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Xiaohui Zhang

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. Hillberry,Russell Henry & Zhang,Xiaohui & Hillberry,Russell Henry & Zhang,Xiaohui, 2015. "Policy and performance in customs : evaluating the trade facilitation agreement," Policy Research Working Paper Series 7211, The World Bank.

    Cited by:

    1. Isaac Bonuedi & Kofi Kamasa & Eric Evans Osei Opoku, 2020. "Enabling trade across borders and food security in Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(5), pages 1121-1140, October.
    2. Fontagné, Lionel & Orefice, Gianluca & Piermartini, Roberta, 2016. "Making (small) firms happy: The heterogeneous effect of trade facilitation measures," WTO Staff Working Papers ERSD-2016-03, World Trade Organization (WTO), Economic Research and Statistics Division.
    3. Jaime DE MELO & Ben SHEPHERD, 2018. "The Economics of Non-Tariff Measures: A Primer," Working Papers P212, FERDI.
    4. Volpe Martincus, Christian, 2016. "Out of the Border Labyrinth: An Assessment of Trade Facilitation Initiatives in Latin America and the Caribbean," IDB Publications (Books), Inter-American Development Bank, number 7994, December.
    5. Filip Bugarcic & Joern Kleinert, 2024. "Estimating the effects of logistics performance on trade: Evidence from different gravity model approaches," Graz Economics Papers 2024-13, University of Graz, Department of Economics.
    6. Hillberry, Russell & Zurita, Carlos, 2020. "A Cross-country Assessment of Commitment Behavior in the Trade Facilitation Agreement," Conference papers 333183, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Beckman, Jayson & Dyck, John & Heerman, Kari, 2017. "The Global Landscape of Agricultural Trade, 1995-2014," Economic Information Bulletin 265270, United States Department of Agriculture, Economic Research Service.
    8. Harald Oberhofer & Michael Pfaffermayr & Richard Sellner, 2018. "Revisiting Time as a Trade Barrier: Evidence from a Panel Structural Gravity Model," CESifo Working Paper Series 7426, CESifo.
    9. Gaziza Yessenzholova & Raushan Dulambayeva & Saltanat Kapysheva, 2023. "Assessment of the Impact of Customs Regulation Factor on Foreign Trade of Kazakhstan," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 66-81.
    10. Duc Bao Nguyen & Anne‐Gaël Vaubourg, 2021. "Financial intermediation, trade agreements and international trade," The World Economy, Wiley Blackwell, vol. 44(3), pages 788-817, March.
    11. Beverelli, Cosimo & Gourevich, Isabella & Heiland, Inga & Keck, Alexander & Larch, Mario & Yotov, Yoto, 2023. "Trade and welfare effects of the WTO Trade Facilitation Agreement," WTO Staff Working Papers ERSD-2023-04, World Trade Organization (WTO), Economic Research and Statistics Division.
    12. Russell Hillberry & Carlos Zurita, 2022. "Commitment behaviour in the World Trade Organization's Trade Facilitation Agreement," The World Economy, Wiley Blackwell, vol. 45(1), pages 36-75, January.
    13. Biyik, Onur, 2021. "Japan-AfCFTA Integration Through Economic Impacts of Alternative EPA Scenarios: Examination of the GTAP 10A MRIO Database," Conference papers 333265, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Badri Narayanan & Sachin Sharma & Mohammad Razzaque, 2016. "Trade Facilitation in the Commonwealth: An Economic Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 10(3), pages 305-336, August.
    15. Mary E. Burfisher & Frederic Lambert & Mr. Troy D Matheson, 2019. "NAFTA to USMCA: What is Gained?," IMF Working Papers 2019/073, International Monetary Fund.
    16. Ben Shepherd, 2022. "Modelling global value chains: From trade costs to policy impacts," The World Economy, Wiley Blackwell, vol. 45(8), pages 2478-2509, August.
    17. Biyik, Onur, 2022. "Double Counting in Mystery: Journey of Intermediate Products in Multi-Country Trade," Conference papers 333417, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    18. Terrie Walmsley & Peter Minor, 2020. "Demand shifts and willingness to pay in applied trade models," The World Economy, Wiley Blackwell, vol. 43(6), pages 1499-1520, June.
    19. Beverelli, Cosimo & Ticku, Rohit, 2022. "Reducing tariff evasion: The role of trade facilitation," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 534-554.
    20. Gnangnon, Sèna Kimm, 2022. "Effect of the duration of membership in the World Trade Organization on Trademark Applications," EconStor Preprints 253266, ZBW - Leibniz Information Centre for Economics.
    21. Bernard Hoekman & Dominique Njinkeu, 2017. "Integrating Africa: Some Trade Policy Research Priorities and Challenges," RSCAS Working Papers 2017/43, European University Institute.
    22. Ciuriak, Dan & Dadkhah, Ali & Xiao, Charles, 2019. "Quantifying the USMCA," Conference papers 333073, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    23. Hayakawa, Kazunobu & Keola, Souknilanh & Urata, Shujiro, 2022. "Using truck probe data to measure border clearance time: evidence from thailand," IDE Discussion Papers 846, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    24. Utsav Kumar & Ben Shepherd & Roselle Dime, 2018. "Trade Costs, Time, and Supply Chain Reliability," Working Papers id:12826, eSocialSciences.
    25. Jayson Beckman & Munisamy Gopinath & Kamron Daugherty, 2021. "Options for ASEAN trade expansion: Within, plus three or six, European Union or the United States?," The World Economy, Wiley Blackwell, vol. 44(5), pages 1177-1204, May.
    26. Kim, Dongin & Steinbach, Sandro & Zurita, Carlos, 2024. "Deep trade agreements and agri-food global value chain integration," Food Policy, Elsevier, vol. 127(C).
    27. Kikuchi, Tomoo & Yanagida, Kensuke & Vo, Huong, 2018. "The effects of Mega-Regional Trade Agreements on Vietnam," Journal of Asian Economics, Elsevier, vol. 55(C), pages 4-19.

  2. Guohua Feng & Jiti Gao & Bin Peng & Xiaohui Zhang, 2015. "A Varying-Coefficient Panel Data Model with Fixed Effects: Theory and an Application to U.S. Commercial Banks," Monash Econometrics and Business Statistics Working Papers 9/15, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Hao Dong & Taisuke Otsu & Luke Taylor, 2019. "Estimation of Varying Coefficient Models with Measurement Error," STICERD - Econometrics Paper Series 607, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Guohua Feng & Keith R. McLaren & Ou Yang & Xiaohui Zhang & Xueyan Zhao, 2019. "The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries," Melbourne Institute Working Paper Series wp2019n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Phillips, Peter C.B. & Wang, Ying, 2022. "Functional coefficient panel modeling with communal smoothing covariates," Journal of Econometrics, Elsevier, vol. 227(2), pages 371-407.
    4. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    5. Bin Ping & Liangju Su & Yanrong Yang & Joakim Westerlund, 2023. "Interactive-effects panel-data models with general factors and regressors," French Stata Users' Group Meetings 2023 14, Stata Users Group.
    6. Jorge Eduardo Pérez, 2022. "Visualization, identification, and estimation in linear panel event-study design," Colombian Stata Users' Group Meetings 2022 05, Stata Users Group.
    7. Price, Sarah & Zhang, Xiaohui & Spencer, Anne, 2020. "Measuring the impact of national guidelines: What methods can be used to uncover time-varying effects for healthcare evaluations?," Social Science & Medicine, Elsevier, vol. 258(C).
    8. Heather Anderson & Jiti Gao & Farshid Vahid & Wei Wei & Yang Yang, 2023. "Does Climate Sensitivity Differ Across Regions?," Monash Econometrics and Business Statistics Working Papers 7/23, Monash University, Department of Econometrics and Business Statistics.
    9. Cheng, Ming-Yen & Wang, Shouxia & Xia, Lucy & Zhang, Xibin, 2024. "Testing specification of distribution in stochastic frontier analysis," Journal of Econometrics, Elsevier, vol. 239(2).
    10. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Varying-coefficient panel data models with partially observed factor structure," Monash Econometrics and Business Statistics Working Papers 1/18, Monash University, Department of Econometrics and Business Statistics.
    11. Dong, Jichang & Yin, Lijun & Liu, Xiaoting & Hu, Meiting & Li, Xiuting & Liu, Lei, 2020. "Impact of internet finance on the performance of commercial banks in China," International Review of Financial Analysis, Elsevier, vol. 72(C).
    12. Arteaga-Molina, Luis A. & Rodríguez-Poo, Juan M., 2019. "Empirical likelihood based inference for a categorical varying-coefficient panel data model with fixed effects," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 110-124.
    13. Emawtee Bissoondoyal‐Bheenick & Robert Brooks & Hung Xuan Do, 2023. "Risk Analysis of Pension Fund Investment Choices," Abacus, Accounting Foundation, University of Sydney, vol. 59(3), pages 872-898, September.
    14. Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Papers 1903.07948, arXiv.org.
    15. Hua Liu & Youquan Pei & Qunfang Xu, 2020. "Estimation for varying coefficient panel data model with cross-sectional dependence," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(3), pages 377-410, April.
    16. Lixiong Yang & Chingnun Lee & I‐Po Chen, 2021. "Threshold model with a time‐varying threshold based on Fourier approximation," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 406-430, July.
    17. Hao, Xiaoli & Deng, Feng, 2019. "The marginal and double threshold effects of regional innovation on energy consumption structure: Evidence from resource-based regions in China," Energy Policy, Elsevier, vol. 131(C), pages 144-154.
    18. Ji Wu & Shirong Zhao, 2024. "Returns to scale in cost, revenue, and profit for European banks: New results from nonparametric local linear methods," The Financial Review, Eastern Finance Association, vol. 59(2), pages 487-517, May.
    19. Casas Villalba, Maria Isabel, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Yan-Yong Zhao & Ling-Ling Ge & Yuan Liu, 2025. "Estimation of panel data partially linear time-varying coefficient models with cross-sectional spatial autoregressive errors," Statistical Papers, Springer, vol. 66(1), pages 1-37, January.

  3. KiHoon Jimmy Hong & Bin Peng & Xiaohui Zhang, 2014. "Capturing the Impact of Latent Industry-Wide Shocks with Dynamic Panel Model," Research Paper Series 347, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Ahmadi, Maryam & Manera, Matteo & Sadeghzadeh, Mehdi, 2016. "Global oil market and the U.S. stock returns," Energy, Elsevier, vol. 114(C), pages 1277-1287.
    2. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
    3. Yu, Gun Jea & Hong, KiHoon, 2016. "Patents and R&D expenditure in explaining stock price movements," Finance Research Letters, Elsevier, vol. 19(C), pages 197-203.

  4. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Enrica Chiappero‐Martinetti & Paola Salardi & Francesco Scervini, 2019. "Estimating conversion rates: A new empirical strategy with an application to health care in Italy," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 748-764, June.

Articles

  1. 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.

    Cited by:

    1. Meena Badade & T. V. Ramanathan, 2020. "Probabilistic frontier regression model for multinomial ordinal type output data," Journal of Productivity Analysis, Springer, vol. 53(3), pages 339-354, June.
    2. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    3. Meena Badade & T. V. Ramanathan, 2022. "Probabilistic Frontier Regression Models for Count Type Output Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 235-260, September.
    4. Shih-Tang Hwu & Tsu-Tan Fu & Wen-Jen Tsay, 2021. "Estimation and efficiency evaluation of stochastic frontier models with interval dependent variables," Journal of Productivity Analysis, Springer, vol. 56(1), pages 33-44, August.
    5. Badunenko, Oleg & Cordero, Jose M. & Kumbhakar, Subal C., 2021. "Are you slacking? Where do you and your country stand in the happiness pursuit?," MPRA Paper 108316, University Library of Munich, Germany.

  2. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.

    Cited by:

    1. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
    2. Mamatzakis, Emmanuel & Zhang, Xiaoxiang & Wang, Chaoke, 2016. "Invisible hand discipline from informed trading: Does market discipline from trading affect bank capital structure?," MPRA Paper 76215, University Library of Munich, Germany.
    3. Hien Thu Pham & Shino Takayama, 2017. "Revisiting the “Missing Middle”: Productivity Analysis," Discussion Papers Series 580, School of Economics, University of Queensland, Australia.
    4. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    5. Hien Thu Pham & Nhan Buu Phan & Shino Takayama, 2020. "Productivity, Efficiency and Firm Size Distribution: Evidence from Vietnam," Discussion Papers Series 617, School of Economics, University of Queensland, Australia.
    6. Seyed Mehdian & Rasoul Rezvanian & Ovidiu Stoica, 2019. "The Effect Of The 2008 Global Financial Crisis On The Efficiency Of Large U.S. Commercial Banks," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 24, pages 11-27, December.
    7. Cheng, Ming-Yen & Wang, Shouxia & Xia, Lucy & Zhang, Xibin, 2024. "Testing specification of distribution in stochastic frontier analysis," Journal of Econometrics, Elsevier, vol. 239(2).
    8. Dia, Enzo & Jiang, Lunan & Menna, Lorenzo & Zhang, Lin, 2023. "Interest margins, lending rates and bank productivity among Chinese provinces," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 104-127.
    9. Emmanuel Mamatzakis & Roman Matousek & Anh Nguyet Vu, 2019. "What is the impact of problem loans on Japanese bank productivity growth?," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 28(2), pages 213-240, May.
    10. Hien Thu Pham & Shino Takayama, 2017. "Firm Size Distribution, Production Efficiency, and Returns to Scale: A Stochastic Frontier Approach," Discussion Papers Series 581, School of Economics, University of Queensland, Australia.
    11. Dia, Enzo & VanHoose, David, 2019. "Real resource utilization in banking, economies of scope, and the relationship between retail loans and deposits," Economics Letters, Elsevier, vol. 177(C), pages 39-42.
    12. Spierdijka, Laura & Zaourasa, Michalis, 2018. "Measuring banks’ market power in the presence of economies of scale: A scale-corrected Lerner index," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 40-48.
    13. Ferrara, Giancarlo & Kounetas, Konstantinos E., 2024. "US banks efficiency after global financial crisis: Transient and persistent decomposition," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    14. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    16. Anthony J. Glass & Karligash Kenjegalieva, 2024. "Returns to scale, spillovers and persistence: A network perspective of U.S. bank size," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2049-2076, April.
    17. Robert McKeown, 2017. "Costs, Size And Returns To Scale Among Canadian And U.s. Commercial Banks," Working Paper 1382, Economics Department, Queen's University.
    18. Kien C. Tran & Mike G. Tsionas & Emmanuel Mamatzakis, 2020. "Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks," Empirical Economics, Springer, vol. 58(6), pages 2733-2760, June.
    19. Robert McKeown, 2017. "Where Are The Economies Of Scale In Canadian Banking?," Working Paper 1380, Economics Department, Queen's University.
    20. Ji Wu & Shirong Zhao, 2024. "Returns to scale in cost, revenue, and profit for European banks: New results from nonparametric local linear methods," The Financial Review, Eastern Finance Association, vol. 59(2), pages 487-517, May.
    21. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    22. Cortés-García, J. Salvador & Pérez-Rodríguez, Jorge V., 2024. "Heterogeneity and time-varying efficiency in the Ecuadorian banking sector. An output distance stochastic frontier approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 164-175.

  3. Xiaohui Zhang & Katharina Hauck & Xueyan Zhao, 2013. "Patient Safety In Hospitals – A Bayesian Analysis Of Unobservable Hospital And Specialty Level Risk Factors," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1158-1174, September.

    Cited by:

    1. Vincent Šoltés & Beáta Gavurová, 2014. "The possibilities of day surgery system development within the health policy in Slovakia," Health Economics Review, Springer, vol. 4(1), pages 1-12, December.
    2. Yan Meng & Xueyan Zhao & Xibin Zhang & Jiti Gao, 2017. "A panel data analysis of hospital variations in length of stay for hip replacements: Private versus public," Monash Econometrics and Business Statistics Working Papers 20/17, Monash University, Department of Econometrics and Business Statistics.

  4. Feng, Guohua & Zhang, Xiaohui, 2012. "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1883-1895.

    Cited by:

    1. Diego Restrepo-Tobón & Subal Kumbhakar & Kai Sun, 2015. "Obelix vs. Asterix: Size of US commercial banks and its regulatory challenge," Journal of Regulatory Economics, Springer, vol. 48(2), pages 125-168, October.
    2. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Series estimation for single-index models under constraints," Monash Econometrics and Business Statistics Working Papers 5/18, Monash University, Department of Econometrics and Business Statistics.
    3. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
    4. Diego A. Restrepo-Tobón & Subal C. Kumbhakar & Kai Sun, 2013. "Are U.S. Commercial Banks Too Big?," Documentos de Trabajo de Valor Público 10943, Universidad EAFIT.
    5. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
    6. Bin Ping & Liangju Su & Yanrong Yang & Joakim Westerlund, 2023. "Interactive-effects panel-data models with general factors and regressors," French Stata Users' Group Meetings 2023 14, Stata Users Group.
    7. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Discussion Paper 2015-036, Tilburg University, Center for Economic Research.
    8. Ghulam, Yaseen & Dhruva, Kamini, 2024. "Banking sector reforms in a challenging environment: An emerging financial market experience," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1074-1096.
    9. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    10. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    11. Guohua Feng & Chuan Wang, 2021. "Determinants of profitability of community banks in the USA: a cost-frontier-based decomposition approach," Empirical Economics, Springer, vol. 60(6), pages 2969-2992, June.
    12. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Emmanuel Mamatzakis & Roman Matousek & Anh Nguyet Vu, 2019. "What is the impact of problem loans on Japanese bank productivity growth?," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 28(2), pages 213-240, May.
    14. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Varying-coefficient panel data models with partially observed factor structure," Monash Econometrics and Business Statistics Working Papers 1/18, Monash University, Department of Econometrics and Business Statistics.
    15. Gregory McKee & Albert Kagan, 2018. "Community bank structure an x-efficiency approach," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 19-41, July.
    16. Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Nonparametric estimation of returns to scale using input distance functions: an application to large U.S. banks," Empirical Economics, Springer, vol. 48(1), pages 143-168, February.
    17. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    18. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    19. Alex Fayman & Su‐Jane Chen & Timothy Mayes, 2022. "Community banks versus non‐community banks: Post the Great Recession," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(2), July.
    20. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    21. Eskelinen, Juha & Kuosmanen, Timo, 2013. "Intertemporal efficiency analysis of sales teams of a bank: Stochastic semi-nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5163-5175.
    22. Agovino, Massimiliano & Bartoletto, Silvana & Garofalo, Antonio, 2022. "A long-term analysis of efficiency in the Italian banking system from 1861 to 2010," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 227-241.
    23. Emir Malikov & Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Estimation of banking technology under credit uncertainty," Empirical Economics, Springer, vol. 49(1), pages 185-211, August.
    24. Chaohua Dong & Jiti Gao & Bin Peng, 2016. "Another Look at Single-Index Models Based on Series Estimation," Monash Econometrics and Business Statistics Working Papers 19/16, Monash University, Department of Econometrics and Business Statistics.
    25. Zhao, Bingquan & Tian, Yuan & Kenjegalieva, Karligash & Wood, Justine, 2024. "Measuring the productivity of urban commercial banks in China," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 477-489.
    26. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    27. Robert McKeown, 2017. "Costs, Size And Returns To Scale Among Canadian And U.s. Commercial Banks," Working Paper 1382, Economics Department, Queen's University.
    28. Robert McKeown, 2017. "Where Are The Economies Of Scale In Canadian Banking?," Working Paper 1380, Economics Department, Queen's University.
    29. 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.
    30. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
    31. Emir Malikov & Subal C. Kumbhakar & Mike G. Tsionas, 2016. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of us Banks in 2001–2010," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1407-1429, November.
    32. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    33. Raz, Arisyi F., 2023. "Bank liquidity creation and religious observance: Evidence from Ramadan fasting," Journal of Corporate Finance, Elsevier, vol. 83(C).
    34. Cristina Bernini & Paola Brighi, 2012. "Modeling the effects of Geographical Expansion Strategies on the Italian Minor Banks' Efficiency," Working Paper series 72_12, Rimini Centre for Economic Analysis.
    35. Al-Khasawneh, Jamal Ali & Essaddam, Naceur & Hussain, Tashfeen, 2020. "Total productivity and cost efficiency dynamics of US merging banks: A non-parametric bootstrapped analysis of the fifth merger wave," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 199-211.

  5. Zhang, Xiaohui & Zhao, Xueyan & Harris, Anthony, 2009. "Chronic diseases and labour force participation in Australia," Journal of Health Economics, Elsevier, vol. 28(1), pages 91-108, January.

    Cited by:

    1. Joan Gil & Antonio Sicras-Mainar & Eugenio Zucchelli, 2016. "The effects of non-adherence on health care utilisation: panel data evidence on uncontrolled diabetes," Working Papers 2016-06, FEDEA.
    2. Abid A. Burki & Mushtaq A. Khan & Sobia Malik, 2015. "From Chronic Disease to Food Poverty: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(1), pages 17-33.
    3. Ruwan Jayathilaka & Sheron Joachim & Venuri Mallikarachchi & Nishali Perera & Dhanushika Ranawaka, 2020. "Chronic diseases: An added burden to income and expenses of chronically-ill people in Sri Lanka," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-25, October.
    4. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo, 2015. "Estado de salud y participación laboral: Evidencia para Colombia," Borradores de Economia 851, Banco de la Republica de Colombia.
    5. Ruwan Jayathilaka & Sheron Joachim & Venuri Mallikarachchi & Nishali Perera & Dhanushika Ranawaka, 2020. "Do chronic illnesses and poverty go hand in hand?," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    6. Thomas Barnay & Éric Defebvre, 2019. "The Influence of Mental Health on Job Retention," Working Papers hal-02070307, HAL.
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