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Guohua Feng

Title: Professor

Department: Economics

College: College of Liberal Arts and Social Sciences

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Calgary, 2008
    Major: Economics

Current Scheduled Teaching

ECON 4630.002Data Analysis in EconomicsSpring 2025
ECON 5330.001Advanced Macroeconomic TheoryFall 2024
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching

ECON 4630.002Research Methods for EconomistsSpring 2024 Syllabus SPOT
ECON 5330.001Advanced Macroeconomic TheoryFall 2023 SPOT
ECON 4630.002Research Methods for EconomistsSpring 2023 Syllabus SPOT
ECON 5330.001Advanced Macroeconomic TheoryFall 2022 SPOT
ECON 4630.002Research Methods for EconomistsSpring 2022 Syllabus SPOT
ECON 5330.001Advanced Macroeconomic TheoryFall 2021 SPOT
ECON 5330.001Advanced Macroeconomic TheoryFall 2020 SPOT
ECON 4630.002Research Methods for EconomistsSpring 2020 Syllabus
ECON 5900.717Special ProblemsSpring 2020
ECON 5330.001Advanced Macroeconomic TheoryFall 2019 SPOT
ECON 5630.002Research MethodsSpring 2019 SPOT
ECON 4630.002Research Methods for EconomistsSpring 2019 Syllabus SPOT
ECON 5900.720Special ProblemsSpring 2019
ECON 5330.001Advanced Macroeconomic TheoryFall 2018 SPOT
ECON 4630.002Research Methods for EconomistsSpring 2018 Syllabus SPOT
ECON 5900.725Special ProblemsSpring 2018
ECON 5330.001Advanced Macroeconomic TheoryFall 2017 SPOT
ECON 5400.001Advanced Monetary Theory and PolicySpring 2017 SPOT
ECON 5900.725Special ProblemsSpring 2017
ECON 5330.001Advanced Macroeconomic TheoryFall 2016 SPOT
ECON 4870.002Introduction to EconometricsFall 2016 Syllabus SPOT
ECON 5640.002Multivariate Regression AnalysisFall 2016 SPOT
ECON 5400.001Advanced Monetary Theory and PolicySpring 2016 SPOT
ECON 5900.725Special ProblemsSpring 2016
ECON 5330.001Advanced Macroeconomic TheoryFall 2015 SPOT
ECON 4870.002Introduction to EconometricsFall 2015 Syllabus SPOT
ECON 5640.002Multivariate Regression AnalysisFall 2015 SPOT
ECON 4870.001Introduction to EconometricsSummer 5W2 2015 SPOT
ECON 5400.001Advanced Monetary Theory and PolicySpring 2015
ECON 5330.001Advanced Macroeconomic TheoryFall 2014
ECON 4870.002Introduction to EconometricsFall 2014 Syllabus
ECON 5640.002Multivariate Regression AnalysisFall 2014
ECON 5400.001Advanced Monetary Theory and PolicySpring 2014
ECON 5900.725Special ProblemsSpring 2014
ECON 5330.001Advanced Macroeconomic TheoryFall 2013
ECON 4870.002Introduction to EconometricsFall 2013 Syllabus
ECON 5640.002Multivariate Regression AnalysisFall 2013
ECON 5400.001Advanced Monetary Theory and PolicySpring 2013
ECON 5330.001Advanced Macroeconomic TheoryFall 2012
ECON 5330.001Advanced Macroeconomic TheorySpring 2012
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Intellectual Contributions

    Journal Article

  • Feng, G., Peng, B., Gao, J. (2022). An Integrated Panel Data Approach to Modelling Economic Growth. Journal of Econometrics. (tier 1) 228 379-397.
  • Feng, G., McLaren, K., Yang, O., Zhang, X., Zhao, X. (2021). The Impact of Environmental Policy Stringency on Industrial Productivity Growth: A Semiparametric Study of OECD Countries. Energy Economics. (tier 1) 100 1-17.
  • Feng, G., Wang, C. (2020). Determinants of Profitability of Community Banks in the U.S.: A Cost Frontier Based Decomposition Approach. Empirical Economics. (tier 2) 60 2969–2992.
  • Feng, G., Su, L., Peng, B. (2019). Semiparametric Single-Index Panel Data Models with Interactive Fixed Effects: Theory and Practice. Journal of Econometrics. (Premier Tier) 212 (2) 607-622.
  • Feng, G., Wang, C., Zhang, X. (2019). Estimation of Inefficiency in Stochastic Frontier Models: A Bayesian Kernel Approach. Journal of Productivity Analysis. (Tier 2) 51 (1) 1-19.
  • Feng, G., Wang, C. (2018). Why European banks are less profitable than U.S. banks: A decomposition approach. Journal of Banking and Finance. 90 (May) 1-16.
  • Feng, G., Gao, J., Peng, B., Zhang, X. (2017). A Varying-Coefficient Panel Data Model with Fixed Effects: Theory and an Application to US Commercial Banks. Journal of Econometrics. 196 68-82.
  • Feng, G., Peng, B., Zhang, X. (2017). Productivity and Efficiency at Bank Holding Companies in the US: A Time-varying Heterogeneity Approach. Journal of Productivity Analysis. 48 (2-3) 179-192.
  • Feng, G., Wang, C., Serletis, A. (2017). Shadow prices of CO2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach. Other. 2018 (1)
  • Feng, G., Serletis, A. (2015). Imposing Theoretical Regularity on Flexible Functional Forms. Econometric Reviews. 34 198-227.
  • Feng, G., Zhang, X. (2014). Returns to scale at large banks in the U.S.: A random coefficient stochastic frontier approach.. Journal of Banking and Finance. 39 135-145.
  • Feng, G., Serletis, A. (2013). Public Infrastructure and Externalities in U.S. Manufacturing: Evidence from the Price Augmenting AIM Cost Function. Macroeconomics Dynmaics. 17 1367-1410.
  • Feng, G., Zhang, X. (2012). Productivity and Efficiency at Large and Community Banks in the U.S.: A Bayesian True Random Effects Stochastic Distance Frontier Analysis. Journal of Banking and Finance. 36 1883-1895.
  • Feng, G., Serletis, A. (2010). A Primal Divisia Technical Change Index Based on the Output Distance Function. Journal of Econometrics. 159 320-330.
  • Feng, G., Serletis, A. (2010). Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity. Journal of Banking and Finance. 34 127-138.
  • Feng, G., Serltis, A. (2009). Efficiency and Productivity of the US Banking Industry, 1998-2005: Evidence from the Fourier Frontier Function Satisfying Global Regularity Condition. Journal of Applied Econometrics. 24 105-138.
  • Feng, G., Serletis, A. (2009). Semi-Nonparametric Estimates of Currency Substitution Between the Canadian Dollar and the U.S. Dollar. Macroeconomics Dynmaics. 14 29-55.
  • Feng, G., Serletis, A. (2008). Productivity Trends in U.S. Manufacturing: Evidence from the NQ and AIM Cost Functions. Journal of Econometrics. 142 281-311.
  • Feng, G., Serletis, A. (2007). Productivity and Convergence Trends in the OECD: Evidence from a Normalized Quadratic Variable Profit Function. Other. 18 85-106.
  • Feng, G., Serletis, A. (2006). Productivity Trends in the United States. Journal of Economic Studies. 33 320-335.

Contracts, Grants and Sponsored Research

    Grant - Research

  • Feng, G. (Principal), "Carbon pricing and its impacts on the productivity growth of Australian industries," sponsored by Australian Research Council, International, $200000 Funded. (2012 - 2015).
  • Feng, G. (Co-Principal), "Financial development, Liberalisation and Productivity Growth," sponsored by Australian Research Council, International, $360000 Funded. (2010 - 2013).
  • Feng, G. (Principal), "Emission Trading and Productivity Growth in Australia," sponsored by Monash University, International, $90000 Funded. (2011 - 2012).
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Overall
Summative Rating		 Challenge and
Engagement Index		 Response Rate

out of 5
out of 7		 %
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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