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Kyoo il Kim

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Patrick Bajari & Jane Cooley Fruehwirth & Kyoo il Kim & Christopher Timmins, 2012. "A Rational Expectations Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution," American Economic Review, American Economic Association, vol. 102(5), pages 1898-1926, August.

    Mentioned in:

    1. A Rational Expectations Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution (AER 2012) in ReplicationWiki ()

Working papers

  1. Taeyoung Doh & Kyoo il Kim & Sungil Kim & Hwanoong Lee & Kyungho Song, 2022. "The Economic Effects of a Rapid Increase in the Minimum Wage: Evidence from South Korea Experiments," Research Working Paper RWP 22-13, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Taeyoung Doh & Luca Van der Meer, 2023. "The Employment Effect of an Increase in the National Minimum Wage: Review of International Evidence," Economic Review, Federal Reserve Bank of Kansas City, vol. 0(no. 2), pages 1-15, March.

  2. Kyoo il Kim & Amil Petrin, 2013. "Tests for Price Endogeneity in Differentiated Product Models," NBER Working Papers 19011, National Bureau of Economic Research, Inc.

    Cited by:

    1. Choi, Kang Jun & Jia, He Michael & Lee, Jae Young & Kim, B. Kyu & Kim, Keunwoo, 2022. "Hedonic myopia: Emphasizing hedonic benefits of non-perishable food makes consumers insensitive to expiration dates in food purchase," Journal of Business Research, Elsevier, vol. 138(C), pages 193-202.

  3. Itai Sher & Kyoo il Kim, 2012. "Identification of Demand Models of Multiple Purchases," Working Papers 2012-2, University of Minnesota, Department of Economics.

    Cited by:

    1. Jeremy Fox & Natalia Lazzati, 2013. "Identification of discrete choice models for bundles and binary games," CeMMAP working papers 04/13, Institute for Fiscal Studies.

  4. Jeremy T. Fox & Kyoo il Kim, 2011. "A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models," NBER Working Papers 17283, National Bureau of Economic Research, Inc.

    Cited by:

    1. Gaurab Aryal & Charles Murry & Jonathan W Williams, 2024. "Price Discrimination in International Airline Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 641-689.
    2. Jackson Bunting & Paul Diegert & Arnaud Maurel, 2024. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," NBER Working Papers 32164, National Bureau of Economic Research, Inc.
    3. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    4. Florian Heiss & Stephan Hetzenecker & Maximilian Osterhaus, 2019. "Nonparametric Estimation of the Random Coefficients Model: An Elastic Net Approach," Papers 1909.08434, arXiv.org, revised Sep 2019.
    5. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
    6. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    7. Suqin Ge & João Macieira, 2024. "Unobserved Worker Quality and Inter‐Industry Wage Differentials," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 459-515, March.
    8. 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).
    9. Breunig, Christoph, 2021. "Varying random coefficient models," Journal of Econometrics, Elsevier, vol. 221(2), pages 381-408.
    10. Eric Gautier & Stefan Hoderlein, 2012. "A triangular treatment effect model with random coefficients in the selection equation," CeMMAP working papers 39/12, Institute for Fiscal Studies.
    11. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
    12. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    13. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    14. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 08/12, Institute for Fiscal Studies.
    15. Wesley Blundell & Gautam Gowrisankaran & Ashley Langer, 2018. "Escalation of Scrutiny: The Gains from Dynamic Enforcement of Environmental Regulations," NBER Working Papers 24810, National Bureau of Economic Research, Inc.
    16. Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
    17. Su, Kuangxi & Yao, Yinhong & Zheng, Chengli & Xie, Wenzhao, 2023. "A novel hybrid strategy for crude oil future hedging based on the combination of three minimum-CVaR models," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 35-50.
    18. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," Ruhr Economic Papers 824, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. Christoph Breunig, 2018. "Varying Random Coefficient Models," Papers 1804.03110, arXiv.org, revised Aug 2020.
    20. Gastón Illanes & Manisha Padi, 2019. "Retirement Policy and Annuity Market Equilibria: Evidence from Chile," NBER Working Papers 26285, National Bureau of Economic Research, Inc.
    21. Fox, Jeremy T. & Kim, Kyoo il & Ryan, Stephen P. & Bajari, Patrick, 2012. "The random coefficients logit model is identified," Journal of Econometrics, Elsevier, vol. 166(2), pages 204-212.
    22. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2022. "Nonparametric estimation of the random coefficients model: An elastic net approach," Journal of Econometrics, Elsevier, vol. 229(2), pages 299-321.
    24. Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb, Hotels, and Localized Competition," Discussion Papers of DIW Berlin 1889, DIW Berlin, German Institute for Economic Research.
    25. 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.
    26. Jason Abaluck & Giovanni Compiani, 2020. "A Method to Estimate Discrete Choice Models that is Robust to Consumer Search," NBER Working Papers 26849, National Bureau of Economic Research, Inc.
    27. Maximilian Osterhaus, 2024. "A Sparse Grid Approach for the Nonparametric Estimation of High-Dimensional Random Coefficient Models," Papers 2408.07185, arXiv.org.
    28. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 20/14, Institute for Fiscal Studies.
    29. Giovanni Compiani, 2022. "Market counterfactuals and the specification of multiproduct demand: A nonparametric approach," Quantitative Economics, Econometric Society, vol. 13(2), pages 545-591, May.
    30. Fan, Yanqin & Shi, Xuetao, 2023. "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, vol. 235(2), pages 2005-2026.

  5. Itai Sher & Jeremy T. Fox & Kyoo il Kim & Patrick Bajari, 2011. "Partial Identification of Heterogeneity in Preference Orderings Over Discrete Choices," NBER Working Papers 17346, National Bureau of Economic Research, Inc.

    Cited by:

    1. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric welfare and demand analysis with unobserved individual heterogeneity," ULB Institutional Repository 2013/251988, ULB -- Universite Libre de Bruxelles.
    2. Stoye, Jörg & Kitamura, Yuichi, 2013. "Nonparametric Analysis of Random Utility Models: Testing," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79753, Verein für Socialpolitik / German Economic Association.
    3. Yi-Chun Akchen & Dmitry Mitrofanov, 2023. "Consider or Choose? The Role and Power of Consideration Sets," Papers 2302.04354, arXiv.org, revised Jun 2024.
    4. Garrett van Ryzin & Gustavo Vulcano, 2015. "A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models," Management Science, INFORMS, vol. 61(2), pages 281-300, February.
    5. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    6. Srikanth Jagabathula & Paat Rusmevichientong, 2017. "Nonparametric Joint Assortment and Price Choice Model," Management Science, INFORMS, vol. 63(9), pages 3128-3145, September.

  6. Kyoo il Kim & Amil Petrin, 2011. "A New Control Function Approach for Non-Parametric Regressions with Endogenous Variables," NBER Working Papers 16679, National Bureau of Economic Research, Inc.

    Cited by:

    1. Alyssa Carlson, 2021. "Relaxing Conditional Independence in an Endogenous Binary Response Model," Working Papers 2113, Department of Economics, University of Missouri.

  7. Amit Gandhi & Kyoo il Kim & Amil Petrin, 2011. "Identification and Estimation in Discrete Choice Demand Models when Endogenous Variables Interact with the Error," NBER Working Papers 16894, National Bureau of Economic Research, Inc.

    Cited by:

    1. Steven T. Berry & Philip Haile, 2010. "Identification in Differentiated Products Markets Using Market Level Data," Cowles Foundation Discussion Papers 1744R, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    2. Shanjun Li & Junji Xiao & Yimin Liu, 2015. "The Price Evolution in China's Automobile Market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(4), pages 786-810, October.
    3. Joachim Freyberger, 2012. "Asymptotic theory for differentiated products demand models with many markets," CeMMAP working papers CWP19/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Kim Kyoo il & Petrin Amil, 2015. "Tests for Price Endogeneity in Differentiated Product Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 47-69, January.
    5. Alyssa Carlson, 2021. "Relaxing Conditional Independence in an Endogenous Binary Response Model," Working Papers 2113, Department of Economics, University of Missouri.
    6. Joachim Freyberger, 2012. "Asymptotic theory for differentiated products demand models with many markets," CeMMAP working papers 19/12, Institute for Fiscal Studies.

  8. Patrick Bajari & Jane Cooley & Kyoo il Kim & Christopher Timmins, 2010. "A Theory-Based Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution," NBER Working Papers 15724, National Bureau of Economic Research, Inc.

    Cited by:

    1. Muehlenbachs, Lucija & Spiller, Elisheba & Timmins, Christopher, "undated". "The Housing Market Impacts of Shale Gas Development," RFF Working Paper Series dp-13-39-rev, Resources for the Future.
    2. Kelly C. Bishop & Christopher Timmins, 2011. "Hedonic Prices and Implicit Markets: Estimating Marginal Willingness to Pay for Differentiated Products Without Instrumental Variables," NBER Working Papers 17611, National Bureau of Economic Research, Inc.
    3. Linn, Joshua, 2013. "The effect of voluntary brownfields programs on nearby property values: Evidence from Illinois," Journal of Urban Economics, Elsevier, vol. 78(C), pages 1-18.
    4. Runqiu Liu & Chao Yu & Canmian Liu & Jian Jiang & Jing Xu, 2018. "Impacts of Haze on Housing Prices: An Empirical Analysis Based on Data from Chengdu (China)," IJERPH, MDPI, vol. 15(6), pages 1-21, June.
    5. Zhang, Wendong & Irwin, Elena G. & Nickerson, Cynthia J., 2012. "The Expanding Ethanol Market and Farmland Values: Identifying the Changing Influence of Proximity to Agricultural Delivery Points," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124690, Agricultural and Applied Economics Association.

  9. Patrick Bajari & Jeremy Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "The Random Coefficients Logit Model Is Identified," NBER Working Papers 14934, National Bureau of Economic Research, Inc.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Olivier Allais & Fabrice Etilé & Sébastien Lecocq, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Post-Print halshs-01213319, HAL.
    3. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," NBER Working Papers 25827, National Bureau of Economic Research, Inc.
    4. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2023. "Nonparametric identification of random coefficients in aggregate demand models for differentiated products," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 279-306.
    5. Griffith, Rachel & O’Connell, Martin & Smith, Kate, 2019. "Tax design in the alcohol market," Journal of Public Economics, Elsevier, vol. 172(C), pages 20-35.
    6. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
    7. Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.
    8. Jimenez, Maritza & Franco, Carlos J. & Dyner, Isaac, 2016. "Diffusion of renewable energy technologies: The need for policy in Colombia," Energy, Elsevier, vol. 111(C), pages 818-829.
    9. Jean-Pierre H. Dube & Günter J. Hitsch & Pranav Jindal, 2012. "The Joint Identification of Utility and Discount Functions From Stated Choice Data: An Application to Durable Goods Adoption," NBER Working Papers 18393, National Bureau of Economic Research, Inc.
    10. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    11. Naoki Wakamori & Angelika Welte, 2012. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Staff Working Papers 12-24, Bank of Canada.
    12. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    13. Suqin Ge & João Macieira, 2024. "Unobserved Worker Quality and Inter‐Industry Wage Differentials," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 459-515, March.
    14. Verboven, Frank & Reynaert, Mathias, 2012. "Improving the Performance of Random Coefficients Demand Models: the Role of Optimal Instruments," CEPR Discussion Papers 9026, C.E.P.R. Discussion Papers.
    15. Jeremy T. Fox, 2021. "A Note on Nonparametric Identification of Distributions of Random Coefficients in Multinomial Choice Models," Annals of Economics and Statistics, GENES, issue 142, pages 305-310.
    16. Jean-Pierre Dubé & Günter Hitsch & Pranav Jindal, 2014. "The Joint identification of utility and discount functions from stated choice data: An application to durable goods adoption," Quantitative Marketing and Economics (QME), Springer, vol. 12(4), pages 331-377, December.
    17. Olivier Allais; & Fabrice Etile; & Sebastien Lecocq, 2012. "Mandatory labelling, nutritional taxes and market forces: An empirical evaluation of fat policies in the French fromage blanc and yogurt market," Health, Econometrics and Data Group (HEDG) Working Papers 12/14, HEDG, c/o Department of Economics, University of York.
    18. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical Models of Firms and Industries," Working Papers tecipa-580, University of Toronto, Department of Economics.
    19. Steven T. Berry & Philip Haile, 2010. "Identification in Differentiated Products Markets Using Market Level Data," Cowles Foundation Discussion Papers 1744R, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    20. Lind, Nelson & Ramondo, Natalia, 2022. "Global Innovation and Knowledge Diffusion," CEPR Discussion Papers 17385, C.E.P.R. Discussion Papers.
    21. Arthur Lewbel & Krishna Pendakur, 2012. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Boston College Working Papers in Economics 791, Boston College Department of Economics, revised 01 Jul 2013.
    22. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
    23. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
    24. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
    25. Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2012. "Semiparametric estimation of random coefficients in structural economic models," CeMMAP working papers CWP09/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
    27. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    28. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    29. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 08/12, Institute for Fiscal Studies.
    30. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    31. Rachel Griffith & Martin O'Connell & Kate Smith, 2017. "Design of optimal corrective taxes in the alcohol market," IFS Working Papers W17/02, Institute for Fiscal Studies.
    32. Burda, Martin & Harding, Matthew & Hausman, Jerry, 2012. "A Poisson mixture model of discrete choice," Journal of Econometrics, Elsevier, vol. 166(2), pages 184-203.
    33. Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
    34. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2017. "Discrete Choice and Rational Inattention: A General Equivalence Result," Working Papers hal-01501313, HAL.
    35. Matzkin, Rosa L., 2019. "Constructive identification in some nonseparable discrete choice models," Journal of Econometrics, Elsevier, vol. 211(1), pages 83-103.
    36. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki & Sherman, Robert, 2018. "Nonparametric identification of the distribution of random coefficients in binary response static games of complete information," Journal of Econometrics, Elsevier, vol. 206(1), pages 83-102.
    37. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers CWP11/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Franco, Carlos J. & Zapata, Sebastian & Dyner, Isaac, 2015. "Simulation for assessing the liberalization of biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 298-307.
    39. Kyoo il Kim, 2014. "Identification of the Distribution of Random Coefficients in Static and Dynamic Discrete Choice Models," Korean Economic Review, Korean Economic Association, vol. 30, pages 191-216.
    40. Jeremy T. Fox & Kyoo il Kim, 2011. "A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models," NBER Working Papers 17283, National Bureau of Economic Research, Inc.
    41. Michele De Nadai & Arthur Lewbel, 2012. "Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation," Boston College Working Papers in Economics 790, Boston College Department of Economics, revised 01 Jul 2013.
    42. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Emily Yucai Wang, 2015. "The impact of soda taxes on consumer welfare: implications of storability and taste heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 409-441, June.
    44. David P. Byrne & Susumu Imai & Neelam Jain & Vasilis Sarafidis & Masayuki Hirukawa, 2019. "Identification and Estimation of Differentiated Products Models," Monash Econometrics and Business Statistics Working Papers 33/19, Monash University, Department of Econometrics and Business Statistics.
    45. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    46. Byrne, David P. & Imai, Susumu & Jain, Neelam & Sarafidis, Vasilis, 2022. "Instrument-free identification and estimation of differentiated products models using cost data," Journal of Econometrics, Elsevier, vol. 228(2), pages 278-301.
    47. Simona Alfiero & Massimo Cane & Ruggiero Doronzo & Alfredo Esposito, 2018. "Determining characteristics of boards adopting Integrated Reporting," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2018(2), pages 37-71.
    48. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.
    49. Nail Kashaev, 2022. "Identification and Estimation of Multinomial Choice Models with Latent Special Covariates," University of Western Ontario, Departmental Research Report Series 20224, University of Western Ontario, Department of Economics.
    50. Lim, Kar H. & Hu, Wuyang & Nayga, Rodolfo M., Jr., 2021. "Consumer Preference for Grass-Fed Beef: A Case of Food Safety Halo Effect," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    51. Botosaru, Irene, 2020. "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 217(1), pages 112-139.
    52. Jason Abaluck & Giovanni Compiani, 2020. "A Method to Estimate Discrete Choice Models that is Robust to Consumer Search," NBER Working Papers 26849, National Bureau of Economic Research, Inc.
    53. Iaria, Alessandro & ,, 2020. "Identification and Estimation of Demand for Bundles," CEPR Discussion Papers 14363, C.E.P.R. Discussion Papers.
    54. Zhengtao Li, 2019. "Valuing Acute Health Risks of Air Pollution in the Jinchuan Mining Area, China: A Choice Experiment with Perceived Exposure and Hazardousness as Co-Determinants," IJERPH, MDPI, vol. 16(22), pages 1-18, November.
    55. 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.
    56. Patrick Bajari & Jeremy T. Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "A Simple Nonparametric Estimator for the Distribution of Random Coefficients," NBER Working Papers 15210, National Bureau of Economic Research, Inc.
    57. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 20/14, Institute for Fiscal Studies.
    58. Giovanni Compiani, 2022. "Market counterfactuals and the specification of multiproduct demand: A nonparametric approach," Quantitative Economics, Econometric Society, vol. 13(2), pages 545-591, May.
    59. Cristián Hernández & Daniel Quint & Christopher Turansick, 2020. "Estimation in English auctions with unobserved heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 868-904, September.
    60. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2021. "Designing Context-Based Marketing: Product Recommendations Under Time Pressure," Management Science, INFORMS, vol. 67(9), pages 5642-5659, September.

  10. Patrick Bajari & Jeremy T. Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "A Simple Nonparametric Estimator for the Distribution of Random Coefficients," NBER Working Papers 15210, National Bureau of Economic Research, Inc.

    Cited by:

    1. Christopher T. Conlon & Julie Holland Mortimer, 2008. "Demand Estimation Under Incomplete Product Availability," NBER Working Papers 14315, National Bureau of Economic Research, Inc.
    2. Joao Macieira, 2010. "Oblivious Equilibrium in Dynamic Discrete Games," 2010 Meeting Papers 680, Society for Economic Dynamics.
    3. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
    4. Fox, Jeremy T. & Kim, Kyoo il & Ryan, Stephen P. & Bajari, Patrick, 2012. "The random coefficients logit model is identified," Journal of Econometrics, Elsevier, vol. 166(2), pages 204-212.
    5. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    7. Christopher T. Conlon & Julie Holland Mortimer, 2010. "Effects of Product Availability: Experimental Evidence," NBER Working Papers 16506, National Bureau of Economic Research, Inc.

  11. Kyoo il Kim, 2006. "Semiparametric Estimation of Signaling Games," Labor Economics Working Papers 22452, East Asian Bureau of Economic Research.

    Cited by:

    1. Kim, Sung-Hwan, 2009. "Predatory reputation in US airline markets," International Journal of Industrial Organization, Elsevier, vol. 27(5), pages 592-604, September.
    2. Kyoo il Kim, 2006. "Set Inference for Semiparametric Discrete Games," Labor Economics Working Papers 22454, East Asian Bureau of Economic Research.

  12. Kyoo il Kim, 2006. "Set Inference for Semiparametric Discrete Games," Working Papers 16-2006, Singapore Management University, School of Economics.

    Cited by:

    1. Kyoo il Kim, 2006. "Semiparametric Estimation of Signaling Games," Labor Economics Working Papers 22452, East Asian Bureau of Economic Research.

Articles

  1. Kim, Kyoo il & Petrin, Amil & Song, Suyong, 2016. "Estimating production functions with control functions when capital is measured with error," Journal of Econometrics, Elsevier, vol. 190(2), pages 267-279.

    Cited by:

    1. Sahoo, Pradipta Kumar & Rath, Badri Narayan & Le, Viet, 2022. "Nexus between export, productivity, and competitiveness in the Indian manufacturing sector," Journal of Asian Economics, Elsevier, vol. 79(C).
    2. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    3. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
    4. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    5. Hu, Yingyao & Huang, Guofang & Sasaki, Yuya, 2020. "Estimating production functions with robustness against errors in the proxy variables," Journal of Econometrics, Elsevier, vol. 215(2), pages 375-398.
    6. De loecker, Jan & Collard-Wexler, Allan, 2016. "Production Function Estimation with Measurement Error in Inputs," CEPR Discussion Papers 11399, C.E.P.R. Discussion Papers.
    7. Allan Collard-Wexler & Jan De Loecker, 2016. "Production Function Estimation and Capital Measurement Error," NBER Working Papers 22437, National Bureau of Economic Research, Inc.
    8. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    9. Yismaw Ayelign & Lakhwinder Singh, 2019. "Comparison of Recent Developments in Productivity Estimation: Application on Ethiopian Manufacturing Sector," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 20-31, September.
    10. Fu, Shihe & Xu, Xiaocong & Zhang, Junfu, 2021. "Land conversion across cities in China," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    11. Abito, Jose Miguel, 2019. "Estimating Production Functions with Fixed Effects," MPRA Paper 97825, University Library of Munich, Germany.
    12. Josh Martin & Rebecca Riley, 2023. "Productivity measurement - Reassessing the production function from micro to macro," Working Papers 033, The Productivity Institute.
    13. Daniel Gurara & Dawit Tessema, 2018. "Losing to Blackouts: Evidence from Firm Level Data," IMF Working Papers 2018/159, International Monetary Fund.

  2. Fox, Jeremy T. & Kim, Kyoo il & Yang, Chenyu, 2016. "A simple nonparametric approach to estimating the distribution of random coefficients in structural models," Journal of Econometrics, Elsevier, vol. 195(2), pages 236-254.
    See citations under working paper version above.
  3. Kim Kyoo il & Petrin Amil, 2015. "Tests for Price Endogeneity in Differentiated Product Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 47-69, January.
    See citations under working paper version above.
  4. Kyoo il Kim, 2014. "Identification of the Distribution of Random Coefficients in Static and Dynamic Discrete Choice Models," Korean Economic Review, Korean Economic Association, vol. 30, pages 191-216.

    Cited by:

    1. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    2. Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
    3. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
    4. Wang, Ao, 2020. "Identifying the Distribution of Random Coefficients in BLP Demand Models Using One Single Variation in Product Characteristics," The Warwick Economics Research Paper Series (TWERPS) 1304, University of Warwick, Department of Economics.
    5. Iaria, Alessandro & ,, 2020. "Identification and Estimation of Demand for Bundles," CEPR Discussion Papers 14363, C.E.P.R. Discussion Papers.

  5. Sher, Itai & Kim, Kyoo il, 2014. "Identifying combinatorial valuations from aggregate demand," Journal of Economic Theory, Elsevier, vol. 153(C), pages 428-458.

    Cited by:

    1. 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.
    2. Ouyang, Fu & Yang, Thomas Tao & Zhang, Hanghui, 2020. "Semiparametric identification and estimation of discrete choice models for bundles," Economics Letters, Elsevier, vol. 193(C).
    3. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Discrete Choice Models for Bundles," Discussion Papers Series 625, School of Economics, University of Queensland, Australia.
    4. Fu Ouyang & Thomas T. Yang, 2023. "Semiparametric Discrete Choice Models for Bundles," Papers 2306.04135, arXiv.org, revised Nov 2023.
    5. Iaria, Alessandro & ,, 2020. "Identification and Estimation of Demand for Bundles," CEPR Discussion Papers 14363, C.E.P.R. Discussion Papers.

  6. Patrick Bajari & Jane Cooley Fruehwirth & Kyoo il Kim & Christopher Timmins, 2012. "A Rational Expectations Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution," American Economic Review, American Economic Association, vol. 102(5), pages 1898-1926, August.

    Cited by:

    1. Kanis Saengchote & Voraprapa Nakavachara & Yishuang Xu, 2023. "Capitalising the Network Externalities of New Land Supply in the Metaverse," PIER Discussion Papers 203, Puey Ungphakorn Institute for Economic Research.
    2. Luis Eduardo Quintero, 2014. "Housing Consumption and Prices in a Unified Metropolitan Market with Heterogeneous Preferences," 2014 Papers pqu53, Job Market Papers.
    3. Koster, Hans R. A. & Pinchbeck, Edward W., 2018. "How do households value the future? Evidence from property taxes," LSE Research Online Documents on Economics 91693, London School of Economics and Political Science, LSE Library.
    4. Linn, Joshua, 2013. "The effect of voluntary brownfields programs on nearby property values: Evidence from Illinois," Journal of Urban Economics, Elsevier, vol. 78(C), pages 1-18.
    5. Franco, Sofia F. & Cutter, W. Bowman, 2022. "The determinants of non-residential real estate values with special reference to environmental local amenities," Ecological Economics, Elsevier, vol. 201(C).
    6. Kanis Saengchote & Voraprapa Nakavachara & Yishuang Xu, 2023. "Capitalising the Network Externalities of New Land Supply in the Metaverse," Papers 2303.17180, arXiv.org.
    7. Fesselmeyer, Eric & Liu, Haoming, 2016. "How Do Users Value a Network Expansion? Evidence from the Public Transit System in Singapore," IZA Discussion Papers 10142, Institute of Labor Economics (IZA).
    8. Ackerberg, Daniel A. & Frazer, Garth & Kim, Kyoo il & Luo, Yao & Su, Yingjun, 2023. "Under-identification of structural models based on timing and information set assumptions," Journal of Econometrics, Elsevier, vol. 237(1).
    9. Carriazo, Fernando & Ready, Richard & Shortle, James, 2013. "Using stochastic frontier models to mitigate omitted variable bias in hedonic pricing models: A case study for air quality in Bogotá, Colombia," Ecological Economics, Elsevier, vol. 91(C), pages 80-88.
    10. Mari O. Mamre & Dag Einar Sommervoll, 2024. "Coming of Age: Renovation Premiums in Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 69(2), pages 307-342, August.
    11. Arik Levinson, 2013. "Happiness as a Public Policy Tool," Working Papers gueconwpa~13-13-04, Georgetown University, Department of Economics.
    12. Grégory Claeys & Gustav Fredriksson & Georg Zachmann, . "The distributional effects of climate policies," Blueprints, Bruegel, number 28291.
    13. Arik Levinson, 2018. "Happiness, Behavioral Economics, and Public Policy," Working Papers gueconwpa~18-18-17, Georgetown University, Department of Economics.
    14. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
    15. Gibbons, Stephen & Heblich, Stephan & Timmins, Christopher, 2021. "Market tremors: Shale gas exploration, earthquakes, and their impact on house prices," Journal of Urban Economics, Elsevier, vol. 122(C).
    16. Steve Gibbons & Stephan Heblich & Esther Lho & Christopher Timmins, 2016. "Fear of Fracking? The Impact of the Shale Gas Exploration on House Prices in Britain," NBER Working Papers 22859, National Bureau of Economic Research, Inc.
    17. Clément de Chaisemartin & Xavier D'Haultfoeuille, 2019. "Two-way Fixed Effects Estimators with Heterogeneous Treatment Effects," NBER Working Papers 25904, National Bureau of Economic Research, Inc.
    18. Suppliet, Moritz & Herr, Annika, 2016. "Cost-Sharing and Drug Pricing Strategies : Introducing Tiered Co-Payments in Reference Price Markets," Other publications TiSEM 6430293b-fde9-4f91-ab35-3, Tilburg University, School of Economics and Management.
    19. Panzone, Luca A. & Ulph, Alistair & Zizzo, Daniel John & Hilton, Denis & Clear, Adrian, 2021. "The impact of environmental recall and carbon taxation on the carbon footprint of supermarket shopping," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    20. Antonio Bento & Kevin Roth & Andrew R. Waxman, 2020. "The Value of Urgency: Evidence from Real-Time Congestion Pricing," NBER Working Papers 26956, National Bureau of Economic Research, Inc.
    21. Christopher Severen & Christopher Costello & Olivier Deschenes, 2016. "A Forward Looking Ricardian Approach: Do Land Markets Capitalize Climate Change Forecasts?," NBER Working Papers 22413, National Bureau of Economic Research, Inc.
    22. LE BOENNEC, Rémy & SALLADARRE, Frédéric, 2017. "The impact of air pollution and noise on the real estate market. The case of the 2013 European Green Capital: Nantes, France," MPRA Paper 94995, University Library of Munich, Germany.
    23. Jian Liang & Kang Mo Koo & Chyi Lin Lee, 2021. "Transportation infrastructure improvement and real estate value: impact of level crossing removal project on housing prices," Transportation, Springer, vol. 48(6), pages 2969-3011, December.
    24. Alex Hollingsworth & Taylor Jaworski & Carl Kitchens & Ivan J. Rudik, 2022. "Economic Geography and the Efficiency of Environmental Regulation," NBER Working Papers 29845, National Bureau of Economic Research, Inc.
    25. Suppliet, Moritz & Herr, Annika, 2016. "Cost-Sharing and Drug Pricing Strategies : Introducing Tiered Co-Payments in Reference Price Markets," Discussion Paper 2016-040, Tilburg University, Center for Economic Research.
    26. Isabelle Nicolaï & Rémy Le Boennec, 2018. "Smart mobility providing smart cities," Post-Print halshs-01794612, HAL.
    27. Agarwal, Sumit & Ding, Yanhao & Kuang, Weida & Zhu, Xiao, 2023. "Are environmental punishments good news or bad news? Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    28. Zheng, Xian & Peng, Wenwei & Hu, Mingzhi, 2020. "Airport noise and house prices: A quasi-experimental design study," Land Use Policy, Elsevier, vol. 90(C).
    29. Suppliet, Moritz & Herr, Annika, 2016. "Cost-Sharing and Drug Pricing Strategies : Introducing Tiered Co-Payments in Reference Price Markets," Other publications TiSEM 4d692f0e-8577-4392-b413-2, Tilburg University, School of Economics and Management.
    30. Hitaj, Claudia & Lynch, Lori & McConnell, Kenneth E. & Tra, Constant I., 2018. "The Value of Ozone Air Quality Improvements to Renters: Evidence From Apartment Building Transactions in Los Angeles County," Ecological Economics, Elsevier, vol. 146(C), pages 706-721.
    31. Jeremy Gabe & Spenser Robinson & Andrew Sanderford, 2022. "Willingness to Pay for Attributes of Location Efficiency," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 384-418, October.
    32. Mei, Yingdan & Hite, Diane & Sohngen, Brent, 2017. "Demand for urban tree cover: A two-stage hedonic price analysis in California," Forest Policy and Economics, Elsevier, vol. 83(C), pages 29-35.
    33. Caetano, Gregorio, 2019. "Neighborhood sorting and the value of public school quality," Journal of Urban Economics, Elsevier, vol. 114(C).
    34. Higgins, Christopher D. & Adams, Matthew D. & Réquia, Weeberb J. & Mohamed, Moataz, 2019. "Accessibility, air pollution, and congestion: Capturing spatial trade-offs from agglomeration in the property market," Land Use Policy, Elsevier, vol. 84(C), pages 177-191.
    35. Walls, Margaret & Kousky, Carolyn & Chu, Ziyan, 2013. "Is What You See What You Get? The Value of Natural Landscape Views," RFF Working Paper Series dp-13-25, Resources for the Future.
    36. Seung Kyum Kim & Paul Joosse & Mia M. Bennett & Terry Gevelt, 2020. "Impacts of green infrastructure on flood risk perceptions in Hong Kong," Climatic Change, Springer, vol. 162(4), pages 2277-2299, October.
    37. Tamru, Seneshaw & Minten, Bart, 2018. "Investing in wet mills and washed coffee in Ethiopia: Benefits and constraints," ESSP working papers 121, International Food Policy Research Institute (IFPRI).
    38. Chakraborti, Lopamudra & Heres, David & Hernandez, Danae, 2019. "Are land values related to ambient air pollution levels? Hedonic evidence from Mexico City," Environment and Development Economics, Cambridge University Press, vol. 24(3), pages 252-270, June.
    39. Wei, Shang-Jin & Lee, Jungho & Xu, Jianhuan, 2021. "The Welfare Cost of a Current Account Imbalance: A 'Clean' Channel," CEPR Discussion Papers 15805, C.E.P.R. Discussion Papers.
    40. Mei, Yingdan & Gao, Li & Zhang, Wendong & Yang, Feng-An, 2021. "Do homeowners benefit when coal-fired power plants switch to natural gas? Evidence from Beijing, China," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    41. Seneshaw Tamru & Bart Minten & Johan Swinnen, 2021. "Trade, value chains, and rent distribution with foreign exchange controls: Coffee exports in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 81-95, January.
    42. Moore, Michael R. & Doubek, Jonathan P. & Xu, Hui & Cardinale, Bradley J., 2020. "Hedonic Price Estimates of Lake Water Quality: Valued Attribute, Instrumental Variables, and Ecological-Economic Benefits," Ecological Economics, Elsevier, vol. 176(C).
    43. Zhang, Wendong & Irwin, Elena G. & Nickerson, Cynthia J., 2012. "The Expanding Ethanol Market and Farmland Values: Identifying the Changing Influence of Proximity to Agricultural Delivery Points," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124690, Agricultural and Applied Economics Association.
    44. Lee, Yong Suk & Sasaki, Yuya, 2018. "Information technology in the property market," Information Economics and Policy, Elsevier, vol. 44(C), pages 1-7.
    45. Fesselmeyer, Eric & Liu, Haoming, 2018. "How much do users value a network expansion? Evidence from the public transit system in Singapore," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 46-61.
    46. Sun, Weizeng & Zheng, Siqi & Wang, Rui, 2015. "The capitalization of subway access in home value: A repeat-rentals model with supply constraints in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 104-115.
    47. Hyun S. Shin & Dominique M. Hanssens & Kyoo il Kim, 2016. "The role of online buzz for leader versus challenger brands: the case of the MP3 player market," Electronic Commerce Research, Springer, vol. 16(4), pages 503-528, December.

  7. Fox, Jeremy T. & Kim, Kyoo il & Ryan, Stephen P. & Bajari, Patrick, 2012. "The random coefficients logit model is identified," Journal of Econometrics, Elsevier, vol. 166(2), pages 204-212.
    See citations under working paper version above.
  8. Jeremy T. Fox & Kyoo il Kim & Stephen P. Ryan & Patrick Bajari, 2011. "A simple estimator for the distribution of random coefficients," Quantitative Economics, Econometric Society, vol. 2(3), pages 381-418, November.

    Cited by:

    1. Olivier Allais & Fabrice Etilé & Sébastien Lecocq, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Post-Print halshs-01213319, HAL.
    2. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2022. "The Use of Scanner Data for Economics Research," TSE Working Papers 22-1286, Toulouse School of Economics (TSE).
    3. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    4. Florian Heiss & Stephan Hetzenecker & Maximilian Osterhaus, 2019. "Nonparametric Estimation of the Random Coefficients Model: An Elastic Net Approach," Papers 1909.08434, arXiv.org, revised Sep 2019.
    5. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," NBER Working Papers 25827, National Bureau of Economic Research, Inc.
    6. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
    7. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    8. Xiyuan Ren & Joseph Y. J. Chow & Venktesh Pandey & Linfei Yuan, 2024. "Integrating an agent-based behavioral model in microtransit forecasting and revenue management," Papers 2408.12577, arXiv.org.
    9. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    10. Jinhyuk Lee & Kyoungwon Seo, 2015. "A computationally fast estimator for random coefficients logit demand models using aggregate data," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 86-102, March.
    11. Olivier Allais; & Fabrice Etile; & Sebastien Lecocq, 2012. "Mandatory labelling, nutritional taxes and market forces: An empirical evaluation of fat policies in the French fromage blanc and yogurt market," Health, Econometrics and Data Group (HEDG) Working Papers 12/14, HEDG, c/o Department of Economics, University of York.
    12. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical Models of Firms and Industries," Working Papers tecipa-580, University of Toronto, Department of Economics.
    13. Breunig, Christoph, 2021. "Varying random coefficient models," Journal of Econometrics, Elsevier, vol. 221(2), pages 381-408.
    14. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
    15. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    16. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    17. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.
    18. Aviv Nevo & John L. Turner & Jonathan W. Williams, 2015. "Usage-Based Pricing and Demand for Residential Broadband," NBER Working Papers 21321, National Bureau of Economic Research, Inc.
    19. Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
    20. Xiyuan Ren & Joseph Y. J. Chow & Prateek Bansal, 2023. "Estimating a k-modal nonparametric mixed logit model with market-level data," Papers 2309.13159, arXiv.org, revised Aug 2024.
    21. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    22. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 08/12, Institute for Fiscal Studies.
    23. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    24. Wesley Blundell & Gautam Gowrisankaran & Ashley Langer, 2018. "Escalation of Scrutiny: The Gains from Dynamic Enforcement of Environmental Regulations," NBER Working Papers 24810, National Bureau of Economic Research, Inc.
    25. Matzkin, Rosa L., 2019. "Constructive identification in some nonseparable discrete choice models," Journal of Econometrics, Elsevier, vol. 211(1), pages 83-103.
    26. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," Ruhr Economic Papers 824, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    27. Christoph Breunig, 2018. "Varying Random Coefficient Models," Papers 1804.03110, arXiv.org, revised Aug 2020.
    28. Gastón Illanes & Manisha Padi, 2019. "Retirement Policy and Annuity Market Equilibria: Evidence from Chile," NBER Working Papers 26285, National Bureau of Economic Research, Inc.
    29. Jeremy T. Fox & Kyoo il Kim, 2011. "A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models," NBER Working Papers 17283, National Bureau of Economic Research, Inc.
    30. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    31. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    32. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2022. "Nonparametric estimation of the random coefficients model: An elastic net approach," Journal of Econometrics, Elsevier, vol. 229(2), pages 299-321.
    33. Sung-Pil Hong & Kyung Min Kim & Suk-Joon Ko, 2021. "Estimating heterogeneous agent preferences by inverse optimization in a randomized nonatomic game," Annals of Operations Research, Springer, vol. 307(1), pages 207-228, December.
    34. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    35. Bernard Salanié & Frank A. Wolak, 2019. "Fast, "Robust", and Approximately Correct: Estimating Mixed Demand Systems," NBER Working Papers 25726, National Bureau of Economic Research, Inc.
    36. Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
    37. Dale O. Stahl, 2019. "A Bayesian Method for Characterizing Population Heterogeneity," Games, MDPI, vol. 10(4), pages 1-12, October.
    38. 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.
    39. Federico Ciliberto & Jonathan W. Williams, 2014. "Does multimarket contact facilitate tacit collusion? Inference on conduct parameters in the airline industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 764-791, December.
    40. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    41. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    42. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    43. Jason Abaluck & Giovanni Compiani, 2020. "A Method to Estimate Discrete Choice Models that is Robust to Consumer Search," NBER Working Papers 26849, National Bureau of Economic Research, Inc.
    44. Maximilian Osterhaus, 2024. "A Sparse Grid Approach for the Nonparametric Estimation of High-Dimensional Random Coefficient Models," Papers 2408.07185, arXiv.org.
    45. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 20/14, Institute for Fiscal Studies.
    46. Giovanni Compiani, 2022. "Market counterfactuals and the specification of multiproduct demand: A nonparametric approach," Quantitative Economics, Econometric Society, vol. 13(2), pages 545-591, May.
    47. Fan, Yanqin & Shi, Xuetao, 2023. "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, vol. 235(2), pages 2005-2026.
    48. Srikanth Jagabathula & Lakshminarayanan Subramanian & Ashwin Venkataraman, 2020. "A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions," Management Science, INFORMS, vol. 66(8), pages 3635-3656, August.

  9. Buchinsky, Moshe & Hahn, Jinyong & Kim, Kyoo il, 2010. "Semiparametric information bound of dynamic discrete choice models," Economics Letters, Elsevier, vol. 108(2), pages 109-112, August.

    Cited by:

    1. Christopher Dobronyi & Jiaying Gu & Kyoo il Kim, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Apr 2021.
    2. Kitazawa, Yoshitsugu, 2022. "Transformations and moment conditions for dynamic fixed effects logit models," Journal of Econometrics, Elsevier, vol. 229(2), pages 350-362.
    3. Yoshitsugu Kitazawa, 2013. "Exploration of dynamic fixed effects logit models from a traditional angle," Discussion Papers 60, Kyushu Sangyo University, Faculty of Economics.

  10. Guggenberger, Patrik & Hahn, Jinyong & Kim, Kyooil, 2008. "Specification testing under moment inequalities," Economics Letters, Elsevier, vol. 99(2), pages 375-378, May.

    Cited by:

    1. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    2. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    3. Le-Yu Chen & Jerzy Szroeter, 2009. "Hypothesis testing of multiple inequalities: the method of constraint chaining," CeMMAP working papers CWP13/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Stelios Arvanitis & O. Scaillet & Nikolas Topaloglou, 2018. "Spanning Tests for Markowitz Stochastic Dominance," Swiss Finance Institute Research Paper Series 18-08, Swiss Finance Institute.
    5. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    6. Marcoux, Mathieu & Russell, Thomas M. & Wan, Yuanyuan, 2024. "A simple specification test for models with many conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 242(1).
    7. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    8. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    9. Adam Rosen, 2006. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," CeMMAP working papers CWP25/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    11. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2011.
    13. Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.
    14. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers CWP01/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Jun, Sung Jae & Pinkse, Joris, 2009. "Semiparametric tests of conditional moment restrictions under weak or partial identification," Journal of Econometrics, Elsevier, vol. 152(1), pages 3-18, September.
    16. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    17. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.

  11. Kyoo il Kim, 2007. "Uniform convergence rate of the seminonparametric density estimator and testing for similarity of two unknown densities," Econometrics Journal, Royal Economic Society, vol. 10(1), pages 1-34, March.

    Cited by:

    1. Antonio Merlo & Áureo de Paula, 2015. "Identification and estimation of preference distributions when voters are ideological," CeMMAP working papers 50/15, Institute for Fiscal Studies.
    2. Hening Liu & Le Wang, 2010. "Time series analysis of income convergence in China," Applied Economics Letters, Taylor & Francis Journals, vol. 17(1), pages 25-29, January.
    3. Antonio Merlo & Aureo de Paula, 2010. "Identification and Estimation of Preference Distributions When Voters Are Ideological, Second Version," PIER Working Paper Archive 13-055, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 13 Oct 2013.

  12. Kim, Kyoo il, 2006. "Sample selection models with a common dummy endogenous regressor in simultaneous equations: A simple two-step estimation," Economics Letters, Elsevier, vol. 91(2), pages 280-286, May.

    Cited by:

    1. Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. "“If You Were Me”: Proxy Respondents’ Biases in Population Health Surveys," AMSE Working Papers 1905, Aix-Marseille School of Economics, France.
    2. Margherita Comola & Luiz de Mello, 2010. "Educational attainment and selection into the labour market: The determinants of employment and earnings in Indonesia," Working Papers halshs-00564835, HAL.
    3. Abel, Guy & Brottrager, Michael & Crespo Cuaresma, Jesus & Muttarak, Raya, 2018. "Climate, Conflict and Forced Migration," Department of Economics Working Paper Series 272, WU Vienna University of Economics and Business.
    4. Patricia Moreno-Mencía & Juan M. Rodríguez-Poo & David Cantarero-Prieto, 2021. "A Multi-step Process Approach for Estimating Public Sector Wages. The Spanish Expe¬rience," Hacienda Pública Española / Review of Public Economics, IEF, vol. 237(2), pages 33-56, June.
    5. Yingying Dong, 2013. "How Health Insurance Affects Health Care Demand—A Structural Analysis Of Behavioral Moral Hazard And Adverse Selection," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1324-1344, April.

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