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Hung-pin Lai

Personal Details

First Name:Hung-pin
Middle Name:
Last Name:Lai
Suffix:
RePEc Short-ID:pla593
[This author has chosen not to make the email address public]
https://sites.google.com/alum.ccu.edu.tw/hungpin
Depertment of Economics National Chung Cheng University 168 University Rd. Ming-Hsiung Chia-Yi, Taiwan 62101
886-5-2720411 ext 34
Terminal Degree:2003 Department of Economics; Pennsylvania State University (from RePEc Genealogy)

Affiliation

Department of Economics & Institute of International Economics
National Chung Cheng University

Chiayi, Taiwan
http://www.ccunix.ccu.edu.tw/~economic/
RePEc:edi:deccutw (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Estimation of Dynamic Stochastic Frontier Model using Likelihood-based Approaches," MPRA Paper 87830, University Library of Munich, Germany.
  2. Hung-pin Lai & Wen-Jen Tsay, 2012. "Maximum Likelihood Estimation of the Panel Sample Selection Model," IEAS Working Paper : academic research 12-A006, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Oct 2012.

Articles

  1. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
  2. Lai Hung-pin & Subal C. Kumbhakar, 2022. "Panel Stochastic Frontier Model With Endogenous Inputs and Correlated Random Components," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 80-96, December.
  3. Hung-pin Lai & Kien C. Tran, 2022. "Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 58(1), pages 1-13, August.
  4. Kumbhakar, Subal C. & Lai, Hung-pin, 2021. "A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency," Economics Letters, Elsevier, vol. 201(C).
  5. Lai, Hung-pin & Kumbhakar, Subal C., 2021. "A panel frontier system model with good and bad outputs and endogenous treatment decision," Economics Letters, Elsevier, vol. 198(C).
  6. Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
  7. Ruohao Zhang & Subal C. Kumbhakar & Hung-pin Lai, 2020. "Estimation of panel model with heteroskedasticity in both idiosyncratic and individual specific errors," Econometric Reviews, Taylor & Francis Journals, vol. 40(4), pages 415-432, August.
  8. Hung‐pin Lai & Subal C. Kumbhakar, 2020. "Estimation of a dynamic stochastic frontier model using likelihood‐based approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 217-247, March.
  9. Hung-pin Lai & Cliff J. Huang & Tsu-Tan Fu, 2020. "Estimation of the production profile and metafrontier technology gap: a quantile approach," Empirical Economics, Springer, vol. 58(6), pages 2709-2731, June.
  10. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
  11. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency," Economics Letters, Elsevier, vol. 162(C), pages 5-9.
  12. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Panel data stochastic frontier model with determinants of persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 271(2), pages 746-755.
  13. Chen, Kong-Pin & Lai, Hung-pin & Yu, Ya-Ting, 2018. "The seller's listing strategy in online auctions: Evidence from eBay," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 107-144.
  14. Hung-pin Lai & Meng-Chi Tang, 2018. "Hospital efficiency under global budgeting: evidence from Taiwan," Empirical Economics, Springer, vol. 55(3), pages 937-963, November.
  15. Hung-Pin Lai & Wen-Jen Tsay, 2018. "Maximum simulated likelihood estimation of the panel sample selection model," Econometric Reviews, Taylor & Francis Journals, vol. 37(7), pages 744-759, August.
  16. Cliff J. Huang & Tsu-Tan Fu & Hung-Pin Lai & Yung-Lieh Yang, 2017. "Semiparametric smooth coefficient quantile estimation of the production profile," Empirical Economics, Springer, vol. 52(1), pages 373-392, February.
  17. Huang, Cliff J. & Lai, Hung-pin, 2017. "A note on the likelihood ratio test on the equality of group frontiers," Economics Letters, Elsevier, vol. 155(C), pages 5-8.
  18. Kumbhakar, Subal C. & Lai, Hung-pin, 2016. "Maximum likelihood estimation of the revenue function system with output-specific technical efficiency," Economics Letters, Elsevier, vol. 138(C), pages 42-45.
  19. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.
  20. Kong-Pin Chen & Hung-pin Lai & Ya-Ting Yu, 2014. "Do consumers discount parallel imports?," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(1), pages 58-77, March.
  21. Hung-pin Lai & Cliff Huang, 2013. "Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions," Journal of Productivity Analysis, Springer, vol. 40(1), pages 1-14, August.
  22. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
  23. Cliff Huang & Hung-pin Lai, 2012. "Estimation of stochastic frontier models based on multimodel inference," Journal of Productivity Analysis, Springer, vol. 38(3), pages 273-284, December.
  24. Lee, Hsiu-Yun & Lai, Hung-Pin, 2011. "A structural threshold model of the exchange rate under optimal intervention," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 931-946, October.
  25. Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.
  26. Lai, Hung-pin, 2008. "Maximum likelihood estimation of singular systems of equations," Economics Letters, Elsevier, vol. 99(1), pages 51-54, April.

Chapters

  1. Hung-pin Lai, 2024. "Indirect Inference of Stochastic Frontier Models," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 415-438, Emerald Group Publishing Limited.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Estimation of Dynamic Stochastic Frontier Model using Likelihood-based Approaches," MPRA Paper 87830, University Library of Munich, Germany.

    Cited by:

    1. Tsionas, Mike G. & Kumbhakar, Subal C., 2021. "Stochastic frontier models with time-varying conditional variances," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1115-1132.
    2. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    3. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    4. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    5. Md Harun Or Rosid & Zhao Xuefeng & Sk Alamgir Hossain & Mohammad Raihanul Hasan & Md Reza Sultanuzzaman, 2021. "The Impact of GDP on Cross-Country Efficiency in Wealth Maximization: a Joint Analysis Through the Stochastic Frontier and Generalized Method of Moments," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(1), pages 1-6.

  2. Hung-pin Lai & Wen-Jen Tsay, 2012. "Maximum Likelihood Estimation of the Panel Sample Selection Model," IEAS Working Paper : academic research 12-A006, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Oct 2012.

    Cited by:

    1. Majid M. Al-Sadoon & Sergi Jiménez-Martín & José M Labeaga, 2019. "Simple Methods for Consistent Estimation of Dynamic Panel Data Sample Selection Models," Working Papers 1069, Barcelona School of Economics.

Articles

  1. Hung-pin Lai & Kien C. Tran, 2022. "Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 58(1), pages 1-13, August.

    Cited by:

    1. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    2. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.

  2. Hung‐pin Lai & Subal C. Kumbhakar, 2020. "Estimation of a dynamic stochastic frontier model using likelihood‐based approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 217-247, March.
    See citations under working paper version above.
  3. Hung-pin Lai & Cliff J. Huang & Tsu-Tan Fu, 2020. "Estimation of the production profile and metafrontier technology gap: a quantile approach," Empirical Economics, Springer, vol. 58(6), pages 2709-2731, June.

    Cited by:

    1. Mohammed, Sadick & Abdulai, Awudu, 2021. "Extension Participation and Improved Technology Adoption: Impact on Efficiency and Welfare of Farmers in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315362, International Association of Agricultural Economists.
    2. Radovanović, Sandro & Savić, Gordana & Delibašić, Boris & Suknović, Milija, 2022. "FairDEA—Removing disparate impact from efficiency scores," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1088-1098.

  4. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.

    Cited by:

    1. Kumbhakar, Subal C. & Peresetsky, Anatoly & Shchetynin, Yevgenii & Zaytsev, Alexey, 2020. "Technical efficiency and inefficiency: Reassurance of standard SFA models and a misspecification problem," MPRA Paper 102797, University Library of Munich, Germany.
    2. Tsionas, Mike G. & Kumbhakar, Subal C., 2021. "Stochastic frontier models with time-varying conditional variances," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1115-1132.
    3. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    4. Paul, Satya & Shankar, Sriram, 2022. "Regulatory reforms and the efficiency and productivity growth in electricity generation in OECD countries," Energy Economics, Elsevier, vol. 108(C).
    5. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    6. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    7. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    8. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    9. Subal C. Kumbhakar & Mike G. Tsionas, 2021. "Estimation of costs of technical and allocative inefficiency," Journal of Productivity Analysis, Springer, vol. 55(1), pages 41-46, February.
    10. Hongjun Sun & Zuoxiang Zhao & Ding Han, 2024. "Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones," Sustainability, MDPI, vol. 16(8), pages 1-19, April.

  5. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency," Economics Letters, Elsevier, vol. 162(C), pages 5-9.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    3. KOUAKOU, Dorgyles C.M. & YEO, Kolotioloma I.H., 2023. "Can innovation reduce the size of the informal economy? Econometric evidence from 138 countries," MPRA Paper 119264, University Library of Munich, Germany.
    4. Kumbhakar, Subal C. & Badunenko, Oleg & Willox, Michael, 2022. "Do carbon taxes affect economic and environmental efficiency? The case of British Columbia’s manufacturing plants," MPRA Paper 118907, University Library of Munich, Germany.
    5. Mike Tsionas & Mikael A. Martins & Almas Heshmati, 2023. "Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden," Operational Research, Springer, vol. 23(3), pages 1-28, September.
    6. Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
    7. Tsionas, Mike G. & Kumbhakar, Subal C., 2021. "Stochastic frontier models with time-varying conditional variances," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1115-1132.
    8. Danelon, André F. & Spolador, Humberto F.S. & Kumbhakar, Subal C., 2021. "Weather and population size effects on water and sewer treatment costs: Evidence from Brazil," Journal of Development Economics, Elsevier, vol. 153(C).
    9. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    10. Lai, Hung-pin & Kumbhakar, Subal C., 2021. "A panel frontier system model with good and bad outputs and endogenous treatment decision," Economics Letters, Elsevier, vol. 198(C).
    11. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    12. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    13. Ángel L. Martín‐Román & Jaime Cuéllar‐Martín & Alfonso Moral, 2023. "Natural and cyclical unemployment: A stochastic frontier decomposition and economic policy implications," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 5-39, January.
    14. Subal C. Kumbhakar & Norman V. Loayza & Vivian Norambuena, 2020. "International Benchmarking for Country Economic Diagnostics," Working Papers wp498, University of Chile, Department of Economics.
    15. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    16. Xiao-Yan Liu & Li-Qiu Liu & Bai-Chen Xie & Michael G. Pollitt, 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Working Papers EPRG 1820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    17. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    18. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    19. Kumbhakar,Subal C. & Loayza,Norman V. & Norambuena,Vivian, 2020. "International Benchmarking for Country Economic Diagnostics : A Stochastic Frontier Approach," Policy Research Working Paper Series 9304, The World Bank.
    20. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    21. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    22. V. K. Chetty & James J. Heckman, 2023. "Internal adjustment costs of firm-specific factors and the neoclassical theory of the firm," Empirical Economics, Springer, vol. 64(6), pages 2703-2719, June.
    23. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    24. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    25. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    26. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    27. Maristela M. Martins & Humberto F. S. Spolador & Eric Njuki, 2022. "Production environment and managerial techniques in explaining productivity growth in Brazilian beef cattle production," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 371-385, April.
    28. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    29. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    30. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    31. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    32. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    33. Lamees Al-Durgham & Mohammad Adeinat, 2020. "Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 5-9.
    34. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    35. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    36. Kumbhakar, Subal C. & Lai, Hung-pin, 2021. "A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency," Economics Letters, Elsevier, vol. 201(C).
    37. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
    38. Merihun Fikru Meja & Bamlaku Alamirew Alemu & Maru Shete, 2021. "Total Factor Productivity of Major Crops in Southern Ethiopia: A Dis-Aggregated Analysis of the Growth Components," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    39. Garcia, Luis & Laepple, Doris & Dillon, Emma & Thorne, Fiona, 2020. "The role of hired labor in transient and persistent technical efficiency on Irish dairy farms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304395, Agricultural and Applied Economics Association.
    40. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.
    41. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).

  6. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Panel data stochastic frontier model with determinants of persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 271(2), pages 746-755.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    3. Kumbhakar, Subal C. & Badunenko, Oleg & Willox, Michael, 2022. "Do carbon taxes affect economic and environmental efficiency? The case of British Columbia’s manufacturing plants," MPRA Paper 118907, University Library of Munich, Germany.
    4. Mike Tsionas & Mikael A. Martins & Almas Heshmati, 2023. "Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden," Operational Research, Springer, vol. 23(3), pages 1-28, September.
    5. Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
    6. Tsionas, Mike G. & Kumbhakar, Subal C., 2021. "Stochastic frontier models with time-varying conditional variances," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1115-1132.
    7. Danelon, André F. & Spolador, Humberto F.S. & Kumbhakar, Subal C., 2021. "Weather and population size effects on water and sewer treatment costs: Evidence from Brazil," Journal of Development Economics, Elsevier, vol. 153(C).
    8. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    9. Lai, Hung-pin & Kumbhakar, Subal C., 2021. "A panel frontier system model with good and bad outputs and endogenous treatment decision," Economics Letters, Elsevier, vol. 198(C).
    10. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    11. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    12. Ángel L. Martín‐Román & Jaime Cuéllar‐Martín & Alfonso Moral, 2023. "Natural and cyclical unemployment: A stochastic frontier decomposition and economic policy implications," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 5-39, January.
    13. Subal C. Kumbhakar & Norman V. Loayza & Vivian Norambuena, 2020. "International Benchmarking for Country Economic Diagnostics," Working Papers wp498, University of Chile, Department of Economics.
    14. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    15. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    16. Kumbhakar,Subal C. & Loayza,Norman V. & Norambuena,Vivian, 2020. "International Benchmarking for Country Economic Diagnostics : A Stochastic Frontier Approach," Policy Research Working Paper Series 9304, The World Bank.
    17. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    18. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    19. V. K. Chetty & James J. Heckman, 2023. "Internal adjustment costs of firm-specific factors and the neoclassical theory of the firm," Empirical Economics, Springer, vol. 64(6), pages 2703-2719, June.
    20. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    21. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    22. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    23. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    24. Maristela M. Martins & Humberto F. S. Spolador & Eric Njuki, 2022. "Production environment and managerial techniques in explaining productivity growth in Brazilian beef cattle production," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 371-385, April.
    25. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    26. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    27. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    28. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    29. Lamees Al-Durgham & Mohammad Adeinat, 2020. "Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 5-9.
    30. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    31. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    32. Kumbhakar, Subal C. & Lai, Hung-pin, 2021. "A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency," Economics Letters, Elsevier, vol. 201(C).
    33. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
    34. Merihun Fikru Meja & Bamlaku Alamirew Alemu & Maru Shete, 2021. "Total Factor Productivity of Major Crops in Southern Ethiopia: A Dis-Aggregated Analysis of the Growth Components," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    35. Garcia, Luis & Laepple, Doris & Dillon, Emma & Thorne, Fiona, 2020. "The role of hired labor in transient and persistent technical efficiency on Irish dairy farms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304395, Agricultural and Applied Economics Association.
    36. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.
    37. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).

  7. Chen, Kong-Pin & Lai, Hung-pin & Yu, Ya-Ting, 2018. "The seller's listing strategy in online auctions: Evidence from eBay," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 107-144.

    Cited by:

    1. Alexander Maslov, 2023. "Auctions versus posted prices in the revenue management of limited inventory," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1476-1490, April.

  8. Hung-pin Lai & Meng-Chi Tang, 2018. "Hospital efficiency under global budgeting: evidence from Taiwan," Empirical Economics, Springer, vol. 55(3), pages 937-963, November.

    Cited by:

    1. Li Xiang & Zhengdong Zhong & Junnan Jiang, 2022. "The Response of Different-Levels Public Hospitals to Regional Global Budget with a Floating Payment System: Evidence from China," IJERPH, MDPI, vol. 19(23), pages 1-11, November.
    2. Meng-Chi Tang & Yi-Nong Wu, 2020. "Medical providers as double agents in a universal health care system: evidence from generic pharmaceutical adoption in Taiwan," Empirical Economics, Springer, vol. 59(1), pages 169-203, July.
    3. Lin, Lee-Kai, 2022. "Effects of a global budget payment scheme on medical specialty workforces," Social Science & Medicine, Elsevier, vol. 309(C).

  9. Hung-Pin Lai & Wen-Jen Tsay, 2018. "Maximum simulated likelihood estimation of the panel sample selection model," Econometric Reviews, Taylor & Francis Journals, vol. 37(7), pages 744-759, August.

    Cited by:

    1. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.

  10. Cliff J. Huang & Tsu-Tan Fu & Hung-Pin Lai & Yung-Lieh Yang, 2017. "Semiparametric smooth coefficient quantile estimation of the production profile," Empirical Economics, Springer, vol. 52(1), pages 373-392, February.

    Cited by:

    1. Mohammed, Sadick & Abdulai, Awudu, 2021. "Extension Participation and Improved Technology Adoption: Impact on Efficiency and Welfare of Farmers in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315362, International Association of Agricultural Economists.
    2. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    3. Hung-pin Lai & Cliff J. Huang & Tsu-Tan Fu, 2020. "Estimation of the production profile and metafrontier technology gap: a quantile approach," Empirical Economics, Springer, vol. 58(6), pages 2709-2731, June.
    4. Chung-Chu Chuang & Chung-Min Tsai & Hsiao-Chen Chang & Yi-Hsien Wang, 2021. "Applying Quantile Regression to Assess the Relationship between R&D, Technology Import and Patent Performance in Taiwan," JRFM, MDPI, vol. 14(8), pages 1-14, August.

  11. Huang, Cliff J. & Lai, Hung-pin, 2017. "A note on the likelihood ratio test on the equality of group frontiers," Economics Letters, Elsevier, vol. 155(C), pages 5-8.

    Cited by:

    1. Ma, Wanglin & Renwick, Alan & Bicknell, Kathryn, 2018. "Feed Use Intensification and Technical Efficiency of Dairy Farms in New Zealand," 2018 Annual Meeting, August 5-7, Washington, D.C. 274394, Agricultural and Applied Economics Association.
    2. Shalander Kumar & Abhishek Das & Michael Hauser & Geoffrey Muricho & Tulu Degefu & Asnake Fikre & Chris Ojiewo & Setotaw Ferede & Rajeev K. Varshney, 2022. "Estimating the potential to close yield gaps through increased efficiency of chickpea production in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1241-1258, October.
    3. Mahjus Ekananda, 2022. "The Nonlinear Impact of Payment System Innovation on Financial System Stability in the ASEAN-4 Countries," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 68, pages 114-131, Desember.

  12. Kumbhakar, Subal C. & Lai, Hung-pin, 2016. "Maximum likelihood estimation of the revenue function system with output-specific technical efficiency," Economics Letters, Elsevier, vol. 138(C), pages 42-45.

    Cited by:

    1. Reinaldo B. Arellano-Valle & Adelchi Azzalini, 2022. "Some properties of the unified skew-normal distribution," Statistical Papers, Springer, vol. 63(2), pages 461-487, April.
    2. Tsionas, Mike G., 2017. "The profit function system with output- and input-specific technical efficiency," Economics Letters, Elsevier, vol. 151(C), pages 111-114.
    3. Badunenko, Oleg & Kumbhakar, Subal C., 2017. "Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?," European Journal of Operational Research, Elsevier, vol. 260(2), pages 789-803.
    4. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    5. Yu, Yang & Fan, Linlin, 2021. "How Does Supplemental Nutrition Assistance Program Affect Household Food Waste?," 2021 Annual Meeting, August 1-3, Austin, Texas 313984, Agricultural and Applied Economics Association.

  13. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.

    Cited by:

    1. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France [Modélisation de technologies hétérogènes e," Post-Print hal-03516608, HAL.
    2. German Blanco, 2017. "Who benefits from job placement services? A two-sided analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 33-47, February.
    3. Bazen, Stephen & Waziri, Khalid Maman, 2017. "The Assimilation of Young Workers into the Labour Market in France: A Stochastic Earnings Frontier Approach," IZA Discussion Papers 10841, Institute of Labor Economics (IZA).
    4. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    5. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Khalid Maman Waziri, 2017. "Generalized Glass Ceilings in the United States – A Stochastic Metafrontier Approach," Working Papers halshs-01569834, HAL.
    7. Won-Sik Hwang & Ho-Sung Kim, 2022. "Does the adoption of emerging technologies improve technical efficiency? Evidence from Korean manufacturing SMEs," Small Business Economics, Springer, vol. 59(2), pages 627-643, August.

  14. Kong-Pin Chen & Hung-pin Lai & Ya-Ting Yu, 2014. "Do consumers discount parallel imports?," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(1), pages 58-77, March.

    Cited by:

    1. ISHIKAWA Jota & MORITA Hodaka & MUKUNOKI Hiroshi, 2015. "Parallel Imports and Repair Services," Discussion papers 15060, Research Institute of Economy, Trade and Industry (RIETI).

  15. Hung-pin Lai & Cliff Huang, 2013. "Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions," Journal of Productivity Analysis, Springer, vol. 40(1), pages 1-14, August.

    Cited by:

    1. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2019. "Evaluating the CDF of the distribution of the stochastic frontier composed error," Journal of Productivity Analysis, Springer, vol. 52(1), pages 29-35, December.
    2. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    3. Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
    4. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
    5. Orea, Luis & Álvarez, Inmaculada C. & Wall, Alan, 2021. "Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain," Efficiency Series Papers 2021/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    7. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    8. Jianxu Liu & Mengjiao Wang & Ji Ma & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "A Simultaneous Stochastic Frontier Model with Dependent Error Components and Dependent Composite Errors: An Application to Chinese Banking Industry," Mathematics, MDPI, vol. 8(2), pages 1-23, February.
    9. Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
    10. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
    11. Kexin Li & Jianxu Liu & Yuting Xue & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
    12. Tai-Hsin Huang & Nan-Hung Liu & Subal C. Kumbhakar, 2018. "Joint estimation of the Lerner index and cost efficiency using copula methods," Empirical Economics, Springer, vol. 54(2), pages 799-822, March.
    13. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.
    14. Huang, Tai-Hsin & Lin, Chung-I & Wu, Ruei-Cian, 2019. "Assessing the marketing and investment efficiency of Taiwan’s life insurance firms under network structures," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 132-147.
    15. Hung-pin Lai & Meng-Chi Tang, 2018. "Hospital efficiency under global budgeting: evidence from Taiwan," Empirical Economics, Springer, vol. 55(3), pages 937-963, November.
    16. Aivazian, Sergei & Afanasiev, Mikhail & Rudenko, Victoria, 2014. "Analysis of dependence between the random components of a stochastic production function for the purpose of technical efficiency estimation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 3-18.
    17. Tai-Hsin Huang & Yi-Chun Lin & Kuo-Jui Huang & Yu-Wei Liao, 2022. "Comparing Cost Efficiency Between Financial and Non-financial Holding Banks and Insurers in Taiwan Under the Framework of Copula Methods and Metafrontier," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 735-766, December.
    18. Arabinda Das, 2021. "Copula-based Stochastic Cost Frontier with Correlated Technical and Allocative Inefficiency," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 207-222, June.
    19. Huang, Tai-Hsin & Chiang, Dien-Lin & Chao, Shih-Wei, 2017. "A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 212-226.
    20. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2023. "Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 59(3), pages 259-279, June.

  16. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.

    Cited by:

    1. Chen, Jun & King, Tao-Hsien Dolly & Wen, Min-Ming, 2015. "Do joint ventures and strategic alliances create value for bondholders?," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 247-267.
    2. Parmeter, Christopher F., 2021. "Is it MOLS or COLS?," Efficiency Series Papers 2021/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    4. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.
    5. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.

  17. Cliff Huang & Hung-pin Lai, 2012. "Estimation of stochastic frontier models based on multimodel inference," Journal of Productivity Analysis, Springer, vol. 38(3), pages 273-284, December.

    Cited by:

    1. Juan José Price & Arne Henningsen, "undated". "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application," Working Papers 5, International Society for Efficiency and Productivity Analysis.
    2. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    3. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    4. Xu Guo & Gao-Rong Li & Michael McAleer & Wing-Keung Wong, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Tinbergen Institute Discussion Papers 17-097/III, Tinbergen Institute.
    5. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019. "Model averaging estimators for the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
    6. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    7. Silvio Daidone & Francisco Pereira Fontes, 2023. "The role of social protection in mitigating the effects of rainfall shocks. Evidence from Ethiopia," Journal of Productivity Analysis, Springer, vol. 60(3), pages 315-332, December.
    8. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    9. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    10. Hakan Güneş & Dilem Yıldırım, 2016. "Estimating Cost Efficiency of Turkish Commercial Banks under Unobserved Heterogeneity with Stochastic Frontier Models," ERC Working Papers 1603, ERC - Economic Research Center, Middle East Technical University, revised Mar 2016.
    11. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.

  18. Lee, Hsiu-Yun & Lai, Hung-Pin, 2011. "A structural threshold model of the exchange rate under optimal intervention," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 931-946, October.

    Cited by:

    1. Mei-Se Chien & Nur Setyowati & Chih-Yang Cheng, 2020. "Asymmetric Effects Of Exchange Rate Volatility On Bilateral Trade Between Taiwan And Indonesia," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(04), pages 857-888, June.
    2. Ghosh, Sunandan & Kundu, Srikanta, 2019. "Central Bank Intervention in Foreign Exchange Market under Managed Float: A Three Regime Threshold VAR Analysis of Indian Rupee-US Dollar Exchange Rate," MPRA Paper 93466, University Library of Munich, Germany.
    3. Sung-Ko Li & Chun-Kei Tsang, 2020. "The Impacts Of Biased Resource Allocation On The Effectiveness Of Official Development Assistance," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(01), pages 239-256, March.
    4. Yang, Jisheng & Wei, Jinbao & Cai, Biqing, 2022. "Quantile unit root inference for panel data with common shocks," Economics Letters, Elsevier, vol. 219(C).

  19. Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.

    Cited by:

    1. Soroush, Golnoush & Cambini, Carlo & Jamasb, Tooraj & Llorca, Manuel, 2020. "Network Utilities Performance and Institutional Quality: Evidence from the Italian Electricity Sector," Working Papers 4-2020, Copenhagen Business School, Department of Economics.
    2. Xu Guo & Gao-Rong Li & Michael McAleer & Wing-Keung Wong, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Tinbergen Institute Discussion Papers 17-097/III, Tinbergen Institute.
    3. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019. "Model averaging estimators for the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
    4. Argüelles, Pablo & Orea, Luis, 2020. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Efficiency Series Papers 2020/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    6. Jin-Li Hu & Tzu-Pu Chang & Ray Chou, 2014. "Market conditions and the effect of diversification on mutual fund performance: should funds be more concentrative under crisis?," Journal of Productivity Analysis, Springer, vol. 41(1), pages 141-151, February.
    7. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Nguyen, Dung Thuy Thi & Diaz-Rainey, Ivan & Roberts, Helen & Le, Minh, 2022. "The non-monotonic relationship between financial integration and cost efficiency: Evidence from East Asian commercial banks," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 418-438.
    9. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    10. Aljar Meesters, 2014. "A note on the assumed distributions in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(2), pages 171-173, October.
    11. Sun, Lei & Chang, Tzu-Pu, 2011. "A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1727-1735, July.
    12. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    13. C. Spulbăr & M. Niţoi, 2014. "Determinants of bank cost efficiency in transition economies: evidence for Latin America, Central and Eastern Europe and South-East Asia," Applied Economics, Taylor & Francis Journals, vol. 46(16), pages 1940-1952, June.
    14. Shamsuzzoha & Makoto Tanaka, 2021. "The role of human capital on the performance of manufacturing firms in Bangladesh," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 21-33, January.
    15. J. Buckell & A. Smith & R. Longo & D. Holland, 2015. "Efficiency, heterogeneity and cost function analysis: empirical evidence from pathology services in the National Health Service in England," Applied Economics, Taylor & Francis Journals, vol. 47(31), pages 3311-3331, July.

  20. Lai, Hung-pin, 2008. "Maximum likelihood estimation of singular systems of equations," Economics Letters, Elsevier, vol. 99(1), pages 51-54, April.

    Cited by:

    1. Federico Ravenna, 2010. "Optimal Policy Restrictions on Observable Outcomes," Cahiers de recherche 1027, CIRPEE.
    2. Ravenna Federico, 2016. "Testing monetary policy optimality using volatility outcomes: a novel approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(2), pages 597-621, June.

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2012-12-06 2018-08-20
  2. NEP-EFF: Efficiency and Productivity (1) 2018-08-20
  3. NEP-ORE: Operations Research (1) 2018-08-20

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