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題名 Testing the impacts on inefficiency in a semiparametric stochastic frontier model
作者 廖仁哲
Liao, Jen-Che;Song, Xiaojun;Wang, Hung-Jen
貢獻者 經濟系
關鍵詞 Inefficiency effects; multiplier bootstrap; semiparametric partially linear models; significance tests; stochastic frontier analysis
日期 2025-09
上傳時間 9-Oct-2025 11:40:22 (UTC+8)
摘要 This article is concerned with the significance testing of the effects of exogenous determinants upon the one-sided deviation term of a semiparametric stochastic frontier model. Two significance tests for all or a subset of the determinants of inefficiency are proposed. The tests are based on conditional moment restrictions and stochastic processes, with critical values simulated using the computationally fast multiplier bootstrap procedures. Our testing methodology addresses the omitted variable bias that arises naturally in stochastic frontier models when accommodating the determinants of inefficiency and accounts for the estimation effects that appear when using the estimated composite error in constructing the test statistics. We investigate the theoretical properties of the proposed tests and justify the validity of the multiplier bootstrap procedures. The tests are finally illustrated through simulation experiments and two empirical examples. In particular, the analysis from Taiwanese manufacturing supports the financing constraint hypothesis through the significant effect of cash flow, while the analysis from Indian rice production highlights the importance of schooling and farming experience in reducing farm inefficiency.
關聯 Econometric Reviews, pp.1-27
資料類型 article
DOI https://doi.org/10.1080/07474938.2025.2560639
dc.contributor 經濟系
dc.creator (作者) 廖仁哲
dc.creator (作者) Liao, Jen-Che;Song, Xiaojun;Wang, Hung-Jen
dc.date (日期) 2025-09
dc.date.accessioned 9-Oct-2025 11:40:22 (UTC+8)-
dc.date.available 9-Oct-2025 11:40:22 (UTC+8)-
dc.date.issued (上傳時間) 9-Oct-2025 11:40:22 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/159850-
dc.description.abstract (摘要) This article is concerned with the significance testing of the effects of exogenous determinants upon the one-sided deviation term of a semiparametric stochastic frontier model. Two significance tests for all or a subset of the determinants of inefficiency are proposed. The tests are based on conditional moment restrictions and stochastic processes, with critical values simulated using the computationally fast multiplier bootstrap procedures. Our testing methodology addresses the omitted variable bias that arises naturally in stochastic frontier models when accommodating the determinants of inefficiency and accounts for the estimation effects that appear when using the estimated composite error in constructing the test statistics. We investigate the theoretical properties of the proposed tests and justify the validity of the multiplier bootstrap procedures. The tests are finally illustrated through simulation experiments and two empirical examples. In particular, the analysis from Taiwanese manufacturing supports the financing constraint hypothesis through the significant effect of cash flow, while the analysis from Indian rice production highlights the importance of schooling and farming experience in reducing farm inefficiency.
dc.format.extent 109 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Econometric Reviews, pp.1-27
dc.subject (關鍵詞) Inefficiency effects; multiplier bootstrap; semiparametric partially linear models; significance tests; stochastic frontier analysis
dc.title (題名) Testing the impacts on inefficiency in a semiparametric stochastic frontier model
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/07474938.2025.2560639
dc.doi.uri (DOI) https://doi.org/10.1080/07474938.2025.2560639