Alejandro Gelves

• M.S. in Business Analytics, William & Mary (May 2019)
• Ph.D. in Economics, University of Wisconsin-Milwaukee (May 2009)
• A.E.A. Summer Program, University of Colorado-Denver (June 2003)
• B.S. in Economics, Colombian School of Engineering (May 2003)

• Clinical Associate Professor, Raymond A. Mason School of Business, William & Mary (November 2019-present)
• Visiting Assistant Professor, Raymond A. Mason School of Business, William & Mary (September 2019-November 2019)
• Lecturer, Economics Department, University of North Texas (September 2016-August 2018) 
• Assistant Professor, Dillard Business School, Midwestern State University (August 2009-May 2016)
• Adjunct Faculty, Economics Department, University of Wisconsin-Whitewater (January 2008-May 2008)

• Naletelich, K. Ketron, S. & Gelves, J.A. (2023). Curbing Texting and Driving with Co-Creation Strategies. Journal of Business Research (Q1).
• Naletelich, K. Ketron, S. & Gelves, J.A. (2023). Using Representational V. S. Abstract Imagery to Create Regulatory Fit Effects, Psychology and Marketing (Q1).
• Dadpay, A. Farhid, F. Bell, G. and Gelves, J. A. (2022). Licensing and Innovation in Mixed Multinational Markets with Stackelberg Leadership. Journal of Industry Competition and Trade (Q2).
• Reyes, C. A., Bentley, H. & Gelves, J.A. (2019). Recurrence Rate After Endoscoptic vs. Open Approaches for Juvenile Nasopharyngeal Angiofibroma: A Meta-analysis. Journal of Neurological Surgery, Part B: Skull Base (Q3)
• Gelves, J.A. and McGinty, M. (2016). International environmental agreements with consistent conjectures. Journal of Environmental Economics and Management (Q1). 78, 67-84.
• Gelves, J.A. and Heywood, J.S. (2016). Pre-emptive mergers with cost asymmetry. Economics Letters (Q2), 147, 23-26.
• Gelves, J.A. & Heywood, J.S. (2016). How does a mixed ownership firm license a patent? Economic Modeling (Q2), 59, 278-284.
• Reyes, C. A., Mejia, L.J., Carvajalino, I., Moron, L. & Gelves, J.A. (2014). Riesgo para el desarrollo de hipoacusia neurosensorial congenita. Acta de Otorrinolaringologia & Cirugia de Cabeza y Cuello, 42(2), 87-92.
• Gelves, J. A. (2014). Differentiation and cost asymmetry: solving the merger paradox. International Journal of the Economics of Business (Q3), 21(3), 321-340.
• Gelves, J. A. & Heywood, J. S. (2013). Privatizing by merger: the case of and inefficient public leader. International Review of Economics and Finance (Q2), 27, 69-79.
• McGinty, M, Milam, G. & Gelves, J.A. (2012). Coalition stability in public goods provisions: testing a new allocation rule. Environmental and Resource Economics (Q1), 52(3), 327-345.
• Gelves, J. A. (2010). Horizontal merger with an inefficient leader. Manchester School of Economic and Social Studies (Q2), 78(5), 379-394.

• Gelves, J. A. & Heywood, J. S. (2025). Privatizing by Merger: Domestic and Foreign Firms.
• Naletelich, K. & Gelves, J.A. (2025). Regulatory effects in purchase intentions.
• Gelves, J. A. (2025). Government Intervention after Drastic Innovation.

• International Journal of Economics and Business (2022), Economic Modeling (2021)
• Bulletin of Economic Research, Journal of Industry Competition and Trade (2020)
• Southern Economic Journal, Economic Inquiry, Economic Modeling, Journal of Industry Competition and Trade, The B.E. Journal of Economic Analysis and Policy, Manchester School, International Journal of the Economics of Business, Journal of Economics and Business, Australian Economic Papers (2012-2018)

• Southern Economic Conference (2018)
  • Presenter: Session on Imperfect Competition I. "Private Privatization in Multinational Markets as a Trade Strategy"
  • "Partial Privatization in Multinational Markets as a Trade Strategy."
• Midwest Economic Conference (2015)
  • Presenter: Session on Topics on Micro Theory 3. "How Does a Mixed Ownership Firm License a Patent?"
  • "Incentives to License to a Mixed Firm."
  • Chair: Session on Applied Macro.
  • Discussant: Session on Topics in Micro Theory 2.
• Eastern Economics Conference (2013)
  • Presenter: Session on Topics in Environmental Economics. "International Environmental Agreements with Consistent Conjectures."
  • "Incentives to License to a Mixed Firm."
  • Chair: Session on Macro-Environmental Economics.
  • Discussant: Session on Topics in Environmental Economics.
• Western Economics Conference (2012)
  • Presenter: Session on Upstream-Downstream Models.
  • "Incentives to License to a Mixed Firm."
  • Discussant: Session on Upstream-Downstream Models.
• Midwest Economics Conference (2012)
  • Presenter: Session on Topics in Public Economics. "Incentives to License to a Public Leader."
  • Discussant: Session on Measurement for Macroeconomics.

• Modeling and Simulation (Part-Time MBA)
• Business Analytics, Visualization, and Communication Capstone Project (Part-Time MBA)
• Stochastic Modeling (MSBA)
• R Programming (Online MSBA)
• Decision Modeling (Online MSBA)
• Visualization and Modeling (Undergraduate)
• Business Statistics (Undergraduate)
• MSBA Capstone Project (MSBA)
• Managerial Economics
• Economics of Discrimination
• Intermediate Microeconomics
• Principles of Microeconomics
• General Economics

• Influencer for Class Graduate 2021
• William & Mary: Page Teaching Award 2021

William & Mary (Last Year Evaluations)

• Business Statistics, Spring 2024 (Undergraduate), Effectiveness: 3.38, Overall Evaluation: 3.72
• Business Statistics, Spring 2024 (Undergraduate), Effectiveness: 3.31, Overall Evaluation: 3.71
• Business Statistics, Spring 2024 (Undergraduate), Effectiveness: 3.72, Overall Evaluation: 3.90
• Stochastic Modeling, Fall 2024 (MSBA), Effectiveness: 4.17, Overall Evaluation: 4.23
• Stochastic Modeling, Fall 2024 (MSBA), Effectiveness: 4.62, Overall Evaluation: 4.49
• Decision Modeling, Fall 2024 (OMSBA), Effectiveness: 4.8, Overall Evaluation: 4.51
• Decision Modeling, Fall 2024 (OMSBA), Adjunct

University of North Texas (Average)

• Managerial Economics (2016-2017), Times taught: 2, Challenge & Engage: 6.15/7, Average Evaluation: 4.6/5
• Economics of Discrimination (2016-2018), Times taught: 7, Challenge & Engage: 4.76/7, Average Evaluation: 4.3/5
• Intermediate Microeconomics (2016-2018), Times taught: 5, Challenge & Engage: 6.16/7, Average Evaluation: 4.3/5

Midwestern State University (Average)

• Business and Econ Stats (2009-2015), Times taught: 19, Response Rate: 94%, Average Evaluation: 4.2/5
• General Economics (2014-2015), Times taught: 2, Response Rate: 77%, Average Evaluation: 4.86/5
• Managerial Economics (Online)(2014-2015), Times taught: 2, Response Rate: 33%, Average Evaluation: 3.22/5
• Microeconomic Principles (2009-2014), Times taught: 17, Response Rate: 91%, Average Evaluation: 4.4/5
• Intermediate Microeconomics (2009-2014), Times taught: 4, Response Rate: 95%, Average Evaluation: 4.47/5

• American Economic Association
• Eastern Economics Association
• Western Economics Association
• Midwestern Economics Association

William & Mary (Fall 2019-Present)

• Assurance of Learning Committee
• OISM Restructuring
• Diversity and Inclusion Learning and Development
• Diversity and Inclusion Communications Co-Chair
• Student Advising
• OISM Search Committee
• NTE Steering Committee
• Parking Appeals
• AOL Rater For AACSB
• Promotion Teaching Committee
• Online Evolution Project Committee
• Academic Status Committee
• BBA Advisory Committee

University of North Texas (Fall 2016-Fall 2017)

• Economics Club Advisor
• Lecturer Hiring Committee
• Student Advising
• Awards Committee

Midwestern State University (Fall 2009-Spring 2016)

• Student Investment Fund
• Undergraduate Program Committee
• Globalization of the Curriculum Committee
• Online Course Committee
• Economics and Finance Committee
• Faculty Senate

• Python for Everybody (5 Course Certificate, 2018), Coursera: University of Michigan
  • Course Topics: data structures, network application program interfaces, and databases using the python programming language.
• Experimental Social Sciences (Certificate, 2014), The University of Oxford, Nuffield College
  • Course Topics: casual inference and experimental design, programming in z-tree, field experiments, online experiments.
• Statistical Learning (Certificate, 2014), Open Ed. Stanford Online
  • Course Topics: tree-based methods (boosting, bagging and random forest), support vector machines, unsupervised learning.

• Langley Federal Credit Union (Norfolk, VA, 2019). Utilized machine learning and analytics techniques including clustering, decision trees, and portfolio optimization to address a business need. (Under NDA)
• Bon Secours (Richmond, VA, 2019). Designed a relational database and performed ETL on unstructured data. Analyzed data using Tableau.
• GPM Investments Convenience Stores (Richmond, VA, 2018) Developed, with a cross-functional team, a marketing research proposal for a convenience store chain (250+stores) to be utilized for potential sale; proposal was accepted. Designed and built a survey to measure customer satisfaction with the purpose of rebranding and improving customer service.
• Georgia Medical Regents Center (Augusta, GA, 2014). Developed and wrote a meta-analysis on cancer removal procedures; including in a medical peer reviewed paper.
• First Bank (Burkburnett, TX, 2014). Analyzed customer loan rate data with regression analysis and fixed effects clients' loan rates. Developed report for FDIC while collaborating with CFO to ensure compliance.
• Cook Children's Medical Center (Ft. Worth, TX, 2013). Conducted inter-rater tests, regression analysis on statistical significance on various projects.
• United Way (Wichita Falls, TX, 2013). Developed and implemented a strategy for program funding assessment, data collection and reporting.

• Kaggle Scripts https://www.kaggle.com/jagelves
• Languages: English and Spanish
• Software: R, Python, Quarto, Shiny, Tensor Flow, Tableau, MySQL, Alteryx, STATA, SAS, Maple, Qualtrics, TopHat, Reef Polling, Packback