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Sanjog Misra

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. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.

    Cited by:

    1. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    2. Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
    3. Simon, Frederik & Weibels, Sebastian & Zimmermann, Tom, 2023. "Deep parametric portfolio policies," CFR Working Papers 23-01, University of Cologne, Centre for Financial Research (CFR).
    4. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion," Papers 2405.10498, arXiv.org.

  2. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.

    Cited by:

    1. Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," Papers 2010.08463, arXiv.org, revised Nov 2021.
    2. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    3. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Isaiah Hull & Anna Grodecka-Messi, 2022. "Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach," Papers 2203.14751, arXiv.org.
    5. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. Jason Poulos & Shuxi Zeng, 2021. "RNN‐based counterfactual prediction, with an application to homestead policy and public schooling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 1124-1139, August.
    7. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2022. "Machine Learning the Carbon Footprint of Bitcoin Mining," JRFM, MDPI, vol. 15(2), pages 1-30, February.
    8. Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021. "Deep Structural Estimation:With an Application to Option Pricing," Cahiers de Recherches Economiques du Département d'économie 21.14, Université de Lausanne, Faculté des HEC, Département d’économie.
    9. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    10. Konrad Menzel, 2021. "Structural Sieves," Papers 2112.01377, arXiv.org, revised Apr 2022.
    11. Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
    12. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "ddml: Double/debiased machine learning in Stata," Stata Journal, StataCorp LP, vol. 24(1), pages 3-45, March.
    13. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
    14. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    15. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Forecasting, MDPI, vol. 3(2), pages 1-44, May.
    16. Daniel Jacob, 2021. "CATE meets ML," Digital Finance, Springer, vol. 3(2), pages 99-148, June.
    17. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, Institute of Labor Economics (IZA).
    18. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021. "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers 2136, Banco de España.
    19. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    20. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    21. Maur,Jean-Christophe & Nedeljkovic,Milan & Von Uexkull,Jan Erik, 2022. "FDI and Trade Outcomes at the Industry Level—A Data-Driven Approach," Policy Research Working Paper Series 9901, The World Bank.
    22. Peng Jin & Wenbin Lu & Yu Chen & Mengling Liu, 2023. "Change‐plane analysis for subgroup detection with a continuous treatment," Biometrics, The International Biometric Society, vol. 79(3), pages 1920-1933, September.
    23. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    24. Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation and Inference for a Class of Generalized Hierarchical Models," Papers 2311.02789, arXiv.org, revised Apr 2024.
    25. Hofert, Marius & Prasad, Avinash & Zhu, Mu, 2022. "Multivariate time-series modeling with generative neural networks," Econometrics and Statistics, Elsevier, vol. 23(C), pages 147-164.
    26. Shi, Chengchun & Zhou, Yunzhe & Li, Lexin, 2023. "Testing directed acyclic graph via structural, supervised and generative adversarial learning," LSE Research Online Documents on Economics 119446, London School of Economics and Political Science, LSE Library.
    27. Shi, Chengchun & Luo, Shikai & Le, Yuan & Zhu, Hongtu & Song, Rui, 2022. "Statistically efficient advantage learning for offline reinforcement learning in infinite horizons," LSE Research Online Documents on Economics 115598, London School of Economics and Political Science, LSE Library.
    28. Chen, Xiaohong & Liu, Ying & Ma, Shujie & Zhang, Zheng, 2024. "Causal inference of general treatment effects using neural networks with a diverging number of confounders," Journal of Econometrics, Elsevier, vol. 238(1).
    29. Fallahgoul, Hasan & Franstianto, Vincentius & Lin, Xin, 2024. "Asset pricing with neural networks: Significance tests," Journal of Econometrics, Elsevier, vol. 238(1).
    30. Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
    31. Jikai Jin & Vasilis Syrgkanis, 2024. "Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation," Papers 2402.14264, arXiv.org, revised Mar 2024.
    32. Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
    33. Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "Automatic Debiased Machine Learning via Riesz Regression," Papers 2104.14737, arXiv.org, revised Mar 2024.
    34. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
    35. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for a Continuous Treatment," Papers 2402.02535, arXiv.org.
    36. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
    37. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    38. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
    39. Dylan J. Foster & Vasilis Syrgkanis, 2019. "Orthogonal Statistical Learning," Papers 1901.09036, arXiv.org, revised Jun 2023.
    40. Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021. "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers 2110.04365, arXiv.org, revised Dec 2022.
    41. Anna Baiardi & Andrea A Naghi, 2024. "The value added of machine learning to causal inference: evidence from revisited studies," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 213-234.
    42. Nan Liu & Yanbo Liu & Yuya Sasaki, 2024. "Estimation and Inference for Causal Functions with Multiway Clustered Data," Papers 2409.06654, arXiv.org.
    43. Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.
    44. Zhou, Yunzhe & Shi, Chengchun & Li, Lexin & Yao, Qiwei, 2023. "Testing for the Markov property in time series via deep conditional generative learning," LSE Research Online Documents on Economics 119352, London School of Economics and Political Science, LSE Library.
    45. Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks," Monash Econometrics and Business Statistics Working Papers 21/23, Monash University, Department of Econometrics and Business Statistics.
    46. Chronopoulos, Ilias & Raftapostolos, Aristeidis & Kapetanios, George, 2023. "Forecasting Value-at-Risk using deep neural network quantile regression," Essex Finance Centre Working Papers 34837, University of Essex, Essex Business School.
    47. Sven Klaassen & Jan Teichert-Kluge & Philipp Bach & Victor Chernozhukov & Martin Spindler & Suhas Vijaykumar, 2024. "DoubleMLDeep: Estimation of Causal Effects with Multimodal Data," Papers 2402.01785, arXiv.org.
    48. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "Model Averaging and Double Machine Learning," Papers 2401.01645, arXiv.org, revised Sep 2024.
    49. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    50. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    51. Matthew Harding & Gabriel F. R. Vasconcelos, 2022. "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers 2202.04218, arXiv.org.
    52. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    53. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    54. Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
    55. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    56. Alena Skolkova, 2023. "Instrumental Variable Estimation with Many Instruments Using Elastic-Net IV," CERGE-EI Working Papers wp759, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    57. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
    58. Stephan Hetzenecker & Maximilian Osterhaus, 2024. "Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models," Papers 2408.09560, arXiv.org.
    59. Damir Filipovi'c & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers 2212.01048, arXiv.org.
    60. Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
    61. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    62. Cai, Hengrui & Shi, Chengchun & Song, Rui & Lu, Wenbin, 2023. "Jump interval-learning for individualized decision making with continuous treatments," LSE Research Online Documents on Economics 118231, London School of Economics and Political Science, LSE Library.
    63. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
    64. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    65. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    66. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
    67. Stijn Vansteelandt & Oliver Dukes, 2022. "Authors' reply to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 729-739, July.
    68. Yukang Jiang & Xueqin Wang & Zhixi Xiong & Haisheng Yang & Ting Tian, 2022. "Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model," Papers 2209.05998, arXiv.org.
    69. Lin Liu & Chang Li, 2023. "New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators," Papers 2302.08097, arXiv.org.
    70. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2020. "Neural Network Models for Empirical Finance," JRFM, MDPI, vol. 13(11), pages 1-22, October.
    71. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    72. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion," Papers 2405.10498, arXiv.org.
    73. Tommaso Manfè & Luca Nunziata, 2023. "Difference-In-Difference Design With Repeated Cross-Sections Under Compositional Changes: a Monte-Carlo Evaluation of Alternative Approaches," "Marco Fanno" Working Papers 0305, Dipartimento di Scienze Economiche "Marco Fanno".
    74. Victor Quintas-Martinez, 2022. "Finite-Sample Guarantees for High-Dimensional DML," Papers 2206.07386, arXiv.org.
    75. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.
    76. Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.
    77. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Oct 2024.
    78. Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.

  3. Hofstetter, Reto & Nair, Harikesh S. & Misra, Sanjog, 2018. "A Copycat Penalty: Micro Evidence From an Online Crowdsourcing Platform," Research Papers 3643, Stanford University, Graduate School of Business.

    Cited by:

    1. Segev, Ella, 2020. "Crowdsourcing contests," European Journal of Operational Research, Elsevier, vol. 281(2), pages 241-255.

  4. Jean-Pierre Dubé & Sanjog Misra, 2017. "Personalized Pricing and Consumer Welfare," NBER Working Papers 23775, National Bureau of Economic Research, Inc.

    Cited by:

    1. Rosa-Branca Esteves & Francisco Carballo-Cruz, 2021. "Access to Data for Personalized Pricing: Can it raise entry barriers and abuse of dominance concerns?," NIPE Working Papers 05/2021, NIPE - Universidade do Minho.
    2. Bruno Jullien & Markus Reisinger & Patrick Rey, 2022. "Personalized Pricing and Distribution Strategies," Working Papers hal-03632634, HAL.
    3. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2021. "Data Brokers Co-Opetition," Working Papers 202101, University of Liverpool, Department of Economics.
    4. Snir, Avichai & Levy, Daniel, 2019. "If You Think 9-Ending Prices Are Low, Think Again," MPRA Paper 94469, University Library of Munich, Germany.
    5. Michael A. Ribers & Hannes Ullrich, 2019. "Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?," Discussion Papers of DIW Berlin 1803, DIW Berlin, German Institute for Economic Research.
    6. O’Connor, Jason & Wilson, Nathan E., 2021. "Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition," Information Economics and Policy, Elsevier, vol. 54(C).
    7. David Holtz & Ruben Lobel & Inessa Liskovich & Sinan Aral, 2020. "Reducing Interference Bias in Online Marketplace Pricing Experiments," Papers 2004.12489, arXiv.org.
    8. Benjamin Reed Shiller, 2020. "Approximating Purchase Propensities And Reservation Prices From Broad Consumer Tracking," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 847-870, May.
    9. Loertscher, Simon & Marx, Leslie M., 2020. "Digital monopolies: Privacy protection or price regulation?," International Journal of Industrial Organization, Elsevier, vol. 71(C).

  5. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.

    Cited by:

    1. Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val, 2017. "Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," Papers 1712.04802, arXiv.org, revised Oct 2023.
    3. Jean-Pierre Dubé & Sanjog Misra, 2017. "Personalized Pricing and Consumer Welfare," NBER Working Papers 23775, National Bureau of Economic Research, Inc.
    4. Damian Kozbur, 2013. "Inference in additively separable models with a high-dimensional set of conditioning variables," ECON - Working Papers 284, Department of Economics - University of Zurich, revised Apr 2018.
    5. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.

  6. Nair, Harikesh S. & Misra, Sanjog & Hornbuckle, William J., IV & Mishra, Ranjan & Acharya, Anand, 2014. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Research Papers 3088, Stanford University, Graduate School of Business.

    Cited by:

    1. Du, Ruihuan & Zhong, Yu & Nair, Harikesh S. & Cui, Bo & Shou, Ruyang, 2019. "Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network," Research Papers 3761, Stanford University, Graduate School of Business.
    2. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    3. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    4. Djonata Schiessl & Helison Bertoli Alves Dias & José Carlos Korelo, 2022. "Artificial intelligence in marketing: a network analysis and future agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 207-218, September.
    5. Nastasoiu, Alina & Vandenbosch, Mark, 2019. "Competing with loyalty: How to design successful customer loyalty reward programs," Business Horizons, Elsevier, vol. 62(2), pages 207-214.
    6. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    7. Hee Mok Park & Joseph Pancras, 2022. "Social and Spatiotemporal Impacts of Casino Jackpot Events," Marketing Science, INFORMS, vol. 41(3), pages 575-592, May.
    8. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    9. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    10. Hauke A. Wetzel & Stefan Hattula & Maik Hammerschmidt & Harald J. Heerde, 2018. "Building and leveraging sports brands: evidence from 50 years of German professional soccer," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 591-611, July.
    11. Luca Panzone & Guy Garrod & Felice Adinolfi & Jorgelina Di Pasquale, 2022. "Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 666-689, September.
    12. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.
    13. Dror Hermel & Benny Mantin & Yossi Aviv, 2022. "Can coupons counteract strategic consumer behavior?," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 262-273, June.
    14. Julian Runge & Jonathan Levav & Harikesh S. Nair, 2022. "Price promotions and “freemium” app monetization," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 101-139, June.
    15. Sinha, Priyank & Sainy, Romi, 2021. "How can Indian small-scale fashion retailers survive COVID-19 disruption?-A Brand Portfolio Optimization Perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).

  7. Ellickson, Paul B. & Misra, Sanjog & Nair, Harikesh S., 2011. "Repositioning Dynamics and Pricing Strategy," Research Papers 2075, Stanford University, Graduate School of Business.

    Cited by:

    1. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    2. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.
    3. Victor Aguirregabiria & Junichi Suzuki, 2014. "Identification and counterfactuals in dynamic models of market entry and exit," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 267-304, September.
    4. Sanjog Misra & Harikesh Nair, 2011. "A structural model of salesforce compensation dynamics: Response to Profs. Rust and Staelin," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 267-273, September.

  8. Misra, Sanjog & Nair, Harikesh, 2009. "A Structural Model of Sales-Force Compensation Dynamics: Estimation and Field Implementation," Research Papers 2037, Stanford University, Graduate School of Business.

    Cited by:

    1. Zheyin (Jane) Gu & Yunchuan Liu, 2018. "Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 441-472, December.
    2. Gökkoca, Gökçe, 2024. "Antibiotic Stewardship in Primary Care: Evidence from Pay-for-Performance in France," TSE Working Papers 24-1567, Toulouse School of Economics (TSE).
    3. Sanjay Jain, 2012. "Self-Control and Incentives: An Analysis of Multiperiod Quota Plans," Marketing Science, INFORMS, vol. 31(5), pages 855-869, September.
    4. Bicheng Yang & Tat Chan & Raphael Thomadsen, 2019. "A Salesforce-Driven Model of Consumer Choice," Marketing Science, INFORMS, vol. 38(5), pages 871-887, September.
    5. Duncan Simester & Juanjuan Zhang, 2014. "Why Do Salespeople Spend So Much Time Lobbying for Low Prices?," Marketing Science, INFORMS, vol. 33(6), pages 796-808, November.
    6. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2016. "Multidimensional Sales Incentives in CRM Settings: Customer Adverse Selection and Moral Hazard," Cowles Foundation Discussion Papers 2085, Cowles Foundation for Research in Economics, Yale University.
    7. Jérémie Gallien & Stephen C. Graves & Alan Scheller-Wolf, 2016. "OM Forum—Practice-Based Research in Operations Management: What It Is, Why Do It, Related Challenges, and How to Overcome Them," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 5-14, February.
    8. Ali Yurukoglu & Claire Lim, 2014. "Dynamic Natural Monopoly Regulation: Time Inconsistency, Asymmetric Information, and Political Environments," 2014 Meeting Papers 530, Society for Economic Dynamics.
    9. John Rust, 2014. "The Limits of Inference with Theory: A Review of Wolpin (2013)," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 820-850, September.
    10. 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.
    11. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    12. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    13. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    14. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2018. "When Salespeople Manage Customer Relationships: Multidimensional Incentives and Private Information," Cowles Foundation Discussion Papers 2122, Cowles Foundation for Research in Economics, Yale University.
    15. John Rust & Sungjin Cho, 2018. "Optimal Dynamic Hotel Pricing," 2018 Meeting Papers 179, Society for Economic Dynamics.
    16. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199, Cowles Foundation for Research in Economics, Yale University.
    17. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    81. Aguirregabiria, Victor, 2009. "Estimation of Dynamic Discrete Games Using the Nested Pseudo Likelihood Algorithm: Code and Application," MPRA Paper 17329, University Library of Munich, Germany.
    82. Mehmet Ali Soytaş & Damla Durak Uşar & Meltem Denizel, 2022. "Estimation of the static corporate sustainability interactions," International Journal of Production Research, Taylor & Francis Journals, vol. 60(4), pages 1245-1264, February.
    83. Julian Runge & Jonathan Levav & Harikesh S. Nair, 2022. "Price promotions and “freemium” app monetization," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 101-139, June.
    84. Gauri, Dinesh K. & Ratchford, Brian & Pancras, Joseph & Talukdar, Debabrata, 2017. "An Empirical Analysis of the Impact of Promotional Discounts on Store Performance," Journal of Retailing, Elsevier, vol. 93(3), pages 283-303.
    85. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
    86. Che-Lin Su, 2014. "Estimating discrete-choice games of incomplete information: Simple static examples," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 167-207, June.

Articles

  1. Aditya Jain & Sanjog Misra & Nils Rudi, 2020. "The Effect of Sales Assistance on Purchase Decisions: An analysis using retail video data," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 273-303, September.

    Cited by:

    1. Guo, Xiongfei & Chen, Jing, 2023. "Manufacturer’s quality improvement and Retailer’s In-store service in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    2. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
    3. Honka, Elisabeth & Seiler, Stephan & Ursu, Raluca, 2024. "Consumer search: What can we learn from pre-purchase data?," Journal of Retailing, Elsevier, vol. 100(1), pages 114-129.
    4. Gauri, Dinesh K. & Jindal, Rupinder P. & Ratchford, Brian & Fox, Edward & Bhatnagar, Amit & Pandey, Aashish & Navallo, Jonathan R. & Fogarty, John & Carr, Stephen & Howerton, Eric, 2021. "Evolution of retail formats: Past, present, and future," Journal of Retailing, Elsevier, vol. 97(1), pages 42-61.
    5. Haofeng Jin & Zhentong Lu, 2021. "Measuring the Effectiveness of Salespeople: Evidence from a Cold-Drink Market," Staff Working Papers 21-40, Bank of Canada.
    6. Wayne Taylor & Brett Hollenbeck, 2021. "Leveraging loyalty programs using competitor based targeting," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 417-455, December.
    7. Guo, Xiongfei & Chen, Jing & Wu, Jie & Zhang, Tinglong & Zhang, Hui, 2024. "Returns policy, in-store service, and contract strategies in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).

  2. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    See citations under working paper version above.
  3. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.

    Cited by:

    1. Ron N. Borkovsky & Paul B. Ellickson & Brett R. Gordon & Victor Aguirregabiria & Gardete Pedro, 2014. "Multiplicity of Equilibria and Information Structures in Empirical Games: Challenges and Prospects," Working Papers tecipa-510, University of Toronto, Department of Economics.
    2. Doug J. Chung & Kyoungwon Seo & Reo Song, 2023. "Efficient computation of discrete games: Estimating the effect of Apple on market structure," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2245-2263, July.
    3. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    4. Subramanian Balachander & Bikram Ghosh, 2013. "Bayesian estimation of a simultaneous probit model using error augmentation: An application to multi-buying and churning behavior," Quantitative Marketing and Economics (QME), Springer, vol. 11(4), pages 437-458, December.
    5. Subramanian Balachander & Bikram Ghosh, 2013. "Bayesian estimation of a simultaneous probit model using error augmentation: An application to multi-buying and churning behavior," Quantitative Marketing and Economics (QME), Springer, vol. 11(4), pages 437-458, December.
    6. Che-Lin Su, 2014. "Estimating discrete-choice games of incomplete information: Simple static examples," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 167-207, June.

  4. Sangwoo Shin & Sanjog Misra & Dan Horsky, 2012. "Disentangling Preferences and Learning in Brand Choice Models," Marketing Science, INFORMS, vol. 31(1), pages 115-137, January.

    Cited by:

    1. Ali Hortaçsu & Seyed Ali Madanizadeh & Steven L. Puller, 2015. "Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market," NBER Working Papers 20988, National Bureau of Economic Research, Inc.
    2. Aljoscha Janssen, 2022. "Price dynamics of Swedish pharmaceuticals," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 313-351, December.
    3. Hai Che & Tülin Erdem & T. Sabri Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
    4. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    5. Szymanowski, Maciej & Gijsbrechts, Els, 2013. "Patterns in consumption-based learning about brand quality for consumer packaged goods," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 219-235.
    6. Arjen van Lin & Els Gijsbrechts, 2019. "“Hello Jumbo!” The Spatio-Temporal Rollout and Traffic to a New Grocery Chain After Acquisition," Management Science, INFORMS, vol. 67(5), pages 2388-2411, May.
    7. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    8. Bronnenberg, Bart & Dube, Jean-Pierre, 2016. "The Formation of Consumer Brand Preferences," CEPR Discussion Papers 11648, C.E.P.R. Discussion Papers.
    9. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
    10. Neha Bairoliya & Pinar Karaca-Mandic & Jeffrey S. McCullough & Amil Petrin, 2017. "Consumer Learning and the Entry of Generic Pharmaceuticals," NBER Working Papers 23662, National Bureau of Economic Research, Inc.
    11. Yi Zhao & Sha Yang & Vishal Narayan & Ying Zhao, 2013. "Modeling Consumer Learning from Online Product Reviews," Marketing Science, INFORMS, vol. 32(1), pages 153-169, May.
    12. Bart J. Bronnenberg & Jean-Pierre H. Dubé, 2016. "The Formation of Consumer Brand Preferences," NBER Working Papers 22691, National Bureau of Economic Research, Inc.
    13. Yufeng Huang, 2019. "Learning by Doing and the Demand for Advanced Products," Marketing Science, INFORMS, vol. 38(1), pages 107-128, January.
    14. Daniel Grodzicki & Alexei Alexandrov & Özlem Bedre-Defolie & Sergei Koulayev, 2023. "Consumer Demand for Credit Card Services," Journal of Financial Services Research, Springer;Western Finance Association, vol. 63(3), pages 273-311, June.
    15. Jean-Pierre Dubé & Xueming Luo & Zheng Fang, 2017. "Self-Signaling and Prosocial Behavior: A Cause Marketing Experiment," Marketing Science, INFORMS, vol. 36(2), pages 140-156, March.
    16. Hai Che & Tülin Erdem & T. Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
    17. Li, Zili & Washington, Simon P. & Zheng, Zuduo & Prato, Carlo G., 2023. "A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices," Journal of choice modelling, Elsevier, vol. 47(C).
    18. Anita Rao, 2015. "Online Content Pricing: Purchase and Rental Markets," Marketing Science, INFORMS, vol. 34(3), pages 430-451, May.
    19. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
    20. Bigné, Enrique & Llinares, Carmen & Torrecilla, Carmen, 2016. "Elapsed time on first buying triggers brand choices within a category: A virtual reality-based study," Journal of Business Research, Elsevier, vol. 69(4), pages 1423-1427.
    21. van Ewijk, Bernadette J. & Gijsbrechts, Els & Steenkamp, Jan-Benedict E.M., 2022. "The dark side of innovation: How new SKUs affect brand choice in the presence of consumer uncertainty and learning," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 967-987.
    22. Guyt, Jonne & Gijsbrechts, Els, 2018. "On consumer choice patterns and the net impact of feature promotions," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 490-508.
    23. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    24. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    25. Xu, Yan, 2017. "Essays on preference formation and home production," Other publications TiSEM b028fd7e-53ba-4ff6-97eb-4, Tilburg University, School of Economics and Management.
    26. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
    27. van Ewijk, Bernadette, 2018. "Purchase behavior of consumers in emerging markets," Other publications TiSEM 7df54091-5d85-44b2-aee5-e, Tilburg University, School of Economics and Management.

  5. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.

    Cited by:

    1. Mitsukuni Nishida, 2018. "A Structural Analysis of Entry Order, Performance, and Geography: The Case of the Convenience-Store Industry in Japan," KIER Working Papers 993, Kyoto University, Institute of Economic Research.
    2. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    3. Mitsukuni Nishida, 2012. "Estimating a Model of Strategic Network Choice: The Convenience-Store Industry in Okinawa," Economics Working Paper Archive 594, The Johns Hopkins University,Department of Economics.
    4. Hector Perez-Saiz, 2015. "Building new plants or entering by acquisition? Firm heterogeneity and entry barriers in the U.S. cement industry," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 625-649, September.
    5. Victor Aguirregabiria & Junichi Suzuki, 2015. "Empirical Games of Market Entry and Spatial Competition in Retail Industries," Working Papers tecipa-534, University of Toronto, Department of Economics.
    6. A. Yeşim Orhun, 2013. "Spatial differentiation in the supermarket industry: The role of common information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 3-37, March.
    7. Santiago Carbo-Valverde & Héctor Pérez Saiz & Hongyu Xiao, 2023. "Geographical and Cultural Proximity in Retail Banking," Staff Working Papers 23-2, Bank of Canada.
    8. Sumon Datta & K. Sudhir, 2023. "The Agglomeration-Differentiation Tradeoff in Spatial Location Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 10(1), pages 1-25, December.
    9. Wayne Taylor & Brett Hollenbeck, 2021. "Leveraging loyalty programs using competitor based targeting," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 417-455, December.
    10. Mitsukuni Nishida & Nathan Yang, 2014. "Better Together? Retail Chain Performance Dynamics in Store Expansion Before and After Mergers," Working Papers 14-08, NET Institute.

  6. Sanjog Misra & Harikesh Nair, 2011. "A structural model of salesforce compensation dynamics: Response to Profs. Rust and Staelin," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 267-273, September.

    Cited by:

    1. Gökkoca, Gökçe, 2024. "Antibiotic Stewardship in Primary Care: Evidence from Pay-for-Performance in France," TSE Working Papers 24-1567, Toulouse School of Economics (TSE).
    2. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2018. "When Salespeople Manage Customer Relationships: Multidimensional Incentives and Private Information," Cowles Foundation Discussion Papers 2122, Cowles Foundation for Research in Economics, Yale University.
    3. Honda, Jun & Inderst, Roman, 2017. "Nonlinear Incentives and Advisor Bias," EconStor Preprints 253657, ZBW - Leibniz Information Centre for Economics.
    4. Kräkel, Matthias, 2021. "On the delegation of authority," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 965-981.
    5. Long Gao, 2023. "Optimal Incentives for Salespeople with Learning Potential," Management Science, INFORMS, vol. 69(6), pages 3285-3296, June.
    6. Marc Fischer & Hyun S. Shin & Dominique M. Hanssens, 2016. "Brand Performance Volatility from Marketing Spending," Management Science, INFORMS, vol. 62(1), pages 197-215, January.
    7. Abeler, Johannes & Huffman, David B. & Raymond, Collin, 2023. "Incentive Complexity, Bounded Rationality and Effort Provision," IZA Discussion Papers 16284, Institute of Labor Economics (IZA).
    8. Steven Lu & Andre Bonfrer & Ranjit Voola, 2015. "Retaining Talented Salespeople," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 148-164, June.

  7. Sanjog Misra & Harikesh Nair, 2011. "A structural model of sales-force compensation dynamics: Estimation and field implementation," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 211-257, September.
    See citations under working paper version above.
  8. Paul B. Ellickson & Sanjog Misra, 2011. "Structural Workshop Paper --Estimating Discrete Games," Marketing Science, INFORMS, vol. 30(6), pages 997-1010, November.

    Cited by:

    1. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.
    2. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    3. Ron N. Borkovsky & Paul B. Ellickson & Brett R. Gordon & Victor Aguirregabiria & Gardete Pedro, 2014. "Multiplicity of Equilibria and Information Structures in Empirical Games: Challenges and Prospects," Working Papers tecipa-510, University of Toronto, Department of Economics.
    4. Erdmann, Anett, 2015. "The role of captive consumers in retailers' location choices," UC3M Working papers. Economics we1507, Universidad Carlos III de Madrid. Departamento de Economía.
    5. Baker, Matthew J. & George, Lisa M., 2024. "The news hour: Welfare estimation in the market for local television news," International Journal of Industrial Organization, Elsevier, vol. 94(C).
    6. A. Yeşim Orhun, 2013. "Spatial differentiation in the supermarket industry: The role of common information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 3-37, March.
    7. Samuel Haas & Daniel Herold & Jan T. Schäfer, 2020. "Shopping Hours and Entry - an Empirical Analysis of Aldi’s Opening Hours," Journal of Industry, Competition and Trade, Springer, vol. 20(1), pages 139-156, March.
    8. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    9. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
    10. Subramanian Balachander & Bikram Ghosh, 2013. "Bayesian estimation of a simultaneous probit model using error augmentation: An application to multi-buying and churning behavior," Quantitative Marketing and Economics (QME), Springer, vol. 11(4), pages 437-458, December.
    11. Che-Lin Su, 2014. "Estimating discrete-choice games of incomplete information: Simple static examples," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 167-207, June.

  9. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    See citations under working paper version above.
  10. Michaela Draganska & Sanjog Misra & Victor Aguirregabiria & Pat Bajari & Liran Einav & Paul Ellickson & Dan Horsky & Sridhar Narayanan & Yesim Orhun & Peter Reiss & Katja Seim & Vishal Singh & Raphael, 2008. "Discrete choice models of firms’ strategic decisions," Marketing Letters, Springer, vol. 19(3), pages 399-416, December.

    Cited by:

    1. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.
    2. Liran Einav, 2010. "Not All Rivals Look Alike: Estimating An Equilibrium Model Of The Release Date Timing Game," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 369-390, April.
    3. Kobayashi, Mimako & Melkonyan, Tigran A., 2011. "Strategic Incentives in Biosecurity Actions: Theoretical and Empirical Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-21, July.
    4. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    5. Frederico Finan & Maurizio Mazzocco, 2021. "Electoral Incentives and the Allocation of Public Funds," Journal of the European Economic Association, European Economic Association, vol. 19(5), pages 2467-2512.
    6. Ferreyra,Maria Marta & Kosenok,Grigory, 2015. "Charter school entry and school choice: the case of Washington, D.C," Policy Research Working Paper Series 7383, The World Bank.
    7. A. Yeşim Orhun, 2013. "Spatial differentiation in the supermarket industry: The role of common information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 3-37, March.
    8. Daniel Toro-Gonzalez & Jia Yan & Karina Gallardo & Jill McCluskey, 2012. "Quality Differentiation with Flavors: Demand Estimation of Unobserved Attributes," Working Papers 2012-6, School of Economic Sciences, Washington State University.
    9. Huysentruyt, Marieke & Lefevere, Eva & Menon, Carlo, 2010. "Bank location and financial liberalization reforms: evidence from microgeographic data," LSE Research Online Documents on Economics 33551, London School of Economics and Political Science, LSE Library.
    10. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    11. Lijesen, M.G., 2010. "Empirical applications of spatial competition; an interpretative literature review," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    12. Maria Ferreyra & Brett Gordon & Dennis Epple, 2011. "Charter School Entry in Market Equilibrium: The Case of Washington, DC," 2011 Meeting Papers 1266, Society for Economic Dynamics.

  11. Brickley, James A & Misra, Sanjog & Van Horn, R Lawrence, 2006. "Contract Duration: Evidence from Franchising," Journal of Law and Economics, University of Chicago Press, vol. 49(1), pages 173-196, April.

    Cited by:

    1. Cain, Matthew D. & Denis, David J. & Denis, Diane K., 2011. "Earnouts: A study of financial contracting in acquisition agreements," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 151-170, February.
    2. Hsuan-Yu Lin & Chih-Hai Yang, 2016. "Uncertainty, specific investment, and contract duration: evidence from the MLB player market," Empirical Economics, Springer, vol. 50(3), pages 1009-1028, May.
    3. Perrigot, Rozenn & López-Fernández, Begoña & Basset, Guy, 2021. "Conflict management capabilities in franchising," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    4. Awudu Abdulai & Renan Goetz, 2014. "Time-Related Characteristics of Tenancy Contracts and Investment in Soil Conservation Practices," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 87-109, September.
    5. Vanesa Solís-Rodríguez & Manuel González-Díaz, 2019. "Prior interactions and contractual completeness in Spanish franchising," Small Business Economics, Springer, vol. 53(3), pages 795-812, October.
    6. Steven G. Medema, 2020. "The Coase Theorem at Sixty," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1045-1128, December.
    7. Qu, Yingge & Kumar, V. & Zhao, Yi, 2023. "A dynamic model of the contract length and early termination: The roles of technology evolution and pricing strategy," Journal of Business Research, Elsevier, vol. 167(C).
    8. Maija Halonen-Akatwijuka & Oliver Hart, 2020. "Continuing Contracts [“Firms’ Use of Outside Contractors: Theory and Evidence,”]," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 36(2), pages 284-313.
    9. Nicholas Argyres & Janet Bercovitz, 2015. "Franchisee Associations as Sources of Bargaining Power? Some Evidence," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(4), pages 811-832, October.
    10. Cain, Matthew D. & Denis, David J. & Denis, Diane K., 2011. "Earnouts: A study of financial contracting in acquisition agreements," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 151-170.
    11. Qiu, Larry D. & Wang, Susheng, 2011. "BOT projects: Incentives and efficiency," Journal of Development Economics, Elsevier, vol. 94(1), pages 127-138, January.
    12. Begoña López-Fernández & Susana López-Bayón, 2018. "Antecedents of early terminations in franchising: franchisor versus franchisee cancelations," Small Business Economics, Springer, vol. 50(4), pages 677-695, April.
    13. S. Verbieren & M. Cools & A. Van den Abbeele, 2008. "Franchising. A Literature Review on Management and Control Issues," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(4), pages 398-443.
    14. Ilir Hajdini, 2024. "Multiple control strategies and franchisor performance: Performance effects of authoritative, contractual, and relational control mechanisms," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 28(3), pages 875-904, September.
    15. Dubois, Pierre & Vukina, Tomislav, 2009. "Incentives to Invest in Short-term vs. Long-term Contracts: Evidence from a Natural Experiment," TSE Working Papers 09-136, Toulouse School of Economics (TSE), revised Dec 2009.
    16. Panu Poutvaara & Tuomas Takalo & Andreas Wagener, 2017. "The Optimal Duration of Contracts," CESifo Working Paper Series 6808, CESifo.
    17. Farhad Sadeh & Manish Kacker, 2018. "Quality signaling through ex-ante voluntary information disclosure in entrepreneurial networks: evidence from franchising," Small Business Economics, Springer, vol. 50(4), pages 729-748, April.
    18. Perdreau, Frédéric & Fréchet, Marc, 2022. "Learning, contractual capabilities, and contract duration changes in franchise networks," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    19. Albert Jolink & Eva Niesten, 2012. "Hybrid Governance," Chapters, in: Michael Dietrich & Jackie Krafft (ed.), Handbook on the Economics and Theory of the Firm, chapter 12, Edward Elgar Publishing.
    20. Titman, Sheridan & Twite, Garry, 2013. "Urban density, law and the duration of real estate leases," Journal of Urban Economics, Elsevier, vol. 74(C), pages 99-112.
    21. Laura Onofri & Samuele Trestini & Fateh Mamine & Jason Loughrey, 2023. "Understanding agricultural land leasing in Ireland: a transaction cost approach," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-20, December.
    22. Alicia García-Herrera & Rafael Llorca-Vivero, 2010. "How time influences franchise contracts: the Spanish case," European Journal of Law and Economics, Springer, vol. 30(1), pages 1-16, August.
    23. Maija Halonen-Akatwijuka & Oliver Hart, 2015. "Short-term, Long-term, and Continuing Contracts," NBER Working Papers 21005, National Bureau of Economic Research, Inc.
    24. López-Bayón, Susana & González-Díaz, Manuel, 2010. "Indefinite contract duration: Evidence from electronics subcontracting," International Review of Law and Economics, Elsevier, vol. 30(2), pages 145-159, June.
    25. Emmanuel Raynaud, 2010. "The Structure of Franchise Contracts," Chapters, in: Peter G. Klein & Michael E. Sykuta (ed.), The Elgar Companion to Transaction Cost Economics, chapter 20, Edward Elgar Publishing.
    26. Chih‐Ning Chu & Wai‐Man Liu, 2010. "General Equilibrium Analysis Of Hold‐Up Problem And Non‐Exclusive Franchise Contract," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 674-684, December.
    27. Guo, Shiau-Ling, 2023. "The governance implication of the geographic concentration of franchise activities for franchise relationships," Journal of Business Research, Elsevier, vol. 157(C).
    28. Meng-Chi Tang, 2015. "Contract Length, Expected Surplus, and Specific Investments," Journal of Sports Economics, , vol. 16(3), pages 295-311, April.
    29. Ilir Hajdini & Josef Windsperger, 2020. "Real options in franchise contracting: an application of transaction cost and real options theory," European Journal of Law and Economics, Springer, vol. 50(2), pages 313-337, October.
    30. Jan K. Brueckner & Stuart S. Rosenthal, 2022. "Tenant Riskiness, Contract Length, and the Term Structure of Commercial Leases," CESifo Working Paper Series 10189, CESifo.
    31. Goetz, Renan & Yatsenko, Yuri & Hritonenko, Natali & Xabadia, Angels & Abdulai, Awudu, 2019. "The dynamics of productive assets, contract duration and holdup," Mathematical Social Sciences, Elsevier, vol. 97(C), pages 24-37.

  12. Dan Horsky & Sanjog Misra & Paul Nelson, 2006. "Observed and Unobserved Preference Heterogeneity in Brand-Choice Models," Marketing Science, INFORMS, vol. 25(4), pages 322-335, 07-08.

    Cited by:

    1. Danaf, Mazen & Guevara, C. Angelo & Ben-Akiva, Moshe, 2023. "A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems," Journal of choice modelling, Elsevier, vol. 46(C).
    2. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    3. Müller, Sarah S. & Fries, Anne J. & Gedenk, Karen, 2014. "How much to give? — The effect of donation size on tactical and strategic success in cause-related marketing," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 178-191.
    4. Trivedi, Minakshi & Sridhar, Karthik & Kumar, Ashish, 2016. "Impact of Healthy Alternatives on Consumer Choice: A Balancing Act," Journal of Retailing, Elsevier, vol. 92(1), pages 65-82.
    5. Elisabeth Honka & Ali Hortaçsu & Maria Ana Vitorino, 2017. "Advertising, consumer awareness, and choice: evidence from the U.S. banking industry," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 611-646, August.
    6. Marshall Freimer & Dan Horsky, 2008. "Try It, You Will Like It—Does Consumer Learning Lead to Competitive Price Promotions?," Marketing Science, INFORMS, vol. 27(5), pages 796-810, 09-10.
    7. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2012. "Targeted pricing and customer data sharing among rivals," DICE Discussion Papers 60, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    8. 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.
    9. Marshall Freimer & Dan Horsky, 2012. "Periodic Advertising Pulsing in a Competitive Market," Marketing Science, INFORMS, vol. 31(4), pages 637-648, July.
    10. Roozbeh Irani-Kermani & Edward C. Jaenicke & Ardalan Mirshani, 2023. "Accommodating heterogeneity in brand loyalty estimation: application to the U.S. beer retail market," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 820-835, December.
    11. Sandeep R. Chandukala & Yancy D. Edwards & Greg M. Allenby, 2011. "Identifying Unmet Demand," Marketing Science, INFORMS, vol. 30(1), pages 61-73, 01-02.
    12. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    13. S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
    14. Ernan Haruvy & Peter T. L. Popkowski Leszczyc, 2010. "Search and Choice in Online Consumer Auctions," Marketing Science, INFORMS, vol. 29(6), pages 1152-1164, 11-12.
    15. Avi Goldfarb & Qiang Lu & Sridhar Moorthy, 2007. "Measuring Brand Value in an Equilibrium Framework," Food Marketing Policy Center Research Reports 099, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    16. Ching, Andrew & Hayashi, Fumiko, 2008. "Payment Card Rewards Programs and Consumer Payment Choice," MPRA Paper 8458, University Library of Munich, Germany.
    17. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2008. "Incorporating responsiveness to marketing efforts in brand choice modelling," Econometric Institute Research Papers EI 2008-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Neeraj Arora & Ty Henderson & Qing Liu, 2011. "Noncompensatory Dyadic Choices," Marketing Science, INFORMS, vol. 30(6), pages 1028-1047, November.
    19. Martin Natter & Andreas Mild & Udo Wagner & Alfred Taudes, 2008. "—Planning New Tariffs at tele.ring: The Application and Impact of an Integrated Segmentation, Targeting, and Positioning Tool," Marketing Science, INFORMS, vol. 27(4), pages 600-609, 07-08.
    20. Xiaoyang He & Ralph Siebert, 2021. "Switching Beers? The Effects of Switching Costs on Prices and Profits in Competitive Markets," CESifo Working Paper Series 9065, CESifo.
    21. Sangwoo Shin & Sanjog Misra & Dan Horsky, 2012. "Disentangling Preferences and Learning in Brand Choice Models," Marketing Science, INFORMS, vol. 31(1), pages 115-137, January.
    22. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.
    23. Nguyen Tien Thong & Hans Stubbe Solgaard & Wolfgang Haider & Eva Roth & Lars Ravn†Jonsen, 2018. "Using labeled choice experiments to analyze demand structure and market position among seafood products," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 163-189, March.
    24. Greg M. Allenby & Mark J. Garratt & Peter E. Rossi, 2010. "A Model for Trade-Up and Change in Considered Brands," Marketing Science, INFORMS, vol. 29(1), pages 40-56, 01-02.
    25. Robert W. Palmatier & Andrew T. Crecelius, 2019. "The “first principles” of marketing strategy," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 5-26, June.
    26. Pengyuan Wang & Eric Bradlow & Edward George, 2014. "Meta-analyses using information reweighting: An application to online advertising," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 209-233, June.
    27. Rajkumar Venkatesan & Alexander Bleier & Werner Reinartz & Nalini Ravishanker, 2019. "Improving customer profit predictions with customer mindset metrics through multiple overimputation," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 771-794, September.
    28. Nobuhiko Terui & Masataka Ban & Greg M. Allenby, 2011. "The Effect of Media Advertising on Brand Consideration and Choice," Marketing Science, INFORMS, vol. 30(1), pages 74-91, 01-02.
    29. Jean-Pierre Dubé & Günter J. Hitsch & Peter E. Rossi & Maria Ana Vitorino, 2008. "Category Pricing with State-Dependent Utility," Marketing Science, INFORMS, vol. 27(3), pages 417-429, 05-06.
    30. Karsten Hansen & Vishal Singh, 2009. "Market Structure Across Retail Formats," Marketing Science, INFORMS, vol. 28(4), pages 656-673, 07-08.
    31. van Ewijk, Bernadette J. & Gijsbrechts, Els & Steenkamp, Jan-Benedict E.M., 2022. "What drives brands’ price response metrics? An empirical examination of the Chinese packaged goods industry," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 288-312.
    32. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    33. Joo, Mingyu & Wilbur, Kenneth C. & Zhu, Yi, 2016. "Effects of TV advertising on keyword search," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 508-523.
    34. Vo Hong Tu & Steven W. Kopp & Nguyen Thuy Trang & Andreas Kontoleon & Mitsuyasu Yabe, 2021. "UK Consumers’ Preferences for Ethical Attributes of Floating Rice: Implications for Environmentally Friendly Agriculture in Vietnam," Sustainability, MDPI, vol. 13(15), pages 1-27, July.
    35. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    36. Feifei He & Chunhua Sun & Yezheng Liu, 2023. "What social characteristics enhance recommender systems? The effects of network embeddedness and preference heterogeneity," Electronic Commerce Research, Springer, vol. 23(3), pages 1807-1827, September.
    37. Hariharan, Vijay Ganesh & Desai, Kalpesh Kaushik & Talukdar, Debabrata & Inman, J. Jeffrey, 2018. "Shopper marketing moderators of the brand equity – behavioral loyalty relationship," Journal of Business Research, Elsevier, vol. 85(C), pages 91-104.
    38. Eckert, Christine & Louviere, Jordan J. & Islam, Towhidul, 2012. "Seeing the forest despite the trees: Brand effects on choice uncertainty," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 256-264.

  13. Sanjog Misra, 2005. "Generalized Reverse Discrete Choice Models," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 175-200, June.

    Cited by:

    1. Nevskij, Sergei, 2013. ""British disease": the factors of the economic crisis in the UK in 1970," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, pages 38-61, February.
    2. Wadud, Zia & Mattioli, Giulio, 2021. "Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 228-244.
    3. Ariel Guerreiro & Joao Amaro de Matos, 2013. "Referenda outcomes and the influence of polls: a social network feedback process," Nova SBE Working Paper Series wp578, Universidade Nova de Lisboa, Nova School of Business and Economics.
    4. Kumar, Anshuman Anjani & Kang, Jee Eun & Kwon, Changhyun & Nikolaev, Alexander, 2016. "Inferring origin-destination pairs and utility-based travel preferences of shared mobility system users in a multi-modal environment," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 270-291.
    5. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.

  14. Puneet Manchanda & Dick Wittink & Andrew Ching & Paris Cleanthous & Min Ding & Xiaojing Dong & Peter Leeflang & Sanjog Misra & Natalie Mizik & Sridhar Narayanan & Thomas Steenburgh & Jaap Wieringa & M, 2005. "Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry," Marketing Letters, Springer, vol. 16(3), pages 293-308, December.

    Cited by:

    1. D. Crie & J.Ch. Chebat, 2013. "Health marketing : towards an integrative perspective," Post-Print hal-00803705, HAL.
    2. Kaiser, Ulrich & Mendez, Susan J. & Rønde, Thomas, 2010. "Regulation of pharmaceutical prices: Evidence from a reference price reform in Denmark," ZEW Discussion Papers 10-062, ZEW - Leibniz Centre for European Economic Research.
    3. Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
    4. Marc Fischer & Peter Leeflang & Peter Verhoef, 2010. "Drivers of peak sales for pharmaceutical brands," Quantitative Marketing and Economics (QME), Springer, vol. 8(4), pages 429-460, December.
    5. Ruiz-Conde, Enar & Wieringa, Jaap E. & Leeflang, Peter S.H., 2014. "Competitive diffusion of new prescription drugs: The role of pharmaceutical marketing investment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 49-63.
    6. Sismeiro, Catarina & Mizik, Natalie & Bucklin, Randolph E., 2012. "Modeling coexisting business scenarios with time-series panel data: A dynamics-based segmentation approach," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 134-147.
    7. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    8. Peter Leeflang & Jaap Wieringa, 2010. "Modeling the effects of pharmaceutical marketing," Marketing Letters, Springer, vol. 21(2), pages 121-133, June.
    9. Ram Bala & Pradeep Bhardwaj, 2010. "Detailing vs. Direct-to-Consumer Advertising in the Prescription Pharmaceutical Industry," Management Science, INFORMS, vol. 56(1), pages 148-160, January.
    10. Stremersch, Stefan, 2008. "Health and marketing: The emergence of a new field of research," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 229-233.

  15. Sanjog Misra & Anne Coughlan & Chakravarthi Narasimhan, 2005. "Salesforce Compensation: An Analytical and Empirical Examination of the Agency Theoretic Approach," Quantitative Marketing and Economics (QME), Springer, vol. 3(1), pages 5-39, January.

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    1. Díaz, Estrella & Martín-Consuegra, David & Esteban, Águeda, 2015. "Perceptions of service cannibalisation: The moderating effect of the type of travel agency," Tourism Management, Elsevier, vol. 48(C), pages 329-342.
    2. Sanjog Misra & Harikesh Nair, 2011. "A structural model of sales-force compensation dynamics: Estimation and field implementation," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 211-257, September.
    3. Fong, Yuk-fai & Li, Jin, 2017. "Relational contracts, limited liability, and employment dynamics," Journal of Economic Theory, Elsevier, vol. 169(C), pages 270-293.
    4. Murali Mantrala & Sönke Albers & Fabio Caldieraro & Ove Jensen & Kissan Joseph & Manfred Krafft & Chakravarthi Narasimhan & Srinath Gopalakrishna & Andris Zoltners & Rajiv Lal & Leonard Lodish, 2010. "Sales force modeling: State of the field and research agenda," Marketing Letters, Springer, vol. 21(3), pages 255-272, September.
    5. Arzum Akkaş & Nachiketa Sahoo, 2020. "Reducing Product Expiration by Aligning Salesforce Incentives: A Data‐driven Approach," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1992-2009, August.
    6. Thomas Otter & Timothy J. Gilbride & Greg M. Allenby, 2011. "Testing Models of Strategic Behavior Characterized by Conditional Likelihoods," Marketing Science, INFORMS, vol. 30(4), pages 686-701, July.
    7. Wan-Ju Franz, 2014. "Why are Some Salespeople More Aggressive than Others?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(4), pages 383-397, December.
    8. Nur Kaynar & Auyon Siddiq, 2023. "Estimating Effects of Incentive Contracts in Online Labor Platforms," Management Science, INFORMS, vol. 69(4), pages 2106-2126, April.
    9. Thomas Steenburgh, 2008. "Effort or timing: The effect of lump-sum bonuses," Quantitative Marketing and Economics (QME), Springer, vol. 6(3), pages 235-256, September.
    10. Keshavarz, Ali Reza & Gölgeci, Ismail, 2023. "The value of the sales function: A multilevel examination of the effect of strategic marketing ambidexterity and industry contingencies," Journal of Business Research, Elsevier, vol. 156(C).
    11. Muriel Fadairo & Cintya Lanchimba & Josef Windsperger, 2018. "Entrepreneurial orientation, risk and incentives: the case of franchising," Post-Print halshs-01611633, HAL.
    12. Jian Chen & He Huang & Liming Liu & Hongyan Xu, 2021. "Price Delegation or Not? The Effect of Heterogeneous Sales Agents," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1350-1364, May.
    13. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Compensation and Peer Effects in Competing Sales Teams," Management Science, INFORMS, vol. 60(8), pages 1965-1984, August.
    14. James Wang, 2020. "Screening soft information: evidence from loan officers," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1287-1322, December.
    15. Robert Mayberry & James Sanders Boles & Naveen Donthu, 2018. "An escalation of commitment perspective on allocation-of-effort decisions in professional selling," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 879-894, September.
    16. John Rust & Richard Staelin, 2011. "Rust’s and Staelin’s Comments on: “A structural model of sales force compensation dynamics: estimation and field implementation” by Sanjog Misra and Harikesh Nair," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 259-265, September.
    17. Jeffrey P. Dotson & Greg M. Allenby, 2010. "Investigating the Strategic Influence of Customer and Employee Satisfaction on Firm Financial Performance," Marketing Science, INFORMS, vol. 29(5), pages 895-908, 09-10.
    18. Zeng, Xiaohua & Dasgupta, Srabana & Weinberg, Charles B., 2014. "The effects of a “no-haggle” channel on marketing strategies," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 434-443.

  16. Michal Herzenstein & Sanjog Misra & Steven Posavac, 2004. "How Consumers’ Attitudes Toward Direct-to-Consumer Advertising of Prescription Drugs Influence Ad Effectiveness, and Consumer and Physician Behavior," Marketing Letters, Springer, vol. 15(4), pages 201-212, December.

    Cited by:

    1. Mahabubur Rahman & M. Ángeles Rodríguez-Serrano & Mary Lambkin, 2019. "Advertising efficiency and profitability: Evidence from the pharmaceutical industry," Post-Print hal-02096913, HAL.
    2. Suh, Hae Sun & Lee, Donghyun & Kim, Sang Yong & Chee, Dong Hyun & Kang, Hye-Young, 2011. "Direct-to-consumer advertising (DTCA) for prescription drugs: Consumers' attitudes and preferences concerning its regulation in South Korea," Health Policy, Elsevier, vol. 101(3), pages 260-268, August.
    3. Qiang Liu & Hongju Liu & Manohar Kalwani, 2020. "“See your doctor”: the impact of direct-to-consumer advertising on patients with different affliction levels," Marketing Letters, Springer, vol. 31(1), pages 37-48, March.
    4. Marla B. Royne & Alexa K. Fox & George D. Deitz & Tyler Gibson, 2014. "The Effects of Health Consciousness and Familiarity with DTCA on Perceptions of Dietary Supplements," Journal of Consumer Affairs, Wiley Blackwell, vol. 48(3), pages 515-534, October.
    5. Nithima Sumpradit & Richard P. Bagozzi & Frank J. Ascione, 2015. "“Give Me Happiness” or “Take Away My Pain”: Explaining consumer responses to prescription drug advertising," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1024926-102, December.
    6. Lins Ferreira, Vinicius & Pereira da Veiga, Cássia Rita & Kudlawicz-Franco, Claudineia & Scalercio, Priscila & Ramires, Yohanna & Pontarolo, Roberto & Carvalho, Denise Maria W. & da Veiga, Claudimar , 2017. "Generic drugs in times of economic crisis: Are there changes in consumer purchase intention?," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 1-7.

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