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Martin Spindler

Personal Details

First Name:Martin
Middle Name:
Last Name:Spindler
Suffix:
RePEc Short-ID:psp125
[This author has chosen not to make the email address public]

Affiliation

Münchener Zentrum für Ökonomie und Demographischen Wandel
Max-Planck-Institut für Sozialrecht und Sozialpolitik
Max-Planck-Gesellschaft

München, Germany
http://mea.mpisoc.mpg.de/
RePEc:edi:memande (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-selection and post-regularization inference in linear models with many controls and instruments," CeMMAP working papers CWP02/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  2. Vijay Aseervatham & Christoph Lex & Spindler, Martin, 2014. "How do unisex rating regulations affect gender differences in insurance premiums?," MEA discussion paper series 201416, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

Articles

  1. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments," American Economic Review, American Economic Association, vol. 105(5), pages 486-490, May.
  2. Spindler, Martin, 2015. "Asymmetric information in (private) accident insurance," Economics Letters, Elsevier, vol. 130(C), pages 85-88.
  3. Martin Spindler, 2014. "Econometric Methods for Testing for Asymmetric Information: A Comparison of Parametric and Nonparametric Methods with an Application to Hospital Daily Benefits*," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 39(2), pages 254-266, September.
  4. Liangjun Su & Martin Spindler, 2013. "Nonparametric Testing for Asymmetric Information," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 208-225, April.

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. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-selection and post-regularization inference in linear models with many controls and instruments," CeMMAP working papers CWP02/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E, 2019. "lassopack: Model Selection and Prediction with Regularized Regression in Stata," IZA Discussion Papers 12081, IZA Network @ LISER.
    2. Alessandro V. M. Oliveira & Moises D. Vassallo, 2025. "Cabin Layout, Seat Density, and Passenger Segmentation in Air Transport: Implications for Prices, Ancillary Revenues, and Efficiency," Papers 2512.08066, arXiv.org.
    3. Brito, Igor R.S. & Oliveira, Alessandro V.M. & Dresner, Martin E., 2021. "An econometric study of the effects of airport privatization on airfares in Brazil," Transport Policy, Elsevier, vol. 114(C), pages 338-349.
    4. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    6. Cheng, Yifan & Yu, Jianyu & Min, Shi & Wang, Xiaobing, 2024. "The effects of land titling on intergenerational transfers in rural China," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 228-251.
    7. Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Research Africa Network Working Papers 21/074, Research Africa Network (RAN).
    8. Christoph Breunig & Enno Mammen & Anna Simoni, 2018. "Ill-posed Estimation in High-Dimensional Models with Instrumental Variables," Papers 1806.00666, arXiv.org, revised Aug 2020.
    9. Steven Shuye Wang & Kuan Xu & Hao Zhang, 2019. "A Microstructure Study of Circuit Breakers in the Chinese Stock Markets," Working Papers daleconwp2019-02, Dalhousie University, Department of Economics.
    10. Gal Amedi, 2023. "The Determinants of the Transit Accessibility Premium," Bank of Israel Working Papers 2023.12, Bank of Israel.
    11. Samarth Gupta, 2023. "Model-Selection Inference for Causal Impact of Clusters and Collaboration on MSMEs in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 641-662, September.
    12. Siddhartha Chib & Minchul Shin & Anna Simoni, 2026. "Testing for Endogeneity: A Moment-Based Bayesian Approach," Papers 2603.07780, arXiv.org.
    13. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019. "Non-separable models with high-dimensional data," Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
    14. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting: Why you Can Use the HP Filter," Cowles Foundation Discussion Papers 2212, Cowles Foundation for Research in Economics, Yale University.
    15. Lena von Deylen & Erik Wengström & Philipp Christoph Wichardt, 2026. "How Economic Worries Affect Attitudes Towards Migration — Evidence from a Survey Experiment in Germany," CESifo Working Paper Series 12561, CESifo.
    16. Zhong, Wei & Gao, Yang & Zhou, Wei & Fan, Qingliang, 2021. "Endogenous treatment effect estimation using high-dimensional instruments and double selection," Statistics & Probability Letters, Elsevier, vol. 169(C).
    17. Duso, Tomaso & Michelsen, Claus & Schaefer, Maximilian & Tran, Kevin Ducbao, 2024. "Airbnb and rental markets: Evidence from Berlin," Regional Science and Urban Economics, Elsevier, vol. 106(C).
    18. Xiduo Chen & Xingdong Feng & Antonio F. Galvao & Yeheng Ge, 2025. "Treatment Effects Inference with High-Dimensional Instruments and Control Variables," Papers 2503.20149, arXiv.org, revised Oct 2025.
    19. Bottmer, Lea & Croux, Christophe & Wilms, Ines, 2022. "Sparse regression for large data sets with outliers," European Journal of Operational Research, Elsevier, vol. 297(2), pages 782-794.
    20. Marianne BLÉHAUT & Xavier D'HAULTFOEUILLE & Jérémy L'HOUR & Alexandre B. TSYBAKOV, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Working Papers 2020-17, Center for Research in Economics and Statistics.
    21. Koen van Ruijven & Joep Tijm, 2021. "Housing Market Effects of a Railroad Tunneling: Evidence from a quasi-experiment," CPB Discussion Paper 423, CPB Netherlands Bureau for Economic Policy Analysis.
    22. Seojeong Lee & Youngki Shin, 2018. "Optimal Estimation with Complete Subsets of Instruments," Department of Economics Working Papers 2018-15, McMaster University.
    23. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey, 2016. "Double machine learning for treatment and causal parameters," CeMMAP working papers 49/16, Institute for Fiscal Studies.
    24. Pushan Dutt & Ilia Tsetlin, 2021. "Income distribution and economic development: Insights from machine learning," Economics and Politics, Wiley Blackwell, vol. 33(1), pages 1-36, March.
    25. Ruf, Daniel, 2017. "Agglomeration Effects and Liquidity Gradients in Local Rental Housing Markets," Working Papers on Finance 1702, University of St. Gallen, School of Finance.
    26. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing time-varying unobserved heterogeneity," Papers 2412.07352, arXiv.org, revised Oct 2025.
    27. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing unobserved heterogeneity," CeMMAP working papers 29/24, Institute for Fiscal Studies.
    28. Brunstein, Daniel & Casamatta, Georges & Giannoni, Sauveur, 2025. "Using machine learning to estimate the heterogeneous impact of Airbnb on house prices: Evidence from Corsica," Journal of Housing Economics, Elsevier, vol. 67(C).
    29. Danquah, Michael & Iddrisu, Abdul Malik & Boakye, Ernest Owusu & Owusu, Solomon, 2021. "Do gender wage differences within households influence women's empowerment and welfare? Evidence from Ghana," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 916-932.
    30. Luca J. Santos & Alessandro V. M. Oliveira & Dante M. Aldrighi, 2021. "Testing the differentiated impact of the COVID-19 pandemic on air travel demand considering social inclusion," Working Papers, Department of Economics 2021_14, University of São Paulo (FEA-USP).
    31. Cameron, Lisa & Gertler, Paul & Shah, Manisha & Alzua, Maria Laura & Martinez, Sebastian & Patil, Sumeet, 2022. "The dirty business of eliminating open defecation: The effect of village sanitation on child height from field experiments in four countries," Journal of Development Economics, Elsevier, vol. 159(C).
    32. Lai Xinglin, 2021. "Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest," Papers 2111.15320, arXiv.org, revised Mar 2022.
    33. Li, Jing & Li, Liyao & Liu, Shimeng, 2022. "Attenuation of agglomeration economies: Evidence from the universe of Chinese manufacturing firms," Journal of Urban Economics, Elsevier, vol. 130(C).
    34. Windmeijer, F.; Farbmacher, H.; Davies, N.; Davey Smith, G.;, 2017. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Health, Econometrics and Data Group (HEDG) Working Papers 17/22, HEDG, c/o Department of Economics, University of York.
    35. Hoeschle, Lisa & Maruejols, Lucie & Yu, Xiaohua, 2025. "The impact of energy justice on local economic outcomes: Evidence from the bioenergy village program in Germany," Energy Economics, Elsevier, vol. 145(C).
    36. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    37. Doğan, Osman & Taşpınar, Süleyman & Bera, Anil K., 2021. "A Bayesian robust chi-squared test for testing simple hypotheses," Journal of Econometrics, Elsevier, vol. 222(2), pages 933-958.
    38. Kyle Myers & Wei Yang Tham, 2023. "Money, Time, and Grant Design," Papers 2312.06479, arXiv.org.
    39. Eufrásio, Ana Beatriz R. & Eller, Rogéria A.G. & Oliveira, Alessandro V.M., 2021. "Are on-time performance statistics worthless? An empirical study of the flight scheduling strategies of Brazilian airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    40. Rishabh Tyagi & Peter Eibich & Vegard F. Skirbekk, 2024. "Gender norms and partnership dissolution following involuntary job loss in Germany," MPIDR Working Papers WP-2024-027, Max Planck Institute for Demographic Research, Rostock, Germany.
    41. Joshua Angrist & Brigham Frandsen, 2019. "Machine Labor," NBER Working Papers 26584, National Bureau of Economic Research, Inc.
    42. Alessandro V. M. Oliveira & Bruno F. Oliveira & Moises D. Vassallo, 2024. "Airport service quality perception and flight delays: examining the influence of psychosituational latent traits of respondents in passenger satisfaction surveys," Papers 2401.02139, arXiv.org.
    43. Franz Huber & Alan Ponce & Francesco Rentocchini & Thomas Wainwright, 2020. "The Wealth of (Open Data) Nations? Examining the interplay of open government data and country-level institutions for entrepreneurial activity at the country-level," SEEDS Working Papers 1120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Nov 2020.
    44. Ariadna Jou & Tommy Morgan, 2025. "Do Relief Programs Compensate For Longevity Losses From Reccesions? Evidence From The Great Depression And The New Deal," Working Papers wp562, University of Chile, Department of Economics.
    45. Tomaso Duso & Claus Michelsen & Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb and Rents: Evidence from Berlin," Discussion Papers of DIW Berlin 1890, DIW Berlin, German Institute for Economic Research.
    46. Philipp Bach & Victor Chernozhukov & Malte S. Kurz & Martin Spindler & Sven Klaassen, 2021. "DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R," Papers 2103.09603, arXiv.org, revised Jun 2024.
    47. Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
    48. Alexandre Belloni & Mingli Chen & Victor Chernozhukov, 2017. "Quantile graphical models: prediction and conditional independence with applications to systemic risk," CeMMAP working papers 54/17, Institute for Fiscal Studies.
    49. Madina Kurmangaliyeva & Matteo Sostero, 2022. "Walking while Black :Racial Gaps in Hit-and-Run Cases," Working Papers ECARES 2022-08, ULB -- Universite Libre de Bruxelles.
    50. Natalia Garbiras-Díaz & Mateo Montenegro, 2022. "All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity," American Economic Review, American Economic Association, vol. 112(8), pages 2631-2668, August.
    51. Deng, Xin & Wang, Yang & Tao, Xiaobo, 2025. "Social trust and fertility intentions: Evidence from China with causal and structural insights," International Review of Financial Analysis, Elsevier, vol. 107(C).
    52. Bai Huang & Tae-Hwy Lee & Aman Ullah, 2017. "A combined estimator of regression models with measurement errors," Indian Economic Review, Springer, vol. 52(1), pages 73-91, December.
    53. Daniel Brunstein & Georges Casamatta & Sauveur Giannoni, 2023. "Hétérogénéité de l'impact du développement d'Airbnb sur le marché immobilier en Corse," Post-Print hal-04122192, HAL.
    54. Aglasan, Serkan & Goodwin, Barry K. & Rejesus, Roderick, 2020. "Genetically Modified Rootworm-Resistant Corn, Risk, and Weather: Evidence from High Dimensional Methods," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 305181, Agricultural and Applied Economics Association.
    55. Shi Cheng & Weiguo Zhang, 2026. "Gendered Language and Female Subjective Well-being: An Inquiry into the Socio-psychological Outcomes of Linguistic Structure," Journal of Happiness Studies, Springer, vol. 27(3), pages 1-29, March.
    56. Zhaonan Qu & Yongchan Kwon, 2024. "Distributionally Robust Instrumental Variables Estimation," Papers 2410.15634, arXiv.org, revised Dec 2024.
    57. Michael Balzer, 2026. "Fast and scalable variable selection for spatial autoregressive models," Statistical Papers, Springer, vol. 67(2), pages 1-35, April.
    58. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    59. Ryotaro Todoroki & Kazuki Otaka, 2026. "Unveiling Demand Function Dynamics: A Scalable, Cross-Market Estimation Using Point-of-Sale Data," Bank of Japan Working Paper Series 26-E-2, Bank of Japan.
    60. Liu, Yan & Chen, Minjie & Yu, Jianyu & Wang, Xiaobing, 2024. "Being a happy farmer: Technology adoption and subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 385-405.
    61. Spika, Devon & Wickström Östervall, Linnea & Gerdtham, Ulf & Wengström, Erik, 2024. "Put a bet on it: Can self-funded commitment contracts curb fitness procrastination?," Journal of Health Economics, Elsevier, vol. 98(C).
    62. Max-Sebastian Dov`i, 2021. "Inference on the New Keynesian Phillips Curve with Very Many Instrumental Variables," Papers 2101.09543, arXiv.org, revised Mar 2021.
    63. Shukla, Pallavi & Pullabhotla, Hemant K. & Baylis, Kathy, 2022. "Trouble with zero: The limits of subsidizing technology adoption," Journal of Development Economics, Elsevier, vol. 158(C).
    64. Zehranur Sanioğlu-Tanış & Duygu Dündar-Öztaşçı & İbrahim Özmen, 2025. "Fertility and women unemployment: new evidence from Türkiye," Economic Change and Restructuring, Springer, vol. 58(6), pages 1-39, December.
    65. Krüger, Jens J. & Rhiel, Mathias, 2016. "Determinants of ICT infrastructure: A cross-country statistical analysis," Darmstadt Discussion Papers in Economics 228, Darmstadt University of Technology, Department of Law and Economics.
    66. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments," American Economic Review, American Economic Association, vol. 105(5), pages 486-490, May.
    67. Alessandro V. M. Oliveira & Thiago Caliari & Rodolfo R. Narcizo, 2024. "An empirical model of fleet modernization: on the relationship between market concentration and innovation adoption in the Brazilian airline industry," Papers 2401.06876, arXiv.org.
    68. Oliveira, Alessandro V.M. & Oliveira, Bruno F. & Vassallo, Moisés D., 2023. "Airport service quality perception and flight delays: Examining the influence of psychosituational latent traits of respondents in passenger satisfaction surveys," Research in Transportation Economics, Elsevier, vol. 102(C).
    69. Sophie Brana & Dalila Chenaf-Nicet & Delphine Lahet, 2023. "Drivers of cross-border bank claims: The role of foreign-owned banks in emerging countries," Working Papers 2023.06, International Network for Economic Research - INFER.
    70. Li, Wenchao, 2024. "Do surging house prices discourage fertility? Global evidence, 1870–2012," Labour Economics, Elsevier, vol. 90(C).
    71. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2017. "Weighted-average least squares estimation of generalized linear models," EIEF Working Papers Series 1711, Einaudi Institute for Economics and Finance (EIEF), revised Aug 2017.
    72. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    73. Belloni, Alexandre & Hansen, Christian & Newey, Whitney, 2022. "High-dimensional linear models with many endogenous variables," Journal of Econometrics, Elsevier, vol. 228(1), pages 4-26.
    74. Godzinski, Alexandre & Suarez Castillo, Milena, 2021. "Disentangling the effects of air pollutants with many instruments," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    75. Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf, Center for Open Science.
    76. Seojeong Lee & Youngki Shin, 2018. "Complete Subset Averaging with Many Instruments," Papers 1811.08083, arXiv.org, revised Aug 2020.
    77. Magdalena Bendini & Lelys Dinarte, 2020. "Does Maternal Depression Undermine Childhood Cognitive Development? Evidence from the Young Lives Survey in Peru," IJERPH, MDPI, vol. 17(19), pages 1-18, October.
    78. Sun, Weixin & Wang, Yong & Zhang, Li & Chen, Xihui Haviour & Hoang, Yen Hai, 2025. "Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    79. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2016. "Double/Debiased Machine Learning for Treatment and Causal Parameters," Papers 1608.00060, arXiv.org, revised Nov 2024.
    80. James M. Carson & Cameron M. Ellis & Robert E. Hoyt & Krzysztof Ostaszewski, 2020. "Sunk Costs and Screening: Two‐Part Tariffs in Life Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 689-718, September.
    81. Cocker Liu & Adam Nowak & Patrick Smith, 2017. "Some Remarks on Real Estate Pricing," Working Papers 17-20, Department of Economics, West Virginia University.
    82. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    83. Doko Tchatoka, Firmin & Ma, Yuguo, 2025. "Inference with many instruments: When is Anderson–Rubin test still useful?," Economics Letters, Elsevier, vol. 257(C).
    84. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    85. Kaila, Heidi & Azad, Abul, 2023. "The effects of crime and violence on food insecurity and consumption in Nigeria," Food Policy, Elsevier, vol. 115(C).
    86. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2023. "ddml: Double/debiased machine learning in Stata," Papers 2301.09397, arXiv.org, revised Jan 2024.
    87. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389, CPB Netherlands Bureau for Economic Policy Analysis.
    88. Olmez Turan, Merve & Gilbert, Ben & Flamand, Tulay, 2025. "How good are weather shocks for identifying energy elasticities? A LASSO-IV approach to European natural gas demand," Journal of Commodity Markets, Elsevier, vol. 39(C).
    89. Pettersson-Lidbom, Per, 2022. "Exit, Voice and Political Change: Evidence from Swedish Mass Migration to the United States. A Comment on Karadja and Prawitz (Journal of Political Economy, 2019)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 1, pages 1-13.
    90. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers CWP55/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    91. Woodruff, Christopher & Menzel, Andreas, 2019. "Gender Wage Gaps and Worker Mobility: Evidence from the Garment Sector in Bangladesh," CEPR Discussion Papers 13577, C.E.P.R. Discussion Papers.

  2. Vijay Aseervatham & Christoph Lex & Spindler, Martin, 2014. "How do unisex rating regulations affect gender differences in insurance premiums?," MEA discussion paper series 201416, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

    Cited by:

    1. Shan Huang & Martin Salm, 2018. "The Effect of a Ban on Gender-Based Pricing on Risk Selection in the German Health Insurance Market," SOEPpapers on Multidisciplinary Panel Data Research 1016, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. An Chen & Montserrat Guillen & Elena Vigna, 2017. "Solvency requirement in a unisex mortality model," Carlo Alberto Notebooks 504, Collegio Carlo Alberto.
    3. David A. Cather, 2020. "Reconsidering insurance discrimination and adverse selection in an era of data analytics," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 426-456, July.
    4. Bian, Yiyang & Yang, Chen & Zhao, J. Leon & Liang, Liang, 2018. "Good drivers pay less: A study of usage-based vehicle insurance models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 20-34.
    5. Huang, Shan & Salm, Martin, 2020. "The effect of a ban on gender-based pricing on risk selection in the German health insurance market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(1), pages 3-17.
    6. Mercedes Ayuso & Montserrat Guillen & Ana María Pérez-Marín, 2016. "Telematics and Gender Discrimination: Some Usage-Based Evidence on Whether Men’s Risk of Accidents Differs from Women’s," Risks, MDPI, vol. 4(2), pages 1-10, April.
    7. Mercedes Ayuso & Montserrat Guillen & Jens Perch Nielsen, 2019. "Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data," Transportation, Springer, vol. 46(3), pages 735-752, June.

Articles

  1. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments," American Economic Review, American Economic Association, vol. 105(5), pages 486-490, May.
    See citations under working paper version above.
  2. Spindler, Martin, 2015. "Asymmetric information in (private) accident insurance," Economics Letters, Elsevier, vol. 130(C), pages 85-88.

    Cited by:

    1. Choi Yun Jeong & Chen Joe & Sawada Yasuyuki, 2015. "Life Insurance and Suicide: Asymmetric Information Revisited," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(3), pages 1127-1149, July.

  3. Liangjun Su & Martin Spindler, 2013. "Nonparametric Testing for Asymmetric Information," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 208-225, April.

    Cited by:

    1. Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.
    2. Arnold Polanski & Evarist Stoja & Ching-Wai (Jeremy) Chiu, 2019. "Tail risk interdependence," Bank of England working papers 815, Bank of England.
    3. Helmi Jedidi & Georges Dionne, 2024. "Nonparametric Testing for Information Asymmetry in the Mortgage Servicing Market," Risks, MDPI, vol. 12(12), pages 1-40, November.
    4. Choi Yun Jeong & Chen Joe & Sawada Yasuyuki, 2015. "Life Insurance and Suicide: Asymmetric Information Revisited," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(3), pages 1127-1149, July.
    5. Spindler, Martin & Winter, Joachim & Hagmayer, Steffen, 2012. "Asymmetric Information in the Market for Automobile Insurance: Evidence from Germany," MEA discussion paper series 201208, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    6. Su, Liangjun & White, Halbert, 2014. "Testing conditional independence via empirical likelihood," Journal of Econometrics, Elsevier, vol. 182(1), pages 27-44.
    7. Hao Zheng & Yi Yao & Yinglu Deng & Feng Gao, 2022. "Information asymmetry, ex ante moral hazard, and uninsurable risk in liability coverage: Evidence from China's automobile insurance market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 131-160, March.
    8. Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 958-969.
    9. Georges Dionnne & Pierre-Carl Michaud & Jean Pinquet, 2012. "A Review of Recent Theoretical and Empirical Analyses of Asymmetric Information in Road Safety and Automobile Insurance," Cahiers de recherche 1204, CIRPEE.
    10. Polanski, Arnold & Stoja, Evarist, 2016. "Extreme risk interdependence," ESRB Working Paper Series 12, European Systemic Risk Board.
    11. Arnold Polanski & Evarist Stoja, 2015. "Extreme risk interdependence," Bank of England working papers 563, Bank of England.
    12. Spindler, M., 2014. "“They do know what they are doing ... at least most of them.†Asymmetric Information in the (private) Disability Insurance," Health, Econometrics and Data Group (HEDG) Working Papers 14/16, HEDG, c/o Department of Economics, University of York.
    13. Xiaoqi Zhang & Yi Chen & Yi Yao, 2021. "Dynamic information asymmetry in micro health insurance: implications for sustainability," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 468-507, July.
    14. Arnold Polanski & Evarist Stoja & Ching‐Wai (Jeremy) Chiu, 2021. "Tail risk interdependence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5499-5511, October.
    15. Arnold Polanski & Evarist Stoja, 2017. "Forecasting multidimensional tail risk at short and long horizons," Bank of England working papers 660, Bank of England.
    16. Jian Yan & Zhuoxi Li & Xianyang Zhang, 2022. "Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing," Papers 2210.08149, arXiv.org, revised Aug 2025.
    17. Spindler, Martin, 2013. "“They do know what they are doing... at least most of them.†Asymmetric Information in the (private) Disability Insurance," MEA discussion paper series 201209, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    18. David Rowell & Son Nghiem & Luke B Connelly, 2017. "Two Tests for Ex Ante Moral Hazard in a Market for Automobile Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1103-1126, December.
    19. Karl Ove Aarbu, 2017. "Asymmetric Information in the Home Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 35-72, March.
    20. Alois S. Mlambo, 2017. "From an Industrial Powerhouse to a Nation of Vendors: Over Two Decades of Economic Decline and Deindustrialization in Zimbabwe 1990–2015," Journal of Developing Societies, , vol. 33(1), pages 99-125, March.
    21. Feng Gao & Michael R. Powers & Jun Wang, 2017. "Decomposing Asymmetric Information in China's Automobile Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1269-1293, December.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-IAS: Insurance Economics (1) 2015-06-13

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