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Margie A. Tieslau

Title: Associate Professor

Department: Economics

College: College of Liberal Arts and Social Sciences

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Michigan State University, 1992
    Major: Economics
    Dissertation: Strongly Dependent Economic Time Series: Theory and Applications
  • MA, University of Delaware, 1988
    Major: Economics
  • BS, University of Delaware, 1986
    Major: Economics

Current Scheduled Teaching

ECON 5670.001Applied EconometricsFall 2024 Syllabus

Previous Scheduled Teaching

ECON 4875.001Empirical Linear ModelingSpring 2024 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2024 Syllabus SPOT
ECON 5660.001Time Series Econometrics and ForecastingSpring 2024 Syllabus SPOT
ECON 5670.001Applied EconometricsFall 2023 SPOT
ECON 4875.001Empirical Linear ModelingSpring 2023 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2023 SPOT
ECON 5900.721Special ProblemsSpring 2023
ECON 5660.001Time Series Econometrics and ForecastingSpring 2023 SPOT
ECON 5670.001Applied EconometricsFall 2022 SPOT
ECON 5645.001Empirical Linear ModelingSpring 2022 Syllabus SPOT
ECON 5660.001Time Series Econometrics and ForecastingSpring 2022 Syllabus SPOT
ECON 5670.001Applied EconometricsFall 2021 Syllabus SPOT
ECON 4875.001Empirical Linear ModelingSpring 2021 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2021 Syllabus SPOT
ECON 5660.001Time Series Econometrics and ForecastingSpring 2021 Syllabus SPOT
ECON 5670.001Applied EconometricsFall 2020 Syllabus SPOT
ECON 5900.021Special ProblemsSummer 3W1 2020
ECON 4875.001Empirical Linear ModelingSpring 2020 Syllabus
ECON 5645.001Empirical Linear ModelingSpring 2020 Syllabus
ECON 5900.021Special ProblemsSpring 8W2 2020
ECON 5660.001Time Series Econometrics and ForecastingSpring 2020
ECON 5670.001Applied EconometricsFall 2019 Syllabus SPOT
ECON 4875.001Empirical Linear ModelingSpring 2019 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2019 SPOT
ECON 5660.001Time Series Econometrics and ForecastingSpring 2019 SPOT
ECON 5670.001Applied EconometricsFall 2018 SPOT
ECON 4875.001Empirical Linear ModelingSpring 2018 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2018 SPOT
ECON 5660.001Time Series Econometrics and ForecastingSpring 2018 SPOT
ECON 5670.001Applied EconometricsFall 2017 SPOT
ECON 5900.721Special ProblemsSummer 10W 2017
ECON 4030.001Economic Cycles and ForecastingSpring 2017 Syllabus SPOT
ECON 4875.001Empirical Linear ModelingSpring 2017 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2017 SPOT
ECON 5900.721Special ProblemsSpring 2017
ECON 5660.001Time Series Econometrics and ForecastingSpring 2017 SPOT
ECON 4030.001Economic Cycles and ForecastingSpring 2016 Syllabus SPOT
ECON 4875.001Empirical Linear ModelingSpring 2016 Syllabus SPOT
ECON 5645.001Empirical Linear ModelingSpring 2016 SPOT
ECON 5660.001Time Series Econometrics and ForecastingSpring 2016 SPOT
ECON 5670.001Applied EconometricsFall 2015 SPOT
ECON 4870.001Introduction to EconometricsFall 2015 Syllabus SPOT
ECON 5640.001Multivariate Regression AnalysisFall 2015 SPOT
ECON 5900.721Special ProblemsSummer 5W2 2015
ECON 4030.001Economic Cycles and ForecastingSpring 2015 Syllabus
ECON 4875.001Empirical Linear ModelingSpring 2015 Syllabus
ECON 5645.001Empirical Linear ModelingSpring 2015
ECON 5900.721Special ProblemsSpring 2015
ECON 5660.001Time Series Econometrics and ForecastingSpring 2015
ECON 5670.001Applied EconometricsFall 2014
ECON 4870.001Introduction to EconometricsFall 2014 Syllabus
ECON 5640.001Multivariate Regression AnalysisFall 2014
ECON 4030.001Economic Cycles and ForecastingSpring 2014 Syllabus
ECON 4875.001Empirical Linear ModelingSpring 2014 Syllabus
ECON 5645.001Empirical Linear ModelingSpring 2014
ECON 5660.001Time Series Econometrics and ForecastingSpring 2014
ECON 5670.001Applied EconometricsFall 2013
ECON 4870.001Introduction to EconometricsFall 2013 Syllabus
ECON 5640.001Multivariate Regression AnalysisFall 2013
ECON 4030.001Economic Cycles and ForecastingSpring 2013 Syllabus
ECON 4875.001Empirical Linear ModelingSpring 2013 Syllabus
ECON 5645.001Empirical Linear ModelingSpring 2013
ECON 5900.721Special ProblemsSpring 2013
ECON 5660.001Time Series Econometrics and ForecastingSpring 2013
ECON 5670.001Applied EconometricsFall 2012
ECON 4870.001Introduction to EconometricsFall 2012 Syllabus
ECON 5640.001Multivariate Regression AnalysisFall 2012
ECON 5900.721Special ProblemsSummer 5W2 2012
ECON 4030.001Economic Cycles and ForecastingSpring 2012 Syllabus
ECON 4875.001Empirical Linear ModelingSpring 2012 Syllabus
ECON 5645.001Empirical Linear ModelingSpring 2012
ECON 5660.001Time Series Econometrics and ForecastingSpring 2012
ECON 5670.001Empirical EconometricsFall 2011
ECON 4870.001Introduction to EconometricsFall 2011
ECON 5640.001Multivariate Regression AnalysisFall 2011
ECON 5900.721Special ProblemsFall 2011
ECON 5950.721Master's ThesisSummer 5W1 2011
ECON 4030.001Economic Cycles and ForecastingSpring 2011 Syllabus
ECON 4875.001Empirical Linear ModelingSpring 2011 Syllabus
ECON 5645.001Empirical Linear ModelingSpring 2011
ECON 5950.721Master's ThesisSpring 2011
ECON 5660.001Time Series Econometrics and ForecastingSpring 2011
ECON 5670.001Empirical EconometricsFall 2010
ECON 4870.001Introduction to EconometricsFall 2010 Syllabus
ECON 4870.002Introduction to EconometricsFall 2010 Syllabus
ECON 5950.721Master's ThesisFall 2010
ECON 5640.001Multivariate Regression AnalysisFall 2010
ECON 5640.002Multivariate Regression AnalysisFall 2010
ECON 5900.721Special ProblemsFall 2010
ECON 5900.721Special ProblemsSummer 5W1 2010
ECON 5650.001Advanced EconometricsSpring 2010
ECON 4030.001Economic Cycles and ForecastingSpring 2010
ECON 4875.001Empirical Linear ModelingSpring 2010
ECON 5645.001Empirical Linear ModelingSpring 2010
ECON 5900.721Special ProblemsSpring 2010
ECON 5660.001Time Series Econometrics and ForecastingSpring 2010
ECON 4870.001Introduction to EconometricsFall 2009
ECON 4870.002Introduction to EconometricsFall 2009
ECON 5640.001Multivariate Regression AnalysisFall 2009
ECON 5640.002Multivariate Regression AnalysisFall 2009
ECON 5900.721Special ProblemsFall 2009
ECON 5670.001Topics in Empirical EconometricsFall 2009
ECON 5900.721Special ProblemsSummer 5W1 2009
ECON 5650.001Advanced EconometricsSpring 2009
ECON 4875.001Empirical Linear ModelingSpring 2009
ECON 5645.001Empirical Linear ModelingSpring 2009
ECON 4900.721Special ProblemsSpring 2009
ECON 5900.721Special ProblemsSpring 2009
ECON 5660.001Time Series Econometrics and ForecastingSpring 2009
ECON 4870.001Introduction to EconometricsFall 2008
ECON 4870.002Introduction to EconometricsFall 2008
ECON 5640.001Multivariate Regression AnalysisFall 2008
ECON 5640.002Multivariate Regression AnalysisFall 2008
ECON 4900.721Special ProblemsFall 2008
ECON 5900.721Special ProblemsFall 2008
ECON 5670.001Topics in Empirical EconometricsFall 2008
ECON 5900.721Special ProblemsSummer 5W2 2008
ECON 5900.721Special ProblemsSummer 10W 2008
ECON 5900.721Special ProblemsSummer 5W1 2008
ECON 5650.001Advanced EconometricsSpring 2008
ECON 4875.001Empirical Linear ModelingSpring 2008
ECON 5645.001Empirical Linear ModelingSpring 2008
ECON 4900.721Special ProblemsSpring 2008
ECON 5900.721Special ProblemsSpring 2008
ECON 5660.001Time Series Econometrics and ForecastingSpring 2008
ECON 4870.001Introduction to EconometricsFall 2007
ECON 4870.003Introduction to EconometricsFall 2007
ECON 5640.001Multivariate Regression AnalysisFall 2007
ECON 5640.003Multivariate Regression AnalysisFall 2007
ECON 5900.721Special ProblemsFall 2007
ECON 5670.001Topics in Empirical EconometricsFall 2007
ECON 5900.721Special ProblemsSummer 5W1 2007
ECON 5900.721Special ProblemsSummer 5W2 2007
ECON 5650.001Advanced EconometricsSpring 2007
ECON 4875.001Empirical Linear ModelingSpring 2007
ECON 5645.001Empirical Linear ModelingSpring 2007
ECON 4900.721Special ProblemsSpring 2007
ECON 5900.721Special ProblemsSpring 2007
ECON 5660.001Time Series Econometrics and ForecastingSpring 2007
ECON 4870.001Introduction to EconometricsFall 2006
ECON 5640.001Multivariate Regression AnalysisFall 2006
ECON 5900.721Special ProblemsFall 2006
ECON 5670.001Topics in Empirical EconometricsFall 2006
ECON 4875.001Empirical Linear ModelingSummer 5W1 2006
ECON 5645.001Empirical Linear ModelingSummer 5W1 2006
ECON 5900.721Special ProblemsSummer 5W2 2006
ECON 5650.001Advanced EconometricsSpring 2006
ECON 4900.721Special ProblemsSpring 2006
ECON 5900.721Special ProblemsSpring 2006
ECON 5660.001Time Series Econometrics and ForecastingSpring 2006
ECON 4870.001Introduction to EconometricsFall 2005
ECON 5640.001Multivariate Regression AnalysisFall 2005
ECON 5900.721Special ProblemsFall 2005
ECON 5670.001Topics in Empirical EconometricsFall 2005
ECON 4875.001Empirical Linear ModelingSummer 5W1 2005
ECON 5645.001Empirical Linear ModelingSummer 5W1 2005
ECON 5900.721Special ProblemsSummer 5W2 2005
ECON 5900.721Special ProblemsSummer 5W1 2005
ECON 5650.001Advanced EconometricsSpring 2005
ECON 5660.001Economic ForecastingSpring 2005
ECON 4900.721Special ProblemsSpring 2005
ECON 4870.001Introduction to EconometricsFall 2004
ECON 5640.001Multivariate Regression AnalysisFall 2004
ECON 5900.721Special ProblemsFall 2004
ECON 5670.002Topics in Empirical EconometricsFall 2004

Published Intellectual Contributions

    Book Chapter

  • Im, K., Lee, J., Tieslau, M.A. (2014). "More Powerful LM Unit Root Tests with Non-normal Errors". Festschrift in Honor of Peter Schmidt. 2 Springer.
  • Im, K., Lee, J., Tieslau, M.A. (2014). "More Powerful Unit Root Tests with Non-normal Errors". Festschrift in Honor of Peter Schmidt. 1 Springer.
  • Conference Proceeding

  • Sun, Q., Paswan, A.K., Tieslau, M.A. (2010). Country Resources, Country Image, and Export Performance: A Panel Data Analysis.
  • Journal Article

  • Tieslau, M.A., Barrett, M., Lee, J. Gender and Racial Gaps in US Incarceration Rates.
  • Barrett, M., Lee, J., Tieslau, M.A. "Are Incarceration Rates in the US Converging?: An Empirical Analysis,". Journal of Quantitative Criminology.
  • Tieslau, M.A. A Time Series Analysis of NFL Quarterbacks’ Pass Completion Rates and the ‘Deflategate Hypothesis’.
  • Douglass, C., Tieslau, M.A. A Time Series Analysis of the Impact of Sports Stadiums on Macroeconomic Variables.
  • Al-Shammasi, N., Tripathy, N., Tieslau, M.A. The Limits of Arbitrage and Stock Mispricing: Evidence from Decomposing the Market to Book Ratio.
  • Islam, M., Nazlioglu, S., Lee, J., , M.A. The Prebisch-Singer Hypothesis with Comovements and Structural Changes. Journal of Environmental Economics and Management.
  • Nazlioglu, S., Lee, J., Karul, C., Tieslau, M.A., Yoo, Y. Smooth Structural Changes and Common Factors in Nonstationary Panel Data: An Analysis of Healthcare Expenditures. Econometric Reviews. December 2022
  • Lee, J., Tieslau, M.A. (2019). Panel LM Unit Root Tests with Level and Trend Shifts (Voted the winner of the “Best Paper Award” for papers published in 2019.). Economic Modelling. 80 (3) 1 - 10.
  • Nieswiadomy, M.L., Tieslau, M.A. Testing for Convergence in Male and Female Labor Force Participation Rates.
  • Rogers, N., Karafiath, I., Tieslau, M.A. (2018). Significant Alphas in Real Estate Funds: An Econometrics Analysis. Journal of Real Estate Portfolio Management.
  • McPherson, M.A., Tieslau, M.A. (2017). Bridging the Gap Between Town and Gown: A New Way to Integrate Community Service and Classroom Learning. Journal of Non-Profit Education and Leadership. 7 (3) 237-240.
  • Sun, Q., Paswan, A.K., Tieslau, M.A. (2016). Country Resources, Institutions, Image and Exports: Country Branding Implications. Journal of Global Marketing. 29 (4) 233-246.
  • Jewell, R.T., McPherson, M.A., Tieslau, M.A. (2013). Whose Fault Is It? Assigning Blame for Grade Inflation in Higher Education. Applied Economics. 45 (9) 1185-1200. http://www.tandfonline.com/loi/raec20#.VqAHW_krJD8
  • Im, K., Lee, J., Tieslau, M.A. (2005). "Panel LM Unit Root Tests with Level Shifts". Oxford Bulletin of Economics and Statistics. 67 393-419.
  • Jewell, T., Lee, J., Tieslau, M.A., Strazicich, M. (2003). "Stationarity of Health Expenditures: A Re-examination Using Panel Unit Root Tests with Heterogeneous Structural Breaks". Journal of Health Economics. 22 313-323.
  • McPherson, M.A., Redfearn, M.R., Tieslau, M.A. (2001). International Trade and Developing Countries: An Empirical Investigation of the Linder Hypothesis. Applied Economics. 33 (5) 649-657.
  • Redfearn, M., Tieslau, M.A. (2000). "Stable Real Exchange Rates and the Choice of Price Indices: Historical Evidence from the 1920s". Southwestern Journal of Economics. 3 (1) 60-84.
  • Bails, D., Tieslau, M.A. (2000). "The Impact of Fiscal Constitution on State and Local Government Expenditures". Cato Journal. 20 (2) 255-277.
  • McPherson, M.A., Redfearn, M.R., Tieslau, M.A. (2000). A Re-Examination of the Linder Hypothesis: A Random Effects Tobit Approach. International Economic Journal. 14 (3) 123-136.
  • Cobb, S.L., Barker, T., Tieslau, M. (1999). "Economic Development and Plant Location: Lessons Learned". Southwestern Journal of Economics. 2 (3)
  • Rasche, R., Tieslau, M.A. (1999). "Uncovered Interest Parity and Long-Run Money Demand in Canada and the US". Other. 25 (2) 17-33.
  • Tieslau, M.A., Schmidt, P., Baillie, R. (1996). "A Minimum Distance Estimator for Long-Memory Time Series". Journal of Econometrics. 71 (1-2) 249-264.
  • Baillie, R., Chung, C., Tieslau, M.A. (1996). "Analyzing Inflation by the Fractionally Integrated ARFIMA-GARCH Model". Journal of Applied Econometrics. 11 (1) 23-40.
  • Hoffman, D., Rasche, R., Tieslau, M.A. (1995). "The Stability of Long-run Money Demand in Five Industrial Countries". Journal of Monetary Economics. 35 (2) 317-340.

Contracts, Grants and Sponsored Research

    Grant - Research

  • McPherson, M.A. (Principal), Tieslau, M.A. (Supporting), "Addressing the Needs of Denton's Homeless and Hungry: A Collaboration Between the University of North Texas and Our Daily Bread," sponsored by University of North Texas, Local, $7000 Funded. (2014 - 2014).
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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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