离开浮于空中 发表于 2025-3-21 16:21:21
书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0320367<br><br> <br><br>书目名称Exploring Research Frontiers in Contemporary Statistics and Econometrics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0320367<br><br> <br><br>EWE 发表于 2025-3-21 22:05:18
Production Efficiency versus Ownership: The Case of China,stries and across different regions (coastal, central and western). We do so by performing a bootstrap-based analysis of group efficiencies (weighted and non-weighted), estimating and comparing densities of efficiency distributions, and conducting a bootstrapped truncated regression analysis. We finFibrillation 发表于 2025-3-22 00:40:36
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Estimating Frontier Cost Models Using Extremiles, models that relate closely to models for extreme non-standard conditional quantiles (Aragon et al. Econ Theor 21:358–389, 2005) and expected minimum input functions (Cazals et al. J Econometrics 106:1–25, 2002). In this paper, we introduce a class of extremile-based cost frontiers which includes th主讲人 发表于 2025-3-22 10:23:28
Panel Data, Factor Models, and the Solow Residual,l production literature and in the complementary literature on productive efficiency. We point out why panel data are needed to measure productive efficiency and innovation and thus link the two strands of literatures. We provide a discussion on the various estimators used in the two literatures, foMagnificent 发表于 2025-3-22 14:06:47
Asymptotic Properties of Some Non-Parametric Hyperbolic Efficiency Estimators,on, 1985) wherein efficiency is measured by the simultaneous maximum, feasible reduction in input quantities and increase in output quantities. In cases where returns to scale are not constant, the non-parametric data envelopment analysis (DEA) estimator of hyperbolic efficiency cannot be written asMagnificent 发表于 2025-3-22 20:55:50
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The Skewness Issue in Stochastic Frontiers Models: Fact or Fiction?,usen and van den Broeck (Int. Econ. Rev. 18:435–444, 1997), and Battese and Cora (Aust. J. Agr. Econ. 21:169–179, 1977), researchers have often found that the residuals estimated from these models displayed skewness in the wrong direction. In such cases applied researchers were faced with two main a