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Jason R. Blevins

Personal Details

First Name:Jason
Middle Name:R.
Last Name:Blevins
Suffix:
RePEc Short-ID:pbl86
http://jblevins.org/

Affiliation

Department of Economics
Ohio State University

Columbus, Ohio (United States)
http://economics.osu.edu/

(614) 292 2639
(614) 292 3906
410 Arps Hall, 1945 N. High St., Columbus, Ohio 4321
RePEc:edi:deohsus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Feb 2021.
  2. Jason Blevins & Shakeeb Khan, 2015. "Distribution-Free Estimation of Heteroskedastic Binary Response Models in Stata," 2015 Stata Conference 19, Stata Users Group.
  3. Jason R. Blevins & Garrett T. Senney, 2014. "Dynamic Selection and Distributional Bounds on Search Costs in Dynamic Unit-Demand Models," Working Papers 14-02, Ohio State University, Department of Economics.
  4. Jason R. Blevins, 2014. "Structural Estimation of Sequential Games of Complete Information," Working Papers 14-01, Ohio State University, Department of Economics.
  5. Jason R. Blevins, 2013. "Non-Standard Rates of Convergence of Criterion-Function-Based Set Estimators," Working Papers 13-02, Ohio State University, Department of Economics.
  6. Jason R. Blevins, 2013. "Identifying Restrictions for Finite Parameter Continuous Time Models with Discrete Time Data," Working Papers 13-01, Ohio State University, Department of Economics.
  7. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2012. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," NBER Working Papers 18449, National Bureau of Economic Research, Inc.
  8. Jason R. Blevins, 2011. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Working Papers 11-01, Ohio State University, Department of Economics.
  9. Jason R. Blevins, 2010. "Nonparametric Identification of Dynamic Games with Discrete and Continuous Choices," Working Papers 10-02, Ohio State University, Department of Economics.
  10. Peter Arcidiacono & Patrick J. Bayer & Jason R. Blevins & Paul Ellickson, 2010. "Estimation of Dynamic Discrete Choice Models in Continuous Time," Working Papers 10-49, Duke University, Department of Economics.

Articles

  1. Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.
  2. Jason R. Blevins & Garrett T. Senney, 2019. "Dynamic selection and distributional bounds on search costs in dynamic unit‐demand models," Quantitative Economics, Econometric Society, vol. 10(3), pages 891-929, July.
  3. Jason R. Blevins & Ahmed Khwaja & Nathan Yang, 2018. "Firm Expansion, Size Spillovers, and Market Dominance in Retail Chain Dynamics," Management Science, INFORMS, vol. 64(9), pages 4070-4093.
  4. Blevins, Jason R., 2017. "Identifying Restrictions For Finite Parameter Continuous Time Models With Discrete Time Data," Econometric Theory, Cambridge University Press, vol. 33(3), pages 739-754, June.
  5. Jason R. Blevins, 2016. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 773-804, August.
  6. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2016. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," Review of Economic Studies, Oxford University Press, vol. 83(3), pages 889-931.
  7. Jason R. Blevins, 2015. "Structural Estimation Of Sequential Games Of Complete Information," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 791-811, April.
  8. Jason R. Blevins, 2015. "Non‐standard rates of convergence of criterion‐function‐based set estimators for binary response models," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 172-199, June.
  9. Jason R. Blevins, 2014. "Nonparametric identification of dynamic decision processes with discrete and continuous choices," Quantitative Economics, Econometric Society, vol. 5(3), pages 531-554, November.
  10. Jason R. Blevins & Shakeeb Khan, 2013. "Local NLLS estimation of semi‐parametric binary choice models," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 135-160, June.
  11. Jason R. Blevins & Shakeeb Khan, 2013. "Distribution-free estimation of heteroskedastic binary response models in Stata," Stata Journal, StataCorp LP, vol. 13(3), pages 588-602, September.

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. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Feb 2021.

    Cited by:

    1. Victor Aguirregabiria & Mathieu Marcoux, 2019. "Imposing equilibrium restrictions in the estimation of dynamic discrete games," Cahiers de recherche 2019-08, Universite de Montreal, Departement de sciences economiques.

  2. Jason Blevins & Shakeeb Khan, 2015. "Distribution-Free Estimation of Heteroskedastic Binary Response Models in Stata," 2015 Stata Conference 19, Stata Users Group.

    Cited by:

    1. Arduini, Tiziano & De Arcangelis, Giuseppe & Del Bello, Carlo Leone, 2011. "Currency Crises During the Great Recession: Is This Time Different?," MPRA Paper 36528, University Library of Munich, Germany.
    2. T. Arduini, 2016. "Distribution Free Estimation of Spatial Autoregressive Binary Choice Panel Data Models," Working Papers wp1052, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    4. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    5. Tiziano Arduini & Giuseppe De Arcangelis & Carlo L. Del Bello, 2012. "Balance-of-Payments Crises During the Great Recession: Is This Time Different?," Review of International Economics, Wiley Blackwell, vol. 20(3), pages 517-534, August.
    6. Satimanon, Monthien & Lupi, Frank, 2010. "Comparison of Approaches to Estimating Demand for Payment for Environmental Services," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61288, Agricultural and Applied Economics Association.
    7. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2016. "Informational content of special regressors in heteroskedastic binary response models," Journal of Econometrics, Elsevier, vol. 193(1), pages 162-182.
    8. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.
    9. Edoardo Rainone, 2017. "Pairwise trading in the money market during the European sovereign debt crisis," Temi di discussione (Economic working papers) 1160, Bank of Italy, Economic Research and International Relations Area.
    10. Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2015. "Parametric and Semiparametric IV Estimation of Network Models with Selectivity," EIEF Working Papers Series 1509, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2015.
    11. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.

  3. Jason R. Blevins & Garrett T. Senney, 2014. "Dynamic Selection and Distributional Bounds on Search Costs in Dynamic Unit-Demand Models," Working Papers 14-02, Ohio State University, Department of Economics.

    Cited by:

    1. Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2015. "Minimum Distance Estimation of Search Costs using Price Distribution," Working Papers, Department of Economics 2015_31, University of São Paulo (FEA-USP).

  4. Jason R. Blevins, 2013. "Non-Standard Rates of Convergence of Criterion-Function-Based Set Estimators," Working Papers 13-02, Ohio State University, Department of Economics.

    Cited by:

    1. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    2. Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models," CeMMAP working papers CWP51/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Yuanyuan Wan & Haiqing Xu, 2013. "Inference in Semiparametric Binary Response Models with Interval Data," Working Papers tecipa-492, University of Toronto, Department of Economics.
    4. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    5. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Yuanyuan Wan & Haiqing Xu, 2010. "Semiparametric identification and estimation of binary discrete games of incomplete information with correlated private signals," Department of Economics Working Papers 130913, The University of Texas at Austin, Department of Economics.

  5. Jason R. Blevins, 2013. "Identifying Restrictions for Finite Parameter Continuous Time Models with Discrete Time Data," Working Papers 13-01, Ohio State University, Department of Economics.

    Cited by:

    1. Chambers, MJ & McCrorie, JR & Thornton, MA, 2017. "Continuous Time Modelling Based on an Exact Discrete Time Representation," Economics Discussion Papers 20497, University of Essex, Department of Economics.
    2. Nail Kashaev & Natalia Lazzati, 2019. "Peer Effects in Random Consideration Sets," Papers 1904.06742, arXiv.org, revised Sep 2020.
    3. Hong, Han & Li, Weiming & Wang, Boyu, 2015. "Estimation of dynamic discrete models from time aggregated data," Journal of Econometrics, Elsevier, vol. 188(2), pages 435-446.

  6. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2012. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," NBER Working Papers 18449, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Feb 2021.
    3. Sofia Moroni, 2019. "Existence of trembling hand perfect and sequential equilibrium in games with stochastic timing of moves," Working Paper 6757, Department of Economics, University of Pittsburgh.
    4. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2013. "Testing for equilibrium multiplicity in dynamic Markov games," LSE Research Online Documents on Economics 101968, London School of Economics and Political Science, LSE Library.
    5. Koster, Hans R.A. & Pasidis, Ilias & van Ommeren, Jos, 2019. "Shopping externalities and retail concentration: Evidence from dutch shopping streets," Journal of Urban Economics, Elsevier, vol. 114(C).
    6. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2016. "Identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 271-323, December.
    7. Doraszelski, Ulrich & Escobar, Juan, 2016. "Protocol Invariance and the Timing of Decisions in Dynamic Games," CEPR Discussion Papers 11447, C.E.P.R. Discussion Papers.
    8. Ulrich Doraszelski & Kenneth L. Judd, 2019. "Dynamic stochastic games with random moves," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 59-79, March.
    9. Kun Gao & Minhua Shao & Lijun Sun, 2019. "Roles of Psychological Resistance to Change Factors and Heterogeneity in Car Stickiness and Transit Loyalty in Mode Shift Behavior: A Hybrid Choice Approach," Sustainability, MDPI, Open Access Journal, vol. 11(17), pages 1-20, September.
    10. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2014. "Testing Equilibrium Multiplicity in Dynamic Games," CEPR Discussion Papers 10111, C.E.P.R. Discussion Papers.
    11. Metin Çakır & Xiangwen Kong & Clare Cho & Alexander Stevens, 2020. "Rural Food Retailing and Independent Grocery Retailer Exits," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1352-1367, October.
    12. Sofia Moroni, 2020. "Existence of Trembling hand perfect and sequential equilibrium in Stochastic Games," Working Paper 6837, Department of Economics, University of Pittsburgh.
    13. Nikhil Agarwal & Itai Ashlagi & Michael A. Rees & Paulo J. Somaini & Daniel C. Waldinger, 2019. "Equilibrium Allocations under Alternative Waitlist Designs: Evidence from Deceased Donor Kidneys," NBER Working Papers 25607, National Bureau of Economic Research, Inc.

  7. Jason R. Blevins, 2011. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Working Papers 11-01, Ohio State University, Department of Economics.

    Cited by:

    1. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Hu Yingyao & Shum Matthew & Tan Wei & Xiao Ruli, 2017. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-16, January.
    3. Steven T. Berry & Giovanni Compiani, 2020. "An Instrumental Variable Approach to Dynamic Models," NBER Working Papers 27756, National Bureau of Economic Research, Inc.
    4. Hanming Fang & Edward Kung, 2012. "Why Do Life Insurance Policyholders Lapse? The Roles of Income, Health and Bequest Motive Shocks," NBER Working Papers 17899, National Bureau of Economic Research, Inc.
    5. Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.
    6. Steven T. Berry & Giovanni Compiani, 2020. "An Instrumental Variable Approach to Dynamic Models," Working Papers 2020-106, Becker Friedman Institute for Research In Economics.
    7. Jason R. Blevins & Ahmed Khwaja & Nathan Yang, 2018. "Firm Expansion, Size Spillovers, and Market Dominance in Retail Chain Dynamics," Management Science, INFORMS, vol. 64(9), pages 4070-4093.
    8. Neil Shephard & Arnaud Doucet, 2012. "Robust inference on parameters via particle filters and sandwich covariance matrices," Economics Series Working Papers 606, University of Oxford, Department of Economics.
    9. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    10. 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.
    11. Yingyao Hu & Matthew Shum, 2008. "Identifying Dynamic Games with Serially-Correlated Unobservables," Economics Working Paper Archive 546, The Johns Hopkins University,Department of Economics.
    12. Mitsukuni Nishida & Nathan Yang, 2014. "Better Together? Retail Chain Performance Dynamics in Store Expansion Before and After Mergers," Working Papers 14-08, NET Institute.
    13. Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
    14. Gallant, A. Ronald & Hong, Han & Khwaja, Ahmed, 2018. "A Bayesian approach to estimation of dynamic models with small and large number of heterogeneous players and latent serially correlated states," Journal of Econometrics, Elsevier, vol. 203(1), pages 19-32.

  8. Jason R. Blevins, 2010. "Nonparametric Identification of Dynamic Games with Discrete and Continuous Choices," Working Papers 10-02, Ohio State University, Department of Economics.

    Cited by:

    1. Jason R. Blevins, 2015. "Structural Estimation Of Sequential Games Of Complete Information," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 791-811, April.
    2. Nathan Yang, 2011. "An Empirical Model of Industry Dynamics with Common Uncertainty and Learning from the Actions of Competitors," Working Papers 11-16, NET Institute.

  9. Peter Arcidiacono & Patrick J. Bayer & Jason R. Blevins & Paul Ellickson, 2010. "Estimation of Dynamic Discrete Choice Models in Continuous Time," Working Papers 10-49, Duke University, Department of Economics.

    Cited by:

    1. Nicolai V. Kuminoff & V. Kerry Smith & Christopher Timmins, 2013. "The New Economics of Equilibrium Sorting and Policy Evaluation Using Housing Markets," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1007-1062, December.
    2. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2013. "Testing for Equilibrium Multiplicity in Dynamic Markov Games," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 423, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    3. Nicolai V. Kuminoff & V. Kerry Smith & Christopher Timmins, 2010. "The New Economics of Equilibrium Sorting and its Transformational Role for Policy Evaluation," NBER Working Papers 16349, National Bureau of Economic Research, Inc.
    4. Takahashi, Yuya, 2013. "Estimating a War of Attrition: The Case of the U.S. Movie Theater Industry," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 424, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    5. Peter Arcidiacono & Paul B. Ellickson, 2011. "Practical Methods for Estimation of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 363-394, September.
    6. Doraszelski, Ulrich & Escobar, Juan, 2016. "Protocol Invariance and the Timing of Decisions in Dynamic Games," CEPR Discussion Papers 11447, C.E.P.R. Discussion Papers.
    7. James Heckman & John Eric Humphries & Gregory Veramendi & Sergio Urzua, 2014. "Education, Health and Wages," Working Papers 2014-007, Human Capital and Economic Opportunity Working Group.
    8. Taisuke Otsu & Martin Pesendorfer & Yuya Takahashi, 2016. "Pooling data across markets in dynamic Markov games," Quantitative Economics, Econometric Society, vol. 7(2), pages 523-559, July.
    9. Hong, Han & Li, Weiming & Wang, Boyu, 2015. "Estimation of dynamic discrete models from time aggregated data," Journal of Econometrics, Elsevier, vol. 188(2), pages 435-446.
    10. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2014. "Testing Equilibrium Multiplicity in Dynamic Games," CEPR Discussion Papers 10111, C.E.P.R. Discussion Papers.
    11. Aguirregabiria, Victor & Suzuki, Junichi, 2015. "Empirical Games of Market Entry and Spatial Competition in Retail Industries," CEPR Discussion Papers 10410, C.E.P.R. Discussion Papers.
    12. Andrew Sweeting, 2015. "A Model of Non-Stationary Dynamic Price Competition with an Application to Platform Design," Working Papers 15-03, NET Institute.

Articles

  1. Jason R. Blevins & Garrett T. Senney, 2019. "Dynamic selection and distributional bounds on search costs in dynamic unit‐demand models," Quantitative Economics, Econometric Society, vol. 10(3), pages 891-929, July.
    See citations under working paper version above.
  2. Jason R. Blevins & Ahmed Khwaja & Nathan Yang, 2018. "Firm Expansion, Size Spillovers, and Market Dominance in Retail Chain Dynamics," Management Science, INFORMS, vol. 64(9), pages 4070-4093.

    Cited by:

    1. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," CEPR Discussion Papers 13240, C.E.P.R. Discussion Papers.
    2. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.

  3. Blevins, Jason R., 2017. "Identifying Restrictions For Finite Parameter Continuous Time Models With Discrete Time Data," Econometric Theory, Cambridge University Press, vol. 33(3), pages 739-754, June.
    See citations under working paper version above.
  4. Jason R. Blevins, 2016. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 773-804, August.
    See citations under working paper version above.
  5. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2016. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," Review of Economic Studies, Oxford University Press, vol. 83(3), pages 889-931.
    See citations under working paper version above.
  6. Jason R. Blevins, 2015. "Non‐standard rates of convergence of criterion‐function‐based set estimators for binary response models," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 172-199, June.

    Cited by:

    1. Adam M. Rosen & Takuya Ura, 2019. "Finite Sample Inference for the Maximum Score Estimand," Papers 1903.01511, arXiv.org, revised May 2020.

  7. Jason R. Blevins, 2014. "Nonparametric identification of dynamic decision processes with discrete and continuous choices," Quantitative Economics, Econometric Society, vol. 5(3), pages 531-554, November.

    Cited by:

    1. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    2. Timothy M. Christensen, 2018. "Dynamic Models with Robust Decision Makers: Identification and Estimation," Papers 1812.11246, arXiv.org, revised Jan 2019.
    3. Gregory Veramendi & John Eric Humphries & James J. Heckman, 2016. "Returns to Education: The Causal Effects of Education on Earnings, Health and Smoking," Working Papers id:10908, eSocialSciences.
    4. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.
    5. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    6. James J. Heckman & Rodrigo Pinto, 2018. "Unordered Monotonicity," Econometrica, Econometric Society, vol. 86(1), pages 1-35, January.
    7. Levy, Matthew & Schiraldi, Pasquale, 2020. "Identification of intertemporal preferences in history-dependent dynamic discrete choice models," CEPR Discussion Papers 14447, C.E.P.R. Discussion Papers.
    8. Arcidiacono, Peter & Miller, Robert A., 2020. "Identifying dynamic discrete choice models off short panels," Journal of Econometrics, Elsevier, vol. 215(2), pages 473-485.
    9. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," CEPR Discussion Papers 13240, C.E.P.R. Discussion Papers.
    10. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.
    11. Otero, Karina V., 2016. "Nonparametric identification of dynamic multinomial choice games: unknown payoffs and shocks without interchangeability," MPRA Paper 86784, University Library of Munich, Germany.
    12. Kalouptsidi, Myrto & Scott, Paul & Souza-Rodrigues, Eduardo, 2017. "Identification of Counterfactuals in Dynamic Discrete Choice Models," CEPR Discussion Papers 12470, C.E.P.R. Discussion Papers.
    13. Timothy M. Christensen, 2020. "Existence and uniqueness of recursive utilities without boundedness," Papers 2008.00963, arXiv.org, revised Dec 2020.

  8. Jason R. Blevins & Shakeeb Khan, 2013. "Local NLLS estimation of semi‐parametric binary choice models," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 135-160, June.

    Cited by:

    1. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Other publications TiSEM d63bf400-7ff2-4a1c-8067-1, Tilburg University, School of Economics and Management.
    2. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    3. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    4. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.
    5. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    6. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2016. "Informational content of special regressors in heteroskedastic binary response models," Journal of Econometrics, Elsevier, vol. 193(1), pages 162-182.
    7. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.

  9. Jason R. Blevins & Shakeeb Khan, 2013. "Distribution-free estimation of heteroskedastic binary response models in Stata," Stata Journal, StataCorp LP, vol. 13(3), pages 588-602, September. See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers 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-ECM: Econometrics (8) 2010-12-11 2011-05-14 2012-10-20 2013-11-29 2014-01-17 2014-07-28 2014-11-22 2020-02-03. Author is listed
  2. NEP-DCM: Discrete Choice Models (4) 2010-12-11 2011-05-14 2012-10-20 2020-02-03
  3. NEP-ORE: Operations Research (4) 2011-05-14 2014-07-28 2015-09-18 2020-02-03
  4. NEP-COM: Industrial Competition (3) 2012-10-20 2014-07-28 2014-11-22
  5. NEP-GTH: Game Theory (3) 2010-12-11 2014-07-28 2020-02-03
  6. NEP-MIC: Microeconomics (1) 2011-05-14

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