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Xiaohui Zhang

Personal Details

First Name:Xiaohui
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh637
Terminal Degree:2009 Department of Econometrics and Business Statistics; Monash Business School; Monash University (from RePEc Genealogy)

Affiliation

School of Management and Governance
Murdoch University

Fremantle, Australia
http://www.murdoch.edu.au/School-of-Management-and-Governance/
RePEc:edi:edmurau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

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.
  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.
  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.
  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.

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.
  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.
  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.
  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.
  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.

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. Jaime DE MELO & Ben SHEPHERD, 2018. "The Economics of Non-Tariff Measures: A Primer," Working Papers P212, FERDI.
    2. Lionel Fontagné & Gianluca Orefice & Roberta Piermartini, 2020. "Making small firms happy? The heterogeneous effect of trade facilitation measures," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02444887, HAL.
    3. 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.
    4. Utsav Kumar & Ben Shepherd & Roselle Dime, 2018. "Trade Costs, Time, and Supply Chain Reliability," Working Papers id:12826, eSocialSciences.
    5. 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.
    6. 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.
    7. 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.
    8. Mary E. Burfisher & Frederic Lambert & Mr. Troy D Matheson, 2019. "NAFTA to USMCA: What is Gained?," IMF Working Papers 2019/073, International Monetary Fund.
    9. Beverelli, Cosimo & Ticku, Rohit, 2022. "Reducing tariff evasion: The role of trade facilitation," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 534-554.
    10. 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.
    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. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Ciuriak, Dan & Dadkhah, Ali & Xiao, Charles, 2019. "Quantifying the USMCA," Conference papers 333073, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    25. 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, November.
    26. Bernard Hoekman & Dominique Njinkeu, 2017. "Integrating Africa: Some Trade Policy Research Priorities and Challenges," RSCAS Working Papers 2017/43, European University Institute.

  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. Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2022. "Estimation of varying coefficient models with measurement error," Journal of Econometrics, Elsevier, vol. 230(2), pages 388-415.
    9. Feng, Guohua & Gao, Jiti & Peng, Bin, 2022. "An integrated panel data approach to modelling economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 379-397.
    10. Jorge Eduardo Pérez, 2022. "Visualization, identification, and estimation in linear panel event-study design," Colombian Stata Users' Group Meetings 2022 05, Stata Users Group.
    11. 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.
    12. 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.
    13. 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).
    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. 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.
    16. 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).
    17. 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).
    18. 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.

  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. Maryam Ahmad & Matteo Manera & Mehdi Sadeghzadeh, 2015. "Global Oil Market and the U.S. Stock Returns," Working Papers 2015.91, Fondazione Eni Enrico Mattei.
    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. 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.
    2. 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.
    3. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    4. 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.
    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. Hien Thu Pham & Shino Takayama, 2017. "Revisiting the “Missing Middle”: Productivity Analysis," Discussion Papers Series 580, School of Economics, University of Queensland, Australia.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. Robert McKeown, 2017. "Costs, Size And Returns To Scale Among Canadian And U.s. Commercial Banks," Working Paper 1382, Economics Department, Queen's University.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Robert McKeown, 2017. "Where Are The Economies Of Scale In Canadian Banking?," Working Paper 1380, Economics Department, Queen's University.
    13. 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.
    14. 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.
    15. 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.
    16. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    17. 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.
    18. 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).
    19. 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.
    20. 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.
    21. 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.

  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. 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.
    2. Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
    3. 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.
    4. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM f7a73cdb-55a2-40d3-936f-7, Tilburg University, School of Economics and Management.
    5. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Robert McKeown, 2017. "Costs, Size And Returns To Scale Among Canadian And U.s. Commercial Banks," Working Paper 1382, Economics Department, Queen's University.
    12. Raz, Arisyi F., 2023. "Bank liquidity creation and religious observance: Evidence from Ramadan fasting," Journal of Corporate Finance, Elsevier, vol. 83(C).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Robert McKeown, 2017. "Where Are The Economies Of Scale In Canadian Banking?," Working Paper 1380, Economics Department, Queen's University.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.

  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. 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.
    2. 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.
    3. Thomas Barnay, 2014. "Health, Work and Working Conditions: A Review of the European Economic Literature," OECD Economics Department Working Papers 1148, OECD Publishing.
    4. Till Seuring & Yevgeniy Goryakin & Marc Suhrcke, 2014. "The impact of diabetes on employment in Mexico," Working Papers 100cherp, Centre for Health Economics, University of York.
    5. Xavier Pautrel, 2012. "Pollution, Private Investment in Healthcare, and Environmental Policy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(2), pages 334-357, June.
    6. David W. Johnston; & Stefanie Schurer; & Michael Shields;, 2012. "Evidence on the long shadow of poor mental health across three generations," Health, Econometrics and Data Group (HEDG) Working Papers 12/20, HEDG, c/o Department of Economics, University of York.
    7. Joan Gil & Antoni Sicras-Mainar & Eugenio Zucchelli, 2018. "Uncontrolled diabetes and health care utilisation: panel data evidence from Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 785-795, July.
    8. Steven F. Koch & Evelyn Thsehla, 2022. "The impact of diabetes on labour market outcomes," Development Southern Africa, Taylor & Francis Journals, vol. 39(3), pages 424-456, May.
    9. Zheng Shen & Xiaodong Zheng & Yiwen Tan, 2019. "The Spillover Effects of Spousal Chronic Diseases on Married Couples’ Labour Supply: Evidence from China," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    10. Joan Gil & Paolo Li Donni & Eugenio Zucchelli, 2018. "Uncontrolled diabetes and health care utilisation: a bivariate Latent Markov model approach," UB School of Economics Working Papers 2018/382, University of Barcelona School of Economics.
    11. Eric Delattre & Richard Moussa & Mareva Sabatier, 2019. "Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey," Post-Print hal-02010579, HAL.
    12. Mark N. Harris & Xueyan Zhao & Eugenio Zucchelli, 2021. "Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 199-227, February.
    13. Zucchelli, E. & Harris, M. & Zhao, X., 2012. "Ill-health and transitions to part-time work and self-employment among older workers," Health, Econometrics and Data Group (HEDG) Working Papers 12/04, HEDG, c/o Department of Economics, University of York.
    14. Adolfo Meisel-Roca & Hernando Vargas-Herrera (ed.), 2018. "Ensayos sobre crecimiento económico en Colombia," Books, Banco de la Republica de Colombia, number 2018-06, July.
    15. Jatrana, Santosh & Pasupuleti, Samba Siva Rao & Richardson, Ken, 2014. "Nativity, duration of residence and chronic health conditions in Australia: Do trends converge towards the native-born population?," Social Science & Medicine, Elsevier, vol. 119(C), pages 53-63.
    16. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
    17. Patrick Laplagne & Maurice Glover & Anthony Shomos, 2007. "Effects of Health and Education on Labour Force Participation," Staff Working Papers 0704, Productivity Commission, Government of Australia.
    18. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo, 2014. "Health Status and Labor Force Participation: Evidence for Urban Low and Middle Income Individuals in Colombia," Borradores de Economia 12304, Banco de la Republica.
    19. Nick Drydakis, 2010. "Health impairments and labour market outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(5), pages 457-469, October.
    20. Amanda Gaulke, 2021. "Individual and family labor market impacts of chronic diseases," IZA World of Labor, Institute of Labor Economics (IZA), pages 482-482, January.
    21. 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.
    22. Xavier Pautrel, 2009. "Health-enhancing Activities and the Environment: How Competition for Resources Makes the Environmental Policy Beneficial," Working Papers 2009.111, Fondazione Eni Enrico Mattei.
    23. Costa-Font, Joan & Gyori, Mario, 2020. "The Weight of Patriarchy? Gender Obesity Gaps in the Middle East and North Africa (MENA)," IZA Discussion Papers 13687, Institute of Labor Economics (IZA).
    24. Rajabrata Banerjee & Admasu Asfaw Maruta & Ronald Donato, 2023. "Does higher financial inclusion lead to better health outcomes? Evidence from developing and transitional economies," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(2), pages 363-401, April.
    25. Ajay Mahal & Anup Karan & Victoria Y Fan & Michael Engelgau, 2013. "The Economic Burden of Cancers on Indian Households," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
    26. Nerina Vecchio & Paul Scuffham, 2009. "Mental Health and Hours Worked Among Nurses," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 12(3), pages 299-320.
    27. Rong Fu & Haruko Noguchi & Shuhei Kaneko & Akira Kawamura & Cheolmin Kang & Hideto Takahashi & Nanako Tamiya, 2019. "How do cardiovascular diseases harm labor force participation? Evidence of nationally representative survey data from Japan, a super-aged society," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-16, July.
    28. Lixin Cai & Changxin Cong, 2009. "Effects Of Health And Chronic Diseases On Labour Force Participation Of Older Working‐Age Australians," Australian Economic Papers, Wiley Blackwell, vol. 48(2), pages 166-182, June.
    29. 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.
    30. Annarita Macchioni Giaquinto & Andrew M. Jones & Nigel Rice & Francesca Zantomio, 2022. "Labor supply and informal care responses to health shocks within couples: Evidence from the UK," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2700-2720, December.
    31. Fabrizio Starace & Francesco Mungai & Elena Sarti & Tindara Addabbo, 2017. "Self-reported unemployment status and recession: An analysis on the Italian population with and without mental health problems," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-13, April.
    32. Mora-Rivera, Jorge & van Gameren, Edwin, 2021. "The impact of remittances on food insecurity: Evidence from Mexico," World Development, Elsevier, vol. 140(C).
    33. Nick Drydakis, 2011. "Health status and wage differences: measuring productivity penalty and discrimination patterns," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1393-1396.
    34. Lee, Wang-Sheng & Guven, Cahit, 2013. "Engaging in corruption: The influence of cultural values and contagion effects at the microlevel," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 287-300.
    35. Pengju Zhao & Ke Li & Peter C. Coyte, 2023. "The impact of non-communicable chronic diseases on the earned income of working age Chinese residents," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    36. Gil, J. & Sicras-Mainar, A. & Zucchelli, E., 2016. "The effects of non-adherence on health care utilisation: panel data evidence on uncontrolled diabetes," Health, Econometrics and Data Group (HEDG) Working Papers 16/07, HEDG, c/o Department of Economics, University of York.
    37. Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2016. "The Impact of Diabetes on Labor Market Outcomes in Mexico: A Panel Data and Biomarker Analysis," IZA Discussion Papers 10123, Institute of Labor Economics (IZA).
    38. Ebaidalla Mahjoub Ebaidalla & Mohammed Elhaj Mustafa Ali, 2018. "Chronic Illness and Labor Market Participation in Arab Countries: Evidence from Egypt and Tunisia," Working Papers 1229, Economic Research Forum, revised 10 Oct 2018.
    39. Éric Defebvre, 2017. "Disentangling occupational and health paths: employment, working conditions and health interactions," Erudite Ph.D Dissertations, Erudite, number ph17-04 edited by Thomas Barnay.
    40. Stabridis, Omar & van Gameren, Edwin, 2018. "Exposure to firewood: Consequences for health and labor force participation in Mexico," World Development, Elsevier, vol. 107(C), pages 382-395.
    41. Nils Braakmann, 2010. "The consequences of own and spousal disability on labor market outcomes and subjective well-being: Evidence from Germany," Working Paper Series in Economics 161, University of Lüneburg, Institute of Economics.
    42. Anthony Scott & Stefanie Schurer & Paul H. Jensen & Peter Sivey, 2009. "The effects of an incentive program on quality of care in diabetes management," Health Economics, John Wiley & Sons, Ltd., vol. 18(9), pages 1091-1108, September.
    43. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.
    44. Thomas Barnay & Éric Defebvre, 2019. "The Influence of Mental Health on Job Retention," Working Papers hal-02070307, HAL.
    45. Anthony Harris, 2009. "Diabetes, Cardiovascular Disease and Labour Force Participation in Australia: An Endogenous Multivariate Probit Analysis of Clinical Prevalence Data," The Economic Record, The Economic Society of Australia, vol. 85(271), pages 472-484, December.
    46. Evans-Lacko, Sara & Knapp, Martin & McCrone, Paul & Thornicroft, Graham & Mojtabai, Ramin, 2013. "The mental health consequences of the recession: economic hardship and employment of people with mental health problems in 27 European countries," LSE Research Online Documents on Economics 51632, London School of Economics and Political Science, LSE Library.
    47. Changhui Kang & Myoung-jae Lee, 2014. "Estimation of Binary Response Models With Endogenous Regressors," Pacific Economic Review, Wiley Blackwell, vol. 19(4), pages 502-530, October.
    48. Lennon, Conor, 2021. "Are the costs of employer-sponsored health insurance passed on to workers at the individual level?," Economics & Human Biology, Elsevier, vol. 41(C).
    49. Harris, M.N. & Zhao, X. & Zucchelli, E., 2016. "The dynamics of health and labour market transitions at older ages: evidence from a multi-state model," Health, Econometrics and Data Group (HEDG) Working Papers 16/30, HEDG, c/o Department of Economics, University of York.
    50. Sara Evans-Lacko & Martin Knapp & Paul McCrone & Graham Thornicroft & Ramin Mojtabai, 2013. "The Mental Health Consequences of the Recession: Economic Hardship and Employment of People with Mental Health Problems in 27 European Countries," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.

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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 4 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-EFF: Efficiency and Productivity (3) 2010-03-13 2010-04-17 2015-05-02
  2. NEP-ECM: Econometrics (2) 2010-03-13 2015-05-02
  3. NEP-BAN: Banking (1) 2015-05-02
  4. NEP-DCM: Discrete Choice Models (1) 2010-03-13
  5. NEP-INT: International Trade (1) 2015-03-22

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