IDEAS home Printed from https://ideas.repec.org/f/pfe222.html
   My authors  Follow this author

Guohua Feng

Personal Details

First Name:Guohua
Middle Name:
Last Name:Feng
Suffix:
RePEc Short-ID:pfe222

Affiliation

Department of Econometrics and Business Statistics
Monash Business School
Monash University

Melbourne, Australia
http://business.monash.edu/econometrics-and-business-statistics

: 03 990 52372
03 990 55474
Room 674, Menzies Building, Wellington Road, Clayton, Victoria, 3168
RePEc:edi:dxmonau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
  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. Guohua Feng & Apostolos Serletis, 2010. "A Primal Divisia Technical Change Index Based on the Output Distance Function," Monash Econometrics and Business Statistics Working Papers 7/10, Monash University, Department of Econometrics and Business Statistics.
  4. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
  5. Apostolos Serletis & Guohua Feng, "undated". "Imposing Theoretical Regularity on Flexible Functional Forms," Working Papers 2013-11, Department of Economics, University of Calgary.
  6. Guohua Feng & Apostolos Serletis, "undated". "Undesirable Outputs and a Primal Divisia Productivity Index Based on the Directional Output Distance Function," Working Papers 2013-15, Department of Economics, University of Calgary.

Articles

  1. 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.
  2. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2018. "Estimation of technical change and price elasticities: a categorical time–varying coefficient approach," Journal of Productivity Analysis, Springer, vol. 50(3), pages 117-138, December.
  3. Feng, Guohua & Wang, Chuan, 2018. "Why European banks are less profitable than U.S. banks: A decomposition approach," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 1-16.
  4. 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.
  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. Apostolos Serletis & Guohua Feng, 2015. "Imposing Theoretical Regularity on Flexible Functional Forms," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 198-227, February.
  7. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
  8. 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.
  9. Feng, Guohua & Serletis, Apostolos, 2013. "Public Infrastructure And Externalities In U.S. Manufacturing: Evidence From The Price-Augmenting Aim Cost Function," Macroeconomic Dynamics, Cambridge University Press, vol. 17(07), pages 1367-1410, October.
  10. 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.
  11. Serletis, Apostolos & Feng, Guohua, 2010. "Semi-Nonparametric Estimates Of Currency Substitution Between The Canadian Dollar And The U.S. Dollar," Macroeconomic Dynamics, Cambridge University Press, vol. 14(01), pages 29-55, February.
  12. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
  13. Feng, Guohua & Serletis, Apostolos, 2010. "A primal Divisia technical change index based on the output distance function," Journal of Econometrics, Elsevier, vol. 159(2), pages 320-330, December.
  14. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
  15. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, 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. 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. 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.

  2. Guohua Feng & Apostolos Serletis, 2010. "A Primal Divisia Technical Change Index Based on the Output Distance Function," Monash Econometrics and Business Statistics Working Papers 7/10, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. 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.
    2. James J. Heckman & Apostolos Serletis, "undated". "Introduction to Internally Consistent Modeling, Aggregation, Inference, and Policy," Working Papers 2014-73, Department of Economics, University of Calgary, revised 29 Sep 2014.
    3. Guohua Feng & Apostolos Serletis, "undated". "Undesirable Outputs and a Primal Divisia Productivity Index Based on the Directional Output Distance Function," Working Papers 2013-15, Department of Economics, University of Calgary.
    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.

  3. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Wilko Bolt & David Humphrey, 2008. "Bank Competition Efficiency in Europe: A Frontier Approach," DNB Working Papers 194, Netherlands Central Bank, Research Department.
    2. Beccalli, Elena & Anolli, Mario & Borello, Giuliana, 2015. "Are European banks too big? evidence on economies of scale," LSE Research Online Documents on Economics 62936, London School of Economics and Political Science, LSE Library.
    3. 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.
    4. Leonardo Gambacorta & Adrian Van Rixtel, 2013. "Structural bank regulation initiatives: approaches and implications," BIS Working Papers 412, Bank for International Settlements.
    5. Joseph P. Hughes & Loretta J. Mester, 2013. "Measuring the Performance of Banks: Theory, Practice, Evidence, and Some Policy Implications," Departmental Working Papers 201322, Rutgers University, Department of Economics.
    6. 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.
    7. Beccalli, Elena & Anolli, Mario & Borello, Giuliana, 2015. "Are European banks too big? Evidence on economies of scale," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 232-246.
    8. Joseph P. Hughes & Loretta J. Mester, 2011. "Who said large banks don't experience scale economies? Evidence from a risk-return-driven cost function," Working Papers 11-27, Federal Reserve Bank of Philadelphia.
    9. 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.
    10. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    11. Breton, R. & Pinto, C. & Weber, P.F., 2012. "Banks, moral hazard, and public debts," Financial Stability Review, Banque de France, issue 16, pages 57-70, April.
    12. George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
    13. Robert McKeown, 2017. "Costs, size and returns to scale among Canadian and U.S. commercial banks," Working Papers 1382, Queen's University, Department of Economics.
    14. Alireza Tamadonnejad & Aisyah Abdul-Rahman & Mariani Abdul-Majid & Mansor Jusoh, 2017. "The evaluation of East Asian banks by considering economic and political conditions as well as country risk," International Economics and Economic Policy, Springer, vol. 14(1), pages 27-41, January.
    15. David C. Wheelock & Paul W. Wilson, 2009. "Are U.S. banks too large?," Working Papers 2009-054, Federal Reserve Bank of St. Louis.
    16. Dhananjay Bapat, 2018. "Profitability drivers for Indian banks: a dynamic panel data analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(4), pages 437-451, December.
    17. Sameh Charfeddine Karray & Jamel eddine Chichti, 2013. "Bank Size and Efficiency in Developing Countries: Intermediation Approach versus Value Added Approach and Impact of Non-Traditional Activities," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(5), pages 593-613, May.
    18. Joseph P. Hughes, 2013. "The Elusive Scale Economies of the Largest Banks and Their Implications for Global Competitiveness," World Scientific Book Chapters,in: The Role of Central Banks in Financial Stability How Has It Changed?, chapter 17, pages 327-345 World Scientific Publishing Co. Pte. Ltd..
    19. Assaf, A. George & Josiassen, Alexander, 2012. "European vs. U.S. airlines: Performance comparison in a dynamic market," Tourism Management, Elsevier, vol. 33(2), pages 317-326.
    20. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
    21. 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.
    22. 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.
    23. Kersten Kellermann, 2011. "Too big to fail: a thorn in the side of free markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 38(3), pages 331-349, July.
    24. Boyd, John H. & Heitz, Amanda, 2016. "The social costs and benefits of too-big-to-fail banks: A “bounding” exercise," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 251-265.
    25. Portela, Maria C.A.S. & Thanassoulis, Emmanuel, 2010. "Malmquist-type indices in the presence of negative data: An application to bank branches," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1472-1483, July.
    26. Joseph P. Hughes & Loretta J. Mester, 2016. "The Future of Large, Internationally Active Banks: Does Scale Define the Winners?," World Scientific Book Chapters,in: The Future of Large, Internationally Active Banks, chapter 6, pages 77-96 World Scientific Publishing Co. Pte. Ltd..
    27. Ipatova, Irina, 2015. "The dynamics of total factor productivity and its components: Russian plastic production," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 21-40.
    28. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    29. Robert McKeown, 2017. "Where are the economies of scale in Canadian banking?," Working Papers 1380, Queen's University, Department of Economics.
    30. Thorsten Beck & Michael Fuchs & Dorothe Singer & Makaio Witte, 2014. "Making Cross-Border Banking Work for Africa," World Bank Publications, The World Bank, number 20248, December.
    31. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    32. Joseph P. Hughes & Loretta J. Mester, 2018. "The Performance of Financial Institutions: Modeling, Evidence, and Some Policy Implications," Departmental Working Papers 201805, Rutgers University, Department of Economics.
    33. Uluc Aysun, 2013. "Bank size and macroeconomic shock transmission: Are there economic volatility gains from shrinking large, too big to fail banks?," Working Papers 2013-02, University of Central Florida, Department of Economics.
    34. A. Wondemu Kifle, 2016. "Working Paper 237 - Decomposing Sources of Productivity Change in Small-Scale Farming in Ethiopia," Working Paper Series 2332, African Development Bank.
    35. Céline Meslier-Crouzille & Donald P. Morgan & Katherine Samolyk & Amine Tarazi, 2014. "The Benefits of Intrastate and Interstate Geographic Diversification in Banking," Working Papers hal-00950504, HAL.
    36. 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.
    37. Emmanuel Mamatzakis & M. Tsionas, 2018. "Decomposing global bank productivity growth: the role of non-performing loans, equity and technology," Working Paper series 18-41, Rimini Centre for Economic Analysis.
    38. Aysun, Uluc, 2016. "Bank size and macroeconomic shock transmission: Does the credit channel operate through large or small banks?," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 117-139.
    39. Hou, Xiaohui & Wang, Qing & Li, Cheng, 2015. "Role of off-balance sheet operations on bank scale economies: Evidence from China's banking sector," Emerging Markets Review, Elsevier, vol. 22(C), pages 140-153.
    40. Lijesen Mark G., 2013. "Solving the Endogeneity Problem in Empirical Cost Functions: An Application to US Banks," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(2), pages 1051-1070, September.
    41. Hryckiewicz, Aneta, 2014. "Originators, traders, neutrals, and traditioners – various banking business models across the globe. Does the business model matter for financial stability?," MPRA Paper 55118, University Library of Munich, Germany.
    42. Céline Meslier-Crouzille & Donald P. Morgan & Katherine Samolyk & Amine Tarazi, 2015. "The Benefits of Geographic Diversification in Banking," Working Papers hal-01155170, HAL.
    43. Kozubovska, Mariolia, 2017. "Breaking up big banks," Research in International Business and Finance, Elsevier, vol. 41(C), pages 198-219.
    44. Randall Kroszner, 2016. "A Review of Bank Funding Cost Differentials," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 151-174, June.
    45. 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.
    46. Asish Saha & Umakant Dash, 2016. "Consolidation in Indian banking: Does size matter?," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 223-238, September.
    47. 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.
    48. Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 32(4), pages 71-92.

  4. Apostolos Serletis & Guohua Feng, "undated". "Imposing Theoretical Regularity on Flexible Functional Forms," Working Papers 2013-11, Department of Economics, University of Calgary.

    Cited by:

    1. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.

  5. Guohua Feng & Apostolos Serletis, "undated". "Undesirable Outputs and a Primal Divisia Productivity Index Based on the Directional Output Distance Function," Working Papers 2013-15, Department of Economics, University of Calgary.

    Cited by:

    1. 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.
    2. Boussemart, Jean Philippe & Leleu, Hervé & Shen, Zhiyang, 2015. "Environmental growth convergence among Chinese regions," China Economic Review, Elsevier, vol. 34(C), pages 1-18.
    3. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios G., 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," MPRA Paper 64877, University Library of Munich, Germany.
    4. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    5. Huang, Tai-Hsin & Chung, Ming-Tai, 2017. "Do undesirables matter on the examination of banking efficiency using stochastic directional distance functions," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 194-211.
    6. Atkinson, Scott E. & Tsionas, Mike G., 2016. "Directional distance functions: Optimal endogenous directions," Journal of Econometrics, Elsevier, vol. 190(2), pages 301-314.
    7. Pang, Rui-Zhi & Deng, Zhong-Qi & Hu, Jin-li, 2015. "Clean energy use and total-factor efficiencies: An international comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1158-1171.

Articles

  1. 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.
    See citations under working paper version above.
  2. Apostolos Serletis & Guohua Feng, 2015. "Imposing Theoretical Regularity on Flexible Functional Forms," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 198-227, February.
    See citations under working paper version above.
  3. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
    See citations under working paper version above.
  4. 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. 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.
    3. 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.
    4. 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.
    5. Robert McKeown, 2017. "Costs, size and returns to scale among Canadian and U.S. commercial banks," Working Papers 1382, Queen's University, Department of Economics.
    6. 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.
    7. Robert McKeown, 2017. "Where are the economies of scale in Canadian banking?," Working Papers 1380, Queen's University, Department of Economics.
    8. 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.
    9. Veiga, Helena & Ramos, Sofía B. & Galán, Jorge, 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.

  5. Feng, Guohua & Serletis, Apostolos, 2013. "Public Infrastructure And Externalities In U.S. Manufacturing: Evidence From The Price-Augmenting Aim Cost Function," Macroeconomic Dynamics, Cambridge University Press, vol. 17(07), pages 1367-1410, October.

    Cited by:

    1. Bhattacharyya, Chandril, 2014. "A Note on Endogenous Growth with Public Capital," MPRA Paper 55728, University Library of Munich, Germany.

  6. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Galán, Jorge E. & Sarmiento, Miguel, 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.
    7. Robert McKeown, 2017. "Costs, size and returns to scale among Canadian and U.S. commercial banks," Working Papers 1382, Queen's University, Department of Economics.
    8. 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.
    9. 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.
    10. 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.
    11. Robert McKeown, 2017. "Where are the economies of scale in Canadian banking?," Working Papers 1380, Queen's University, Department of Economics.
    12. Miguel Sarmiento & Jorge E. Galán, 2015. "The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia," BORRADORES DE ECONOMIA 013254, BANCO DE LA REPÚBLICA.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Diego A. Restrepo-Tobón & Subal C. Kumbhakar & Kai Sun, 2013. "Are U.S. Commercial Banks Too Big?," DOCUMENTOS DE TRABAJO CIEF 010943, UNIVERSIDAD EAFIT.
    18. 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.
    19. Veiga, Helena & Ramos, Sofía B. & Galán, Jorge, 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. 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.

  7. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January. See citations under working paper version above.
  8. Feng, Guohua & Serletis, Apostolos, 2010. "A primal Divisia technical change index based on the output distance function," Journal of Econometrics, Elsevier, vol. 159(2), pages 320-330, December.
    See citations under working paper version above.
  9. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.

    Cited by:

    1. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    2. Stefano Caiazza & Alberto Franco Pozzolo & Giovanni Trovato, 2016. "Bank efficiency measures, M&A decision and heterogeneity," Journal of Productivity Analysis, Springer, vol. 46(1), pages 25-41, August.
    3. Kumbhakar, Subal C. & Lien, Gudbrand D. & Hardaker, J. Brian, 2011. "Technical efficiency in competing panel data models: A study of Norwegian grain farming," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114673, European Association of Agricultural Economists.
    4. 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.
    5. Tsionas, Mike G., 2017. "The profit function system with output- and input-specific technical efficiency," Economics Letters, Elsevier, vol. 151(C), pages 111-114.
    6. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    7. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    8. 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.
    9. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 9(1), pages 69-95, March.
    10. 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.
    11. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    12. 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.
    13. 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.
    14. Atkinson, Scott E. & Primont, Daniel & Tsionas, Mike G., 2018. "Statistical inference in efficient production with bad inputs and outputs using latent prices and optimal directions," Journal of Econometrics, Elsevier, vol. 204(2), pages 131-146.

  10. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.

    Cited by:

    1. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    2. Ali Jadidzadeh & Apostolos Serletis, "undated". "Sectoral Interfuel Substitution in Canada: An Application of NQ Flexible Functional Forms," Working Papers 2015-04, Department of Economics, University of Calgary, revised 13 Apr 2015.
    3. Zhang, Wei & Alston, Julian M., 2013. "Factor Substitution and Technical Change in the U.S. Dairy Processing and Manufacturing Industry," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150707, Agricultural and Applied Economics Association.
    4. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.
    5. Feng, Guohua & Serletis, Apostolos, 2010. "A primal Divisia technical change index based on the output distance function," Journal of Econometrics, Elsevier, vol. 159(2), pages 320-330, December.
    6. Jin, Hui & Jorgenson, Dale W., 2010. "Econometric modeling of technical change," Journal of Econometrics, Elsevier, vol. 157(2), pages 205-219, August.
    7. Apostolos Serletis & Guohua Feng, "undated". "Imposing Theoretical Regularity on Flexible Functional Forms," Working Papers 2013-11, Department of Economics, University of Calgary.
    8. 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.
    9. Kim, Jihyo & Heo, Eunnyeong, 2013. "Asymmetric substitutability between energy and capital: Evidence from the manufacturing sectors in 10 OECD countries," Energy Economics, Elsevier, vol. 40(C), pages 81-89.
    10. 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.
    11. Jorgenson, Dale W. & Jin, Hui & Slesnick, Daniel T. & Wilcoxen, Peter J., 2013. "An Econometric Approach to General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
    12. Serletis, Apostolos & Timilsina, Govinda R. & Vasetsky, Olexandr, 2010. "Interfuel substitution in the United States," Energy Economics, Elsevier, vol. 32(3), pages 737-745, May.
    13. Guy Chapda Nana & Bruno Larue, 2012. "Imposing Curvature Conditions on Flexible Functional Forms for GNP Functions," Cahiers de recherche CREATE 2012-5, CREATE.
    14. Chambers, Robert & Färe, Rolf & Grosskopf, Shawna & Vardanyan, Michael, 2013. "Generalized quadratic revenue functions," Journal of Econometrics, Elsevier, vol. 173(1), pages 11-21.
    15. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    16. Jiti Gao & Oliver Linton & Bin Peng, 2017. "Inference on a Semiparametric Model with Global Power Law and Local Nonparametric Trends," Monash Econometrics and Business Statistics Working Papers 10/17, Monash University, Department of Econometrics and Business Statistics.
    17. 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.
    18. Serletis, Apostolos & Timilsina, Govinda & Vasetsky, Olexandr, 2009. "On interfuel substitution : some international evidence," Policy Research Working Paper Series 5026, The World Bank.
    19. Simon Baptist & Cameron Hepburn, 2012. "Intermediate inputs and economic productivity," GRI Working Papers 95, Grantham Research Institute on Climate Change and the Environment.
    20. 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.
    21. Hussain, Jakir & Bernard, Jean-Thomas, 2017. "Regional productivity convergence: An analysis of the pulp and paper industries in U.S., Canada, Finland, and Sweden," Journal of Forest Economics, Elsevier, vol. 28(C), pages 49-62.
    22. Jakir Hussain & Jean-Thomas Bernard, 2016. "Flexible Functional Forms and Curvature Conditions: Parametric Productivity Estimation in Canadian and U.S. Manufacturing Industries," Working Papers 1612e, University of Ottawa, Department of Economics.
    23. Serletis, Apostolos & Timilsina, Govinda & Vasetsky, Olexandr, 2011. "International evidence on aggregate short-run and long-run interfuel substitution," Energy Economics, Elsevier, vol. 33(2), pages 209-216, March.
    24. Joseph Plasmans, 2011. "Productivity and Competition from a Global Point of View," Chapters,in: The Handbook of Globalisation, Second Edition, chapter 14 Edward Elgar Publishing.
    25. Jakir Hussain & Jean-Thomas Bernard, 2017. "Regional Productivity Convergence: An Analysis of the Pulp and Paper Industries in U.S., Canada, Finland and Sweden," Working Papers 1701E, University of Ottawa, Department of Economics.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 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 & Productivity (5) 2009-07-17 2010-04-17 2013-09-28 2015-05-02 2016-04-04. Author is listed
  2. NEP-BAN: Banking (2) 2009-07-17 2015-05-02
  3. NEP-ECM: Econometrics (1) 2015-05-02

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Guohua Feng should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.