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  1. No Access

    Article

    Estimation of the production profile and metafrontier technology gap: a quantile approach

    In this paper, a quantile function is suggested as an alternative description of a production technology. Since the quantile function may not share the same functional properties as the frontier function, it i...

    Hung-pin Lai, Cliff J. Huang, Tsu-Tan Fu in Empirical Economics (2020)

  2. No Access

    Article

    Semiparametric smooth coefficient quantile estimation of the production profile

    In this paper, quantile regression models are suggested as an alternative description of a production technology. The quantile of continuous order defines the production profile and the quantile-based individu...

    Cliff J. Huang, Tsu-Tan Fu, Hung-Pin Lai, Yung-Lieh Yang in Empirical Economics (2017)

  3. No Access

    Article

    A new approach to estimating the metafrontier production function based on a stochastic frontier framework

    This paper proposes a new two-step stochastic frontier approach to estimate technical efficiency (TE) scores for firms in different groups adopting distinct technologies. Analogous to Battese et al. (J Prod An...

    Cliff J. Huang, Tai-Hsin Huang, Nan-Hung Liu in Journal of Productivity Analysis (2014)

  4. Article

    Guest editors’ introduction

    Tsu-Tan Fu, Cliff J. Huang, C. A. Knox Lovell in Journal of Productivity Analysis (2014)

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  5. No Access

    Article

    Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions

    In this paper, we propose the copula-based maximum likelihood (ML) approach to estimate the multiple stochastic frontier (SF) models with correlated composite errors. The motivation behind the extension to sys...

    Hung-pin Lai, Cliff J. Huang in Journal of Productivity Analysis (2013)

  6. No Access

    Article

    A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models

    This paper derives an analytic closed-form formula for the cumulative distribution function (cdf) of the composite error of the stochastic frontier analysis (SFA) model. Since the presence of a cdf is frequent...

    Wen-Jen Tsay, Cliff J. Huang, Tsu-Tan Fu, I.-Lin Ho in Journal of Productivity Analysis (2013)

  7. No Access

    Article

    Estimation of stochastic frontier models based on multimodel inference

    In most empirical studies, once the best model has been selected according to a certain criterion, subsequent analysis is conducted conditionally on the chosen model. In other words, the uncertainty of model s...

    Cliff J. Huang, Hung-pin Lai in Journal of Productivity Analysis (2012)

  8. No Access

    Article

    Likelihood ratio tests for model selection of stochastic frontier models

    An important issue when conducting stochastic frontier analysis is how to choose a proper parametric model, which includes choices of the functional form of the frontier function, distributions of the composit...

    Hung-pin Lai, Cliff J. Huang in Journal of Productivity Analysis (2010)

  9. No Access

    Article

    Cultivation Arrangements and the Cost Efficiency of Rice Farming in Taiwan

    In this paper, a switching regression model is developed to analyze farmers' choice behavior and cost efficiency in field plowing arrangement in Taiwan. We find that the decision on the choice of plowing arran...

    Mei-Ying Huang, Cliff J. Huang, Tsu-Tan Fu in Journal of Productivity Analysis (2002)

  10. No Access

    Article

    An Average Derivative Estimation of Stochastic Frontiers

    This paper utilizes the average derivative estimation of Stoker (1986) and the pesudo-likelihood estimation of Fan, Li, and Weersink (1996) to estimate a semiparametric stochastic frontier regression, y = g(x)...

    Cliff J. Huang, Tsu-Tan Fu in Journal of Productivity Analysis (1999)