persistent link: https://www.econbiz.de/10010189045
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Additive kernel estimates of returns to schooling
Ozabaci, Deniz; Henderson, Daniel J. - 2014
In this paper, we employ a partially linear nonparametric additive regression estimator, with recent U.S. Current …
Persistent link: https://www.econbiz.de/10010462852
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Estimation of stochastic volatility models by nonparametric filtering
Kanaya, Shin; Kristensen, Dennis - 2015
estimation strategy is applicable to both parametric and nonparametric stochastic volatility models, and can handle both jumps …
Persistent link: https://www.econbiz.de/10010487528
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Plug-in bandwidth selection for kernel density estimation with discrete data
Chu, Chi-yang; Henderson, Daniel J.; Parmeter, … - In: Econometrics : open access journal 3 (2015) 2, pp. 199-214
This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of …
Persistent link: https://www.econbiz.de/10011296735
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Kernel-smoothed conditional quantiles of correlated bivariate discrete data
Gooijer, Jan G. de; Yuan, Ao - 2011
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the …
Persistent link: https://www.econbiz.de/10011382707
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Identification and estimation of preference distributions when voters are ideological
Merlo, Antonio; Paula, Áureo de - 2015 - This version: September, 2015
This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological …
Persistent link: https://www.econbiz.de/10011317976