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Relevant bibliographies by topics / Stochastic frontier analysi

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Journal articles

Academic literature on the topic 'Stochastic frontier analysi'

Author: Grafiati

Published: 21 February 2023

Last updated: 14 March 2023

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Journal articles on the topic "Stochastic frontier analysi"

1

Sakong, Jin, and Jeongkyu Kim. "An Analysis on the Determinants of Efficiency of the Pharmaceutical Firms using Stochastic Frontier Analysis." Health Policy and Management 25, no. 2 (2015): 97–106. http://dx.doi.org/10.4332/kjhpa.2015.25.2.97.

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2

Tsionas, Mike G. "Bounded rationality and thick frontiers in stochastic frontier analysis." European Journal of Operational Research 284, no. 2 (2020): 762–68. http://dx.doi.org/10.1016/j.ejor.2019.12.010.

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3

Sadalia, Isfenti, Muhammad Haikal Kautsar, Nisrul Irawati, and Iskandar Muda. "Analysis of the efficiency performance of Sharia and conventional banks using stochastic frontier analysis." Banks and Bank Systems 13, no. 2 (2018): 27–38. http://dx.doi.org/10.21511/bbs.13(2).2018.03.

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There are two sectors of banks operating in Indonesia, namely Sharia banks and conventional banks. Improving performance is important in maintaining public confidence in the bank. Efficiency is one of the parameters to measure the performance of Sharia banks. This study measures the comparative level of technical efficiency of Sharia commercial banks and conventional banks by Stochastic Frontier Analysis method during 2011–2015 period by using 10 samples of Sharia commercial banks and conventional banks. Input variables in this study are total deposits, operational costs, and other operational

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4

Chaovanapoonphol, Yaovarate, Jittima Singvejsakul, and Songsak Sriboonchitta. "Technical Efficiency of Rice Production in the Upper North of Thailand: Clustering Copula-Based Stochastic Frontier Analysis." Agriculture 12, no. 10 (2022): 1585. http://dx.doi.org/10.3390/agriculture12101585.

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This study examines the efficiency of rice production in Thailand, especially major rice, which is the main crop of farmers in all regions of Thailand and is still a pressing issue. Analyzing technical efficiency by using the appropriate analytical tools inevitably brings about determining the correct production efficiency measures. In this study, we applied the k-means algorithm and copula-based stochastic frontier model to cluster farmer groups in order to find the different factors that impact the group, and to relax the assumption of the two components of random error, which is that they a

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5

Schmidt, Peter. "Stochastic Frontier Analysis." Economic Journal 112, no. 477 (2002): F156—F158. http://dx.doi.org/10.1111/1468-0297.0688l.

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6

Dellnitz, Andreas, and Andreas Kleine. "Multiple input-output frontier analysis – From generalized deterministic to stochastic frontiers." Computers & Industrial Engineering 135 (September 2019): 28–38. http://dx.doi.org/10.1016/j.cie.2019.05.028.

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7

Ferruz Agudo, Luis, João Serafim Tusi da Silveira, Daniel Knebel Baggio, Isoé Nícolas Schneider, and Maria Margarete Baccin Brizolla. "Stochastic frontiers of efficiency for Brazilian investment funds: a panel data analysis." Investment Management and Financial Innovations 16, no. 4 (2019): 352–65. http://dx.doi.org/10.21511/imfi.16(4).2019.30.

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Foundations, methodological and empirical possibilities of measurement and analysis in the performance of financial investments within investment funds have been developed since they were once introduced in the 1970s, thus establishing a path of growing acceptance in financial markets and universities’ academies. The first approaches over the efficiency of these funds, considering their stochastic implications, occurred in the late 1990s and have evolved with the help of SFA – Stochastic Frontier Analysis, although it still needs more careful verification. This article measured and analyzed th

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8

Lechtenberg, Christian. "Stochastic Frontier Analysis (SFA)." Controlling 23, no. 12 (2011): 682–83. http://dx.doi.org/10.15358/0935-0381-2011-12-682.

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9

Acquah, Henry de-Graft. "Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches." Applied Studies in Agribusiness and Commerce 8, no. 1 (2014): 67–72. http://dx.doi.org/10.19041/apstract/2014/1/8.

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This paper highlights the sensitivity of technical efficiency estimates to estimation approaches using empirical data. Firm specific technical efficiency and mean technical efficiency are estimated using the non parametric Data Envelope Analysis (DEA) and the parametric Corrected Ordinary Least Squares (COLS) and Stochastic Frontier Analysis (SFA) approaches. Mean technical efficiency is found to be sensitive to the choice of estimation technique. Analysis of variance and Tukey’s test suggests significant differences in means between efficiency scores from different methods. In general the DEA

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10

Din, Musleh-Ud, Ejaz Ghani, and Tariq Mahmood. "Technical Efficiency of Pakistan’s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis." Pakistan Development Review 46, no. 1 (2007): 1–18. http://dx.doi.org/10.30541/v46i1pp.1-18.

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This paper examines the efficiency of the large-scale manufacturing sector of Pakistan using parametric as well as non-parametric frontier techniques. Production frontiers are estimated for two periods─1995-96 and 2000-01─for 101 industries at the 5-digit PSIC. The results show that there has been some improvement in the efficiency of the large-scale manufacturing sector, though the magnitude of improvement remains small. The results are mixed at the disaggregated level: whereas a majority of industrial groups have gained in terms of technical efficiency, some industries have shown deteriorati

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