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Jeff Gortmaker

Personal Details

First Name:Jeff
Middle Name:
Last Name:Gortmaker
Suffix:
RePEc Short-ID:pgo1008
[This author has chosen not to make the email address public]
https://jeffgortmaker.com
Twitter: jeff_gortmaker
Bluesky: @jeffgortmaker.com

Affiliation

(50%) Harvard Business School
Harvard University

Cambridge, Massachusetts (United States)
http://www.hbs.edu/
RePEc:edi:harbsus (more details at EDIRC)

(50%) Department of Economics
Harvard University

Cambridge, Massachusetts (United States)
http://www.economics.harvard.edu/
RePEc:edi:deharus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Christopher Conlon & Jeff Gortmaker, 2023. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP," NBER Working Papers 31605, National Bureau of Economic Research, Inc.

Articles

  1. Christopher Conlon & Jeff Gortmaker, 2020. "Best practices for differentiated products demand estimation with PyBLP," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1108-1161, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Christopher Conlon & Jeff Gortmaker, 2023. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP," NBER Working Papers 31605, National Bureau of Economic Research, Inc.

    Cited by:

    1. Du, Tianyu & Kanodia, Ayush & Athey, Susan, 2023. "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Research Papers 4106, Stanford University, Graduate School of Business.
    2. Matsumoto, Tomoki & Kamai, Tomohito & Kanazawa, Yuichiro, 2024. "Examining bargaining power in the distribution channel under possible price pass-through behaviors of retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).

Articles

  1. Christopher Conlon & Jeff Gortmaker, 2020. "Best practices for differentiated products demand estimation with PyBLP," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1108-1161, December.

    Cited by:

    1. Montag, Felix, 2022. "Mergers, Foreign Entry, and Jobs: Evidence from the U.S. Appliance Industry," CEPREMAP Working Papers (Docweb) 2207, CEPREMAP.
    2. Christopher T. Conlon & Julie Holland Mortimer, 2018. "Empirical Properties of Diversion Ratios," Working Papers 18-16, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
    4. Matteo Bobba & Tim Ederer & Gianmarco Leon-Ciliotta & Christopher Neilson & Marco G. Nieddu, 2021. "Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Perú," NBER Working Papers 29068, National Bureau of Economic Research, Inc.
    5. Douglas C. Turner, 2022. "Access pricing regulation in the U.S. domestic aviation industry," Journal of Regulatory Economics, Springer, vol. 62(1), pages 24-46, December.
    6. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," International Journal of Industrial Organization, Elsevier, vol. 86(C).
    7. Fournel, Jean-François, 2023. "Electric Vehicle Subsidies: Cost-Effectiveness and Emission Reductions," TSE Working Papers 23-1465, Toulouse School of Economics (TSE).
    8. Greg Lewis & Bora Ozaltun & Georgios Zervas, 2021. "Maximum Likelihood Estimation of Differentiated Products Demand Systems," Papers 2111.12397, arXiv.org.
    9. Jean-Jacques Forneron & Liang Zhong, 2023. "Convexity Not Required: Estimation of Smooth Moment Condition Models," Papers 2304.14386, arXiv.org.
    10. Andrew Chia, 2021. "Automatically Differentiable Random Coefficient Logistic Demand Estimation," Papers 2106.04636, arXiv.org.
    11. Nan Chen & Zemin (Zachary) Zhong, 2024. "History and Country-of-Origin Effects," Marketing Science, INFORMS, vol. 43(1), pages 192-212, January.
    12. Dubois, Pierre & Gandhi, Ashvin & Vasserman, Shoshana, 2022. "Bargaining and International Reference Pricing in the Pharmaceutical Industry," TSE Working Papers 22-1338, Toulouse School of Economics (TSE).
    13. Keith Head & Thierry Mayer, 2023. "Poor Substitutes? Counterfactual Methods in IO and Trade Compared," SciencePo Working papers Main hal-04347301, HAL.
    14. Montag, Felix, 2023. "Mergers, foreign competition, and jobs: Evidence from the U.S. appliance industry," Working Papers 326, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    15. Felix Montag, 2023. "Mergers, Foreign Competition, and Jobs: Evidence from the U.S. Appliance Industry," Rationality and Competition Discussion Paper Series 378, CRC TRR 190 Rationality and Competition.
    16. Huo, Jinghai & Dua, Rubal & Bansal, Prateek, 2024. "Inverse product differentiation logit model: Holy grail or not?," Energy Economics, Elsevier, vol. 131(C).
    17. Osbat, Chiara & Conflitti, Cristina & Eiglsperger, Martin & Goldhammer, Bernhard & Kuik, Friderike & Menz, Jan-Oliver & Rumler, Fabio & Moreno, Marta Saez & Segers, Lina & Wieland, Elisabeth & Bellocc, 2023. "Measuring inflation with heterogeneous preferences, taste shifts and product innovation: methodological challenges and evidence from microdata," Occasional Paper Series 323, European Central Bank.
    18. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," NBER Working Papers 29305, National Bureau of Economic Research, Inc.
    19. Miravete, Eugenio J. & Seim, Katja & Thurk, Jeff, 2023. "Pass-through and tax incidence in differentiated product markets," International Journal of Industrial Organization, Elsevier, vol. 90(C).
    20. Dearing, Adam, 2022. "Estimating structural demand and supply models using tax rates as instruments," Journal of Public Economics, Elsevier, vol. 205(C).
    21. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.
    22. Linn, Joshua, 2023. "Emissions Standards and Electric Vehicle Targets for Passenger Vehicles," RFF Working Paper Series 23-05, Resources for the Future.
    23. Kandelhardt, Johannes, 2023. "Flexible estimation of random coefficient logit models of differentiated product demand," DICE Discussion Papers 399, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    24. Thomassen, Øyvind & Smith, Howard & Seiler, Stephan & Schiraldi, Pasquale, 2017. "Multi-category competition and market power: a model of supermarket pricing," LSE Research Online Documents on Economics 69855, London School of Economics and Political Science, LSE Library.
    25. Hollenbeck, Brett & Uetake, Kosuke, 2018. "Taxation and Market Power in the Legal Marijuana Industry," MPRA Paper 90085, University Library of Munich, Germany.
    26. Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
    27. Mogens Fosgerauy & Julien Monardoz & André de Palma, 2023. "The Inverse Product Differentiation LogitModel," THEMA Working Papers 2023-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    28. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," LSE Research Online Documents on Economics 117353, London School of Economics and Political Science, LSE Library.
    29. Philip G. Gayle & Ying Lin, 2022. "Market effects of new product introduction: Evidence from the brew‐at‐home coffee market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 525-557, August.
    30. Julian Hidalgo & Michelle Sovinsky, 2023. "Internet (Power) to the People: How to Bridge the Digital Divide," CRC TR 224 Discussion Paper Series crctr224_2023_461, University of Bonn and University of Mannheim, Germany.
    31. Felix Montag, 2023. "Mergers, Foreign Competition, and Jobs: Evidence from the U.S. Appliance Industry," Rationality and Competition Discussion Paper Series 413, CRC TRR 190 Rationality and Competition.
    32. Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023. "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, vol. 235(2), pages 2245-2265.
    33. Takeshi Fukasawa, 2024. "Fast and simple inner-loop algorithms of static / dynamic BLP estimations," Papers 2404.04494, arXiv.org, revised Oct 2024.
    34. Christopher A. Neilson, 2021. "Targeted Vouchers, Competition Among Schools, and the Academic Achievement of Poor Students," Working Papers 2021-48, Princeton University. Economics Department..
    35. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312R4, Cowles Foundation for Research in Economics, Yale University, revised Jun 2023.
    36. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.
    37. Takeshi Fukasawa, 2024. "Simple method for efficiently solving dynamic models with continuous actions using policy gradient," Papers 2407.04227, arXiv.org.
    38. Limin Fang, 2022. "The Effects of Online Review Platforms on Restaurant Revenue, Consumer Learning, and Welfare," Management Science, INFORMS, vol. 68(11), pages 8116-8143, November.
    39. Pál, László & Sándor, Zsolt, 2023. "Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    40. Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.
    41. Luo, Jinjing & Moschini, GianCarlo & Perry, Edward D., 2023. "Switching costs in the US seed industry: Technology adoption and welfare impacts," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    42. Ma, Meilin & Liu, Yunjuan, 2020. "Processor-Retailer Markup and Pricing Decision: Insights from the U.S. Beef Market 2011-16," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304350, Agricultural and Applied Economics Association.
    43. Matthew Backus & Christopher Conlon & Michael Sinkinson, 2021. "Common Ownership and Competition in the Ready-to-Eat Cereal Industry," NBER Working Papers 28350, National Bureau of Economic Research, Inc.
    44. Tatsuya Abe, 2022. "Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market," Working Papers e172, Tokyo Center for Economic Research.
    45. Doi, Naoshi, 2022. "A simple method to estimate discrete-type random coefficients logit models," International Journal of Industrial Organization, Elsevier, vol. 81(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-COM: Industrial Competition (1) 2023-10-02. Author is listed
  2. NEP-ECM: Econometrics (1) 2023-10-02. Author is listed

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