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Levent Kutlu

Name

[Kutlu, Levent]
  • Visiting Assistant Professor, Department of Economics
 COBA 326
Last Updated: April 21, 2019

Biography

Levent Kutlu is a visiting assistant professor in the Economics Department. He received his BSc in mathematics from Bogazici University (Istanbul, Turkey), his MSc in economics from Istanbul Bilgi University (Istanbul, Turkey), and MStat in statistics and PhD in economics from Rice University. His teaching and research interests include applied econometrics and industrial organization. His specific interests are productivity analysis (Stochastic Frontier Analysis) and market power analysis. Most resently he is interested in applications of machine learning to stock trading. At the moment his favorite programming language is Matlab.

Appointments

    • Aug 2018 to Present Visiting Assistant Professor
      University of Texas at Arlington
    • Aug 2016 to May 2018 Visiting Assistant Professor
      Georgia Institute of Technology
    • Sept 2015 to Dec 2017 Assistant Professor
      Antalya International University
    • Aug 2011 to June 2015 Assistant Professor
      Georgia Institute of Technology
    • Aug 2010 to May 2011 Visiting Assistant Professor
      Georgia Institute of Technology

Research and Expertise

  • Applied Econometrics

    In the area of applied econometrics I am mostly interested in stochastic frontier analysis (efficiency measurement) and panel data. I not only develop econometric tools but also work on related empirical projects.
     

  • Industrial Organization

    In this area, I have been working on issues related to price discrimination and market power.

Publications

      Journal Article Accepted

      • Karakaplan, M.U. and Kutlu, L. (2018), Estimating Market Power Using a Composed Error Model, Forthcoming in Scottish Journal of Political Economy.

        {Journal Article }
      Accepted

      • Kutlu, L., Tran, K., and Tsionas, E.G. (2019), A Time-Varying True Individual Effects Model with Endogenous Regressors, Forthcoming in Journal of Econometrics.

        {Journal Article }
      Accepted

      • Kutlu, L. and Nair-Reichert, U. (2019), Agglomeration Effects and Spatial Spillovers in Efficiency Analysis – A Distribution-Free Methodology, Forthcoming in Regional Studies.

        {Journal Article }

      Book Chapter Accepted

      • Bhattacharyya, A., Kutlu, L., and Sickles, R.C., Pricing Inputs and Outputs: Market Prices versus Shadow Prices, Market power, and Welfare Analysis, Palgrave Handbook of Economic Performance Analysis, Edited by Bill Greene and Thijs ten Raa, Forthcoming.

        {Book Chapter }
      Accepted

      • Kutlu, L., Liu, S., and Sickles, R.C., Cost, Revenue, and Profit Function Estimates, Handbook of Production Economics Volume I Edited by Subhash C. Ray, Robert G. Chambers, and Subal C. Kumbhakar (Springer), Forthcoming.

        {Book Chapter }
      Accepted

      • Kutlu, L. and Tran, K.C., Heterogeneity and Endogeneity in Panel Stochastic Frontier Models,
        Panel Data Econometrics, Volume 1: Theory, Edited by Mike G. Tsionas (Elsevier),
        Forthcoming.

        {Book Chapter }
      Accepted

      • Garcia, D., Kutlu, L., and Sickles, R.C., Market Structures, Handbook of Production Economics
        Volume I Edited by Subhash C. Ray, Robert G. Chambers, and Subal C. Kumbhakar
        (Springer), Forthcoming.

        {Book Chapter }

      Journal Article 2019

      •  Karakaplan, M.U. and Kutlu, L. (2019), School District Consolidation Policies: Endogenous Cost Inefficiency and Saving Reversals, Empirical Economics, 56, 1729–1768.

        {Journal Article }

      Journal Article 2018

      • Al Masud, M.I. and Kutlu, L. (2018), US Bank Efficiency and the Fed Activity, Economics
        Bulletin        , 38, 2047-2059.

        {Journal Article }
      2018

      • Kutlu, L. (2018), Estimating Efficiency in a Spatial Stochastic Frontier Model, Economics Letters, 163, 155-157.

        {Journal Article }
      2018

      • Baris, O.F. and Kutlu, L. (2018), Price Dispersion and Optimal Price Categories with Limited Memory Consumers, Managerial and Decision Economics, 39, 97-106.

        {Journal Article }
      2018

      • Kutlu, L. and Wang, R. (2018), Price Dispersion, Competition, and Efficiency - Evidence from Chicago Based Routes,Journal of Transport, Economics and Policy,52, 23-44.

        {Journal Article }
      2018

      • Kutlu, L. and Nakkas, A. (2018), Strategic Product Line Choice under Asymmetric Demand Structure, Japanese Economic Review, 69, 347-359.

        {Journal Article }
      2018

      • Kutlu, L. (2018), A Distribution-Free Stochastic Frontier Model with Endogenous Regressors, Economics Letters, 163, 152-154.

        {Journal Article }
      2018

      • Kutlu, L. and Wang, R. (2018), Estimation of Cost Efficiency without Cost Data, Journal of Productivity Analysis, 49, 137-151.

        {Journal Article }

      Journal Article 2017

      •  Kutlu, L. (2017), A Constrained State Space Approach for Estimating Firm Efficiency, Economics Letters, 152, 54-56.

        {Journal Article }
      2017

      • Karakaplan, M.U. and Kutlu, L. (2017), Handling Endogeneity in Stochastic Frontier Analysis, Economics Bulletin, 37, 889-901.

        {Journal Article }
      2017

      • Kutlu, L. and Sickles, R.C. (2017), Measuring Market Power when Firms Price Discriminate, Empirical Economics, 53, 287-305.

        {Journal Article }
      2017

      • Karakaplan, M.U. and Kutlu, L. (2017), Endogeneity in Panel Stochastic Frontier Models: An Application to the Japanese Cotton Spinning Industry, Applied Economics, 49, 5935-5939.

        {Journal Article }
      2017

      • Kutlu, L. (2017), A Conduct Parameter Model of Price Discrimination, Scottish Journal of Political Economy, 64, 530-536.

        {Journal Article }

      Journal Article 2016

      • Kumar, R. and Kutlu, L. (2016), Price Discrimination in Quantity Setting Oligopoly, Manchester School, 84, 482-505.

        {Journal Article }
      2016

      • Kutlu, L. and McCarthy, P. (2016), US Airport Governance and Efficiency, Transportation Research Part E, 89, 117-132.

        {Journal Article }
      2016

      • Duygun, M., Kutlu, L., and Sickles, R.C. (2016), Measuring Productivity and Efficiency: A Kalman Filter Approach, Journal of Productivity Analysis, 46, 155-167.

        {Journal Article }

      Journal Article 2015

      • Ertemel, S., Kutlu, L., and Sanver, M.R. (2015), Voting Games of Resolute Social Choice Correspondences, Social Choice and Welfare, 45, 187-201.

        {Journal Article }
      2015

      • Kutlu, L. (2015), Limited Memory Consumers and Price Dispersion, Review of Industrial Organization, 46, 349-357.

        {Journal Article }

      Journal Article 2014

      •  Chakrabarty, D. and Kutlu, L. (2014), Competition and Price Dispersion in the Airline Markets, Applied Economics, 46, 3421-3436.

        {Journal Article }

      Journal Article 2013

      • Kutlu, L. (2013), Misspecification in Allocative Inefficiency: A Simulation Study, Economics Letters,118, 151-154.

        {Journal Article }

      Journal Article 2012

      • Kutlu, L. (2012), U.S. Banking Efficiency, 1984-1995, Economics Letters, 117, 53-56.

        {Journal Article }
      2012

      • Kutlu, L. (2012), Price Discrimination in Cournot Competition, Economics Letters, 117, 540-543.

        {Journal Article }
      2012

      •  Kutlu, L. and Sickles, R.C. (2012), Estimation of Market Power in the Presence of Firm Level Inefficiencies, Journal of Econometrics, 168, 141-155.

        {Journal Article }

      Journal Article 2010

      • Kutlu, L. (2010), Battese-Coelli Estimator with Endogenous Regressors, Economics Letters, 109, 79-81.

        {Journal Article }

      Journal Article 2009

      • Kutlu, L. (2009), A Dictatorial Domain for Monotone Social Choice Functions, Economics Letters, 105, 14-16.

        {Journal Article }
      2009

      • Kutlu, L. (2009), Price Discrimination in Stackelberg Competition, Journal of Industrial Economics, 57, 364.

        {Journal Article }

      Journal Article 2008

      • Kutlu, L. (2008), Intersection of Nash Implementable Social Choice Correspondences, Mathematical Social Sciences, 55, 255-257.

        {Journal Article }

      Journal Article 2007

      • Kutlu, L. (2007), Arrovian Aggregation for Preferences over Sets, Mathematical Social Sciences, 53, 255-258.

        {Journal Article }
      2007

      •  Kutlu, L. (2007), Superdictatorial Domains for Monotonic Social Choice Functions, Economics Letters, 97, 151-154.

        {Journal Article }

Courses

      • ECON 3318-001 Data Analysis & Visualization

        This course develops an understanding of statistical and econometric techniques so participants can
        evaluate claims made by others, come to their own conclusions, and make better judgments about
        future events. There is a dual focus on underlying theory and on the application of the techniques on
        data sets. It provides the opportunity to learn how to use Microsoft Excel and Stata as statistical
        packages and as tools for the visual display and analysis of data. Key will be the application of these
        techniques to real data for practical managerial decision making. Topics include descriptive statistics,
        statistical inference, simple and multiple regression analysis, specification, data issues, different
        functional forms and heteroscedasticity. Material covered has many practical applications in various
        fields.

        Spring - Regular Academic Session - 2019 Download Syllabus Contact info & Office Hours
      • ECON 3310-002 Intermediate Microeconomics

        Economics 3310 is a course in microeconomic theory.  We will analyze the theory of consumer behavior and firms and the markets that result from the interactions between them. The course will provide the opportunity to use the tools and methods of microeconomic analysis and reason out economic questions in a careful, systematic way. The emphasis in this course is on reasoning and understanding through problem-solving, not on memorization. The analytical skills you learn will be useful in further economics courses and are highly valued by employers. While the topics should be familiar from your introductory course in Microeconomics, you’ll discover that Intermediate Microeconomics makes much greater use of mathematical tools.  Although this adds a layer of complexity to the analysis, it increases the richness with which we can examine the topics. 

        Spring - Regular Academic Session - 2019 Download Syllabus Contact info & Office Hours
      • ECON 5336-002 Econometrics I

         This course develops an understanding of key statistical and econometric techniques. Participants exploit real data and computational power to uncover patterns/trends, examine relationships in business and economics, evaluate research claims, come to conclusions, and make predictive judgments. There is a dual focus on conceptual framework and the application of techniques to data sets in various fields. Participants learn how to use statistical packages such as STATA and Matlab to apply the tools to real data. Students are expected to complete a term project, which involves posing a problem, collecting appropriate data set, conducting an empirical analysis, and writing the results in the form of a short research paper.

        Fall - Regular Academic Session - 2018 Download Syllabus Contact info & Office Hours
      • ECON 3310-002 Intermediate Microeconomics

        Economics 3310 is a course in microeconomic theory.  We will analyze the theory of consumer behavior and firms and the markets that result from the interactions between them.  The course will provide the opportunity to use the tools and methods of microeconomic analysis and reason out economic questions in a careful, systematic way.  The emphasis in this course is on reasoning and understanding through problem-solving, not on memorization. The analytical skills you learn will be useful in further economics courses and are highly valued by employers. While the topics should be familiar from your introductory course in Microeconomics, you’ll discover that Intermediate Microeconomics makes much greater use of mathematical tools.  Although this adds a layer of complexity to the analysis, it increases the richness with which we can examine the topics. 

        Fall - Regular Academic Session - 2018 Download Syllabus Contact info & Office Hours