Faculty Profile

Myungsup Kim

Myungsup Kim

Title
Associate Professor
Department
Economics
College
College of Liberal Arts and Social Sciences

    

Education

PhD, Michigan State University, 2005.
Major: Economics
BA, Yonsei University, 1998.
Major: Economics

Current Scheduled Teaching*

ECON 5650.001, Advanced Econometrics, Spring 2024
ECON 4870.001, Introduction to Econometrics, Spring 2024 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 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 5655.001, Econometric Analysis of Panel Data, Fall 2023 SPOT
ECON 4870.001, Introduction to Econometrics, Fall 2023 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2023 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2023 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2023 Syllabus SPOT
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2022 SPOT
ECON 4870.001, Introduction to Econometrics, Fall 2022 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2022 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2022 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2022 Syllabus SPOT
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2021 SPOT
ECON 4870.001, Introduction to Econometrics, Fall 2021 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2021 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2021 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2021 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Spring 2021 SPOT
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2020 SPOT
ECON 4870.001, Introduction to Econometrics, Fall 2020 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2020 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2020
ECON 4870.001, Introduction to Econometrics, Spring 2020 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 2020
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2019 SPOT
ECON 4870.001, Introduction to Econometrics, Fall 2019 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2019 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2019 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2019 Syllabus SPOT
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2018 SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2018 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2018 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2018 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Spring 2018 SPOT
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2017 SPOT
ECON 4870.001, Introduction to Econometrics, Fall 2017 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Fall 2017 SPOT
ECON 5650.001, Advanced Econometrics, Spring 2017 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2017 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Spring 2017 SPOT
ECON 5900.718, Special Problems, Spring 2017
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2016 SPOT
ECON 4630.002, Research Methods for Economists, Fall 2016 Syllabus SPOT
ECON 5650.001, Advanced Econometrics, Spring 2016 SPOT
ECON 4870.001, Introduction to Econometrics, Spring 2016 Syllabus SPOT
ECON 5640.001, Multivariate Regression Analysis, Spring 2016 SPOT
ECON 5900.718, Special Problems, Spring 2016
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2015 SPOT
ECON 4630.002, Research Methods for Economists, Fall 2015 Syllabus SPOT
ECON 4900.718, Special Problems, Fall 2015
ECON 5650.001, Advanced Econometrics, Spring 2015
ECON 4870.001, Introduction to Econometrics, Spring 2015 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 2015
ECON 4900.718, Special Problems, Spring 2015
ECON 5900.718, Special Problems, Spring 2015
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2014
ECON 4900.718, Special Problems, Fall 2014
ECON 5650.001, Advanced Econometrics, Spring 2014
ECON 4870.001, Introduction to Econometrics, Spring 2014 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 2014
ECON 4900.718, Special Problems, Spring 2014
ECON 5650.001, Advanced Econometrics, Spring 2013
ECON 4870.001, Introduction to Econometrics, Spring 2013 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 2013
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2012
ECON 4870.002, Introduction to Econometrics, Fall 2012 Syllabus
ECON 5640.002, Multivariate Regression Analysis, Fall 2012
ECON 5650.001, Advanced Econometrics, Spring 2012
ECON 4870.001, Introduction to Econometrics, Spring 2012 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 2012
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2011
ECON 4870.002, Introduction to Econometrics, Fall 2011 Syllabus
ECON 5640.002, Multivariate Regression Analysis, Fall 2011
ECON 5650.001, Advanced Econometrics, Spring 2011
ECON 4870.001, Introduction to Econometrics, Spring 2011 Syllabus
ECON 5640.001, Multivariate Regression Analysis, Spring 2011
ECON 5900.718, Special Problems, Spring 2011
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2010
ECON 5630.001, Research Methods, Fall 2010
ECON 4630.001, Research Methods for Economists, Fall 2010 Syllabus
ECON 4870.001, Introduction to Econometrics, Spring 2010
ECON 5640.001, Multivariate Regression Analysis, Spring 2010
ECON 5630.001, Research Methods, Spring 2010
ECON 4630.001, Research Methods for Economists, Spring 2010
ECON 5655.002, Econometric Analysis of Panel Data, Fall 2009
ECON 5630.001, Research Methods, Fall 2009
ECON 4630.001, Research Methods for Economists, Fall 2009
ECON 4870.001, Introduction to Econometrics, Spring 2009
ECON 5640.001, Multivariate Regression Analysis, Spring 2009
ECON 5630.001, Research Methods, Spring 2009
ECON 4630.001, Research Methods for Economists, Spring 2009
ECON 5655.001, Econometric Analysis of Panel Data, Fall 2008
ECON 5630.001, Research Methods, Fall 2008
ECON 4630.001, Research Methods for Economists, Fall 2008
ECON 4870.001, Introduction to Econometrics, Spring 2008
ECON 5640.001, Multivariate Regression Analysis, Spring 2008
ECON 5630.001, Research Methods, Spring 2008
ECON 4630.001, Research Methods for Economists, Spring 2008
ECON 5630.001, Research Methods, Fall 2007
ECON 4630.001, Research Methods for Economists, Fall 2007
ECON 5050.003, Seminar on Contemporary Economic Problems, Fall 2007
ECON 4870.001, Introduction to Econometrics, Spring 2007
ECON 5640.001, Multivariate Regression Analysis, Spring 2007
ECON 5630.001, Research Methods, Spring 2007
ECON 4630.001, Research Methods for Economists, Spring 2007
ECON 4870.002, Introduction to Econometrics, Fall 2006
ECON 5630.002, Research Methods, Fall 2006
ECON 5630.792, Research Methods, Fall 2006
ECON 4630.002, Research Methods for Economists, Fall 2006
ECON 5000.001, Economic Concepts, Summer 5W1 2006
ECON 4900.718, Special Problems, Summer 5W1 2006
ECON 4870.001, Introduction to Econometrics, Spring 2006
ECON 5640.001, Multivariate Regression Analysis, Spring 2006
ECON 5630.002, Research Methods, Spring 2006
ECON 4630.002, Research Methods for Economists, Spring 2006
ECON 4870.002, Introduction to Econometrics, Fall 2005
ECON 4630.002, Research Methods for Economists, Fall 2005

* 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 Publications

Published Intellectual Contributions

Book Chapter
Chao, J., Kim, M., Sul, D. (2014). Mean Average Estimation of Dynamic Panel Models with Nonstationary Initial Condition. Other. 33, 241-279.
Journal Article
Gharoie Ahangar, R., Kim, M. (2022). The Impact of COVID-19 Shocks on Business and GDP of Global Economy. American Business Review. 25(2), 244-270.
Bae, S., Kim, M., Yoo, K. (2018). The Effect of Piracy and Digital Rights Management on the Vertically Related Content Industries. Review of Network Economics. 16(1), 1 - 26.
McPherson, M. A., Kim, M., Dorman, M., Perera, N. (2013). Research Output at U.S. Economics Departments. Applied Economics Letters. 20(9), 889-892.
Harllee, B., Kim, M., Nieswiadomy, M. L. (2009). "Political Influence on Historical ESA Listings by State: A Count Data Analysis". Public Choice. 140(1-2), 390-401.
McPherson, M. A., Jewell, T., Kim, M. (2009). What Determines Student Evaluation Scores? A Random Effects Analysis of Undergraduate Economics Classes. Eastern Economic Journal. 35, 37-51.
Kim, M., Schmidt, P. (2008). Valid Tests of Whether Technical Efficiency Depends on Firm Characteristics. Journal of Econometrics. 144, 409-427.
Kim, M., Kim, Y., Schmidt, P. (2007). On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data. Journal of Productivity Analysis. 28, 165-181.

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Zhou, Y. (Principal), Carroll, M. C., Jiang, H., Kim, M., Rous, J. J., Yang, X., "Team Mentoring Grant," University of North Texas, $5000 Funded. (20212022).
Kim, M. (Other), "Indicator KPSS Test with a Time Trend," Sponsored by University of North Texas, Research Initiation Grant, University of North Texas, $3000 Funded. (January 2006August 2006).
,
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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