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Investigating the impact of endogeneity on inefficiency estimates in the application of stochastic frontier analysis to nursing homes

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  1. 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.
  2. Niskanen, Olli & Heikkilä, Anna-Maija, 2015. "The Impact of Parcel Structure on the Efficiency of Finnish Dairy Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-13, April.
  3. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
  4. Rouven Edgar Haschka & Katharina Schley & Helmut Herwartz, 2020. "Provision of health care services and regional diversity in Germany: insights from a Bayesian health frontier analysis with spatial dependencies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 55-71, February.
  5. Maximilian Koppenberg & Stefan Hirsch, 2022. "Output market power and firm characteristics in dairy processing: Evidence from three EU countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 490-517, June.
  6. Chancellor, Will & Hughes, Neal & Zhao, Shiji & Soh, Wei Ying & Valle, Haydn & Boult, Christopher, 2021. "Controlling for the effects of climate on total factor productivity: A case study of Australian farms," Food Policy, Elsevier, vol. 102(C).
  7. 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.
  8. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
  9. Michael Danquah & Bazoumana Ouattara & Peter Quartey, 2018. "Technology Transfer and National Efficiency: Does Absorptive Capacity Matter?," African Development Review, African Development Bank, vol. 30(2), pages 162-174, June.
  10. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
  11. Miningou, Elise Wendlassida, 2019. "Effectiveness of education aid revisited: Country-level inefficiencies matter," International Journal of Educational Development, Elsevier, vol. 71(C).
  12. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
  13. INUI Tomohiko & KAWASAKI Kazuyasu & ITO Yukiko & MIYAGAWA Tsutomu & MANO Toshiki, 2019. "Management Practices and Labor Productivity in Intensive Care Homes for the Elderly (Japanese)," Discussion Papers (Japanese) 19049, Research Institute of Economy, Trade and Industry (RIETI).
  14. Danquah, Michael, 2018. "Technology transfer, adoption of technology and the efficiency of nations: Empirical evidence from sub Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 175-182.
  15. Michael Danquah & Peter Quartey, 2015. "Examining the determinants of efficiency using a latent class stochastic frontier model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1124741-112, December.
  16. 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.
  17. Massimo Filippini & Lin Zhang, 2013. "Measurement of the “Underlying energy efficiency” in Chinese provinces," CER-ETH Economics working paper series 13/183, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  18. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
  19. Mohammad Ariful Islam & Seiichi Fukui, 2018. "The influence of share tenancy contracts on the cost efficiency of rice production during the Bangladeshi wet season," Economics Bulletin, AccessEcon, vol. 38(4), pages 2431-2443.
  20. Jiang, Nan & Sharp, Basil, 2014. "Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0, pages 1-13.
  21. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
  22. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
  23. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP072021, School of Economics, University of Queensland, Australia.
  24. Njuki, Eric & Bravo-Ureta, Boris E., 2016. "Climatic Variability and Irrigation Water Efficiency in the United States: An Empirical Assessment of the 1987-2012 Period," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235555, Agricultural and Applied Economics Association.
  25. David Mayston, 2015. "Analysing the effectiveness of public service producers with endogenous resourcing," Journal of Productivity Analysis, Springer, vol. 44(1), pages 115-126, August.
  26. Njuki, E. & Bravo-Ureta, B., 2018. "Accounting for the Impacts of Changing Configurations in Temperature and Precipitation on U.S. Agricultural Productivity," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277140, International Association of Agricultural Economists.
  27. Muange, Elijah N. & Godecke, Theda & Schwarze, Stefan, 2015. "Effects of social networks on technical efficiency in smallholder agriculture: The case of cereal producers Tanzania," 2015 Conference, August 9-14, 2015, Milan, Italy 230221, International Association of Agricultural Economists.
  28. 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.
  29. Bouali Guesmi & Teresa Serra & Amr Radwan & José María Gil, 2018. "Efficiency of Egyptian organic agriculture: A local maximum likelihood approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 441-455, March.
  30. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
  31. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
  32. António Carvalho, 2018. "Energy efficiency in transition economies : A stochastic frontier approach," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 553-578, July.
  33. Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.
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