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Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€


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  1. Naveen Naidu Narisetty, 2020. "Discussion," International Statistical Review, International Statistical Institute, vol. 88(2), pages 330-334, August.
  2. Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
  3. Rahul Singh, 2021. "Debiased Kernel Methods," Papers 2102.11076,, revised Mar 2021.
  4. Schmitz, Hendrik & Westphal, Matthias, 2017. "Informal care and long-term labor market outcomes," Journal of Health Economics, Elsevier, vol. 56(C), pages 1-18.
  5. Daniele Guariso, 2018. "Terrorist Attacks and Immigration Rhetoric: A Natural Experiment on British MPs," Working Paper Series 1218, Department of Economics, University of Sussex Business School.
  6. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  7. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036,, revised Dec 2021.
  8. Jannis Kueck & Ye Luo & Martin Spindler & Zigan Wang, 2017. "Estimation and Inference of Treatment Effects with $L_2$-Boosting in High-Dimensional Settings," Papers 1801.00364,, revised Jul 2021.
  9. René Böheim & Philipp Stöllinger, 2021. "Decomposition of the gender wage gap using the LASSO estimator," Applied Economics Letters, Taylor & Francis Journals, vol. 28(10), pages 817-828, June.
  10. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2019. "Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 749-758, April.
  11. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
  12. Caner, Mehmet & Kock, Anders Bredahl, 2018. "Asymptotically honest confidence regions for high dimensional parameters by the desparsified conservative Lasso," Journal of Econometrics, Elsevier, vol. 203(1), pages 143-168.
  13. Yue, Lili & Li, Gaorong & Lian, Heng & Wan, Xiang, 2019. "Regression adjustment for treatment effect with multicollinearity in high dimensions," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 17-35.
  14. Abhijit Banerjee & Esther Duflo & Amy Finkelstein & Lawrence F. Katz & Benjamin A. Olken & Anja Sautmann, 2020. "In Praise of Moderation: Suggestions for the Scope and Use of Pre-Analysis Plans for RCTs in Economics," NBER Working Papers 26993, National Bureau of Economic Research, Inc.
  15. 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.
  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. Matias D Cattaneo & Michael Jansson & Xinwei Ma, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Review of Economic Studies, Oxford University Press, vol. 86(3), pages 1095-1122.
  18. Belloni, Alexandre. & Chen, Mingli & Chernozhukov, Victor, 2016. "Quantile Graphical Models: Prediction and Conditional Independence with Applications to Financial Risk Management," The Warwick Economics Research Paper Series (TWERPS) 1125, University of Warwick, Department of Economics.
  19. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373,
  20. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
  21. Neng-Chieh Chang, 2020. "The Mode Treatment Effect," Papers 2007.11606,
  22. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
  23. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1350-1361, July.
  24. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
  25. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
  26. Hansen, Christian & Liao, Yuan, 2019. "The Factor-Lasso And K-Step Bootstrap Approach For Inference In High-Dimensional Economic Applications," Econometric Theory, Cambridge University Press, vol. 35(3), pages 465-509, June.
  27. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704,, revised Sep 2021.
  28. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641,
  29. Marco Battaglini & Forrest W. Crawford & Eleonora Patacchini & Sida Peng, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," NBER Working Papers 27557, National Bureau of Economic Research, Inc.
  30. Jessica Goldberg & Mario Macis & Pradeep Chintagunta, 2018. "Incentivized Peer Referrals for Tuberculosis Screening: Evidence from India," NBER Working Papers 25279, National Bureau of Economic Research, Inc.
  31. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2019. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1339-1350, July.
  32. Backes-Gellner, Uschi & Herz, Holger & Kosfeld, Michael & Oswald, Yvonne, 2021. "Do preferences and biases predict life outcomes? Evidence from education and labor market entry decisions," European Economic Review, Elsevier, vol. 134(C).
  33. Marianne Baxter, 2017. "Robust Determinants of Bilateral Trade," 2017 Meeting Papers 591, Society for Economic Dynamics.
  34. Fremstad, Anders, 2017. "Does Craigslist Reduce Waste? Evidence from California and Florida," Ecological Economics, Elsevier, vol. 132(C), pages 135-143.
  35. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
  36. 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," SPRU Working Paper Series 2020-13, SPRU - Science Policy Research Unit, University of Sussex Business School.
  37. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
  38. Bellmann, Lutz & Hübler, Olaf, 2019. "Personal Attitudes, Job Characteristics and Health," IZA Discussion Papers 12597, Institute of Labor Economics (IZA).
  39. Janzen, Sarah A. & Magnan, Nicholas & Mullally, Conner C. & Sharma, Shruti, 2021. "Training and Shifting Gender Norms: Evidence from a training intervention in rural Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 314065, Agricultural and Applied Economics Association.
  40. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03455978, HAL.
  41. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
  42. Khai X. Chiong & Hyungsik Roger Moon, 2017. "Estimation of Graphical Models using the $L_{1,2}$ Norm," Papers 1709.10038,, revised Oct 2017.
  43. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
  44. Andrew B. Martinez, 2020. "Forecast Accuracy Matters for Hurricane Damage," Econometrics, MDPI, vol. 8(2), pages 1-24, May.
  45. Mehmet Caner & Kfir Eliaz, 2021. "Shoiuld Humans Lie to Machines: The Incentive Compatibility of Lasso and General Weighted Lasso," Papers 2101.01144,, revised Sep 2021.
  46. Aaron Chalfin & Benjamin Hansen & Jason Lerner & Lucie Parker, 2019. "Reducing Crime Through Environmental Design: Evidence from a Randomized Experiment of Street Lighting in New York City," NBER Working Papers 25798, National Bureau of Economic Research, Inc.
  47. Alexandre Belloni & Mingli Chen & Victor Chernozhukov, 2016. "Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk," Papers 1607.00286,, revised Oct 2019.
  48. Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang, 2018. "LASSO-driven inference in time and space," CeMMAP working papers CWP36/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  49. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744,
  50. Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210,, revised Jul 2020.
  51. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed," Labour Economics, Elsevier, vol. 65(C).
  52. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
  53. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779,
  54. Jana Janková & Rajen D. Shah & Peter Bühlmann & Richard J. Samworth, 2020. "Goodness‐of‐fit testing in high dimensional generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 773-795, July.
  55. van de Geer, Sara, 2016. "Worst possible sub-directions in high-dimensional models," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 248-260.
  56. McCloskey, Adam, 2017. "Bonferroni-based size-correction for nonstandard testing problems," Journal of Econometrics, Elsevier, vol. 200(1), pages 17-35.
  57. Erjie Ang & Sara Kwasnick & Mohsen Bayati & Erica L. Plambeck & Michael Aratow, 2016. "Accurate Emergency Department Wait Time Prediction," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 141-156, February.
  58. Tomaso Duso & Claus Michelsen & Maximilian Schäfer & Kevin Ducbao Tran, 2021. "Airbnb and Rental Markets: Evidence from Berlin," Bristol Economics Discussion Papers 21/746, School of Economics, University of Bristol, UK.
  59. Hector Espinoza & Stefan Speckesser, 2019. "A Comparison of Earnings Related to Higher Level Vocational/Technical and Academic Education," National Institute of Economic and Social Research (NIESR) Discussion Papers 502, National Institute of Economic and Social Research.
  60. Daniel Jacob, 2019. "Group Average Treatment Effects for Observational Studies," Papers 1911.02688,, revised Mar 2020.
  61. Islam, Asad & Lee, Wang-Sheng & Nicholas, Aaron, 2021. "The Effects of Chess Instruction on Academic and Non-cognitive Outcomes: Field Experimental Evidence from a Developing Country," Journal of Development Economics, Elsevier, vol. 150(C).
  62. Jong Hee Park & Byung Koo Kim, 2020. "Why your neighbor matters: Positions in preferential trade agreement networks and export growth in global value chains," Economics and Politics, Wiley Blackwell, vol. 32(3), pages 381-410, November.
  63. Finseraas, Henning & Hanson, Torbjørn & Johnsen, Åshild A. & Kotsadam, Andreas & Torsvik, Gaute, 2019. "Trust, ethnic diversity, and personal contact: A field experiment," Journal of Public Economics, Elsevier, vol. 173(C), pages 72-84.
  64. Yoici Arai & Taisuke Otsu & Myung Hwan Seo, 2019. "Causal inference on regression discontinuity designs by high-dimensional methods," STICERD - Econometrics Paper Series 601, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  65. Christian Hansen & Yuan Liao, 2016. "The Factor-Lasso and K-Step Bootstrap Approach for Inference in High-Dimensional Economic Applications," Papers 1611.09420,, revised Dec 2016.
  66. Everding, Jakob & Marcus, Jan, 2020. "The effect of unemployment on the smoking behavior of couples," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 154-170.
  67. Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191,, revised Oct 2021.
  68. Haitian Xie, 2020. "Generalized Local IV with Unordered Multiple Treatment Levels: Identification, Efficient Estimation, and Testable Implication," Papers 2001.06746,
  69. Diva Dhar & Tarun Jain & Seema Jayachandran, 2018. "Reshaping Adolescents' Gender Attitudes: Evidence from a School-Based Experiment in India," NBER Working Papers 25331, National Bureau of Economic Research, Inc.
  70. Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751,
  71. Huwe, Vera & Gessner, Johannes, 2020. "Are there rebound effects from electric vehicle adoption? Evidence from German household data," ZEW Discussion Papers 20-048, ZEW - Leibniz Centre for European Economic Research.
  72. Denis Fougère & Nicolas Jacquemet, 2019. "Causal Inference and Impact Evaluation," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Études Économiques (INSEE), issue 510-511-5, pages 181-200.
  73. Alexei Alexandrov & Russell Pittman & Olga Ukhaneva, 2018. "Pricing of Complements in the U.S. Freight Railroads: Cournot Versus Coase," EAG Discussions Papers 201801, Department of Justice, Antitrust Division.
  74. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
  75. Masaki,Takaaki & Newhouse,David Locke & Silwal,Ani Rudra & Bedada,Adane & Engstrom,Ryan, 2020. "Small Area Estimation of Non-Monetary Poverty with Geospatial Data," Policy Research Working Paper Series 9383, The World Bank.
  76. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer, 2020. "lassopack: Model selection and prediction with regularized regression in Stata," Stata Journal, StataCorp LP, vol. 20(1), pages 176-235, March.
  77. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.
  78. Victor Chernozhukov & Chen Huang & Weining Wang, 2021. "Learning Financial Network with Focally Sparse Structure," Papers 2105.07424,
  79. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
  80. Elaad, Guy & Kantor, Jeffrey & Krumer, Alex, 2017. "Corruption and Contests: Cross-Country Evidence from Sensitive Soccer Matches," Economics Working Paper Series 1708, University of St. Gallen, School of Economics and Political Science.
  81. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
  82. Peter Eibich, 2021. "Care or self-care? The impact of informal care provision on health behaviour," MPIDR Working Papers WP-2021-005, Max Planck Institute for Demographic Research, Rostock, Germany.
  83. Courtemanche, Charles & Pinkston, Joshua C. & Stewart, Jay, 2021. "Time spent exercising and obesity: An application of Lewbel’s instrumental variables method," Economics & Human Biology, Elsevier, vol. 41(C).
  84. Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
  85. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019. "Non-separable models with high-dimensional data," Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
  86. Damian Kozbur, 2017. "Testing-Based Forward Model Selection," American Economic Review, American Economic Association, vol. 107(5), pages 266-269, May.
  87. Solène Collot & Tobias Hemauer, 2021. "A literature review of new methods in empirical asset pricing: omitted-variable and errors-in-variable bias," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(1), pages 77-100, March.
  88. Samuel Bazzi & Matthew Gudgeon, 2017. "The Political Boundaries of Ethnic Divisions," Boston University - Department of Economics - Working Papers Series WP2018-005, Boston University - Department of Economics.
  89. Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.
  90. Nancy Kong & Uwe Dulleck & Adam Jaffe & Shupeng Sun & Sowmya Vajjala, 2020. "Linguistic Metrics for Patent Disclosure: Evidence from University versus Corporate Patents," CESifo Working Paper Series 8571, CESifo.
  91. Adam D. Nowak & Patrick S. Smith, 2020. "Quality-Adjusted House Price Indexes," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 339-356, September.
  92. Michael Zimmert, 2018. "Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding," Papers 1809.01643,, revised Aug 2020.
  93. Azoulay, Pierre & Greenblatt, Wesley H. & Heggeness, Misty L., 2021. "Long-term effects from early exposure to research: Evidence from the NIH “Yellow Berets”," Research Policy, Elsevier, vol. 50(9).
  94. Decker, Simon & Schmitz, Hendrik, 2016. "Health shocks and risk aversion," Journal of Health Economics, Elsevier, vol. 50(C), pages 156-170.
  95. Athey, Susan & Bergstrom, Katy & Hadad, Vitor & Jamison, Julian C. & Ozler, Berk & Parisotto, Luca & Sama, Julius Dohbit, 2021. "Shared Decision-Making: Can Improved Counseling Increase Willingness to Pay for Modern Contraceptives?," Research Papers 3987, Stanford University, Graduate School of Business.
  96. 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.
  97. Philipp Bach & Victor Chernozhukov & Malte S. Kurz & Martin Spindler, 2021. "DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R," Papers 2103.09603,, revised Jun 2021.
  98. Mullally, Conner & Chakravarty, Shourish, 2018. "Are matching funds for smallholder irrigation money well spent?," Food Policy, Elsevier, vol. 76(C), pages 70-80.
  99. Michael C. Knaus, 2021. "A double machine learning approach to estimate the effects of musical practice on student’s skills," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
  100. Szabó-Morvai Ágnes & Hubert János Kiss, 2020. "Locus of control and Human Capital Investment Decisions: The Role of Effort, Parental Preferences and Financial Constraints," CERS-IE WORKING PAPERS 2055, Institute of Economics, Centre for Economic and Regional Studies.
  101. Montiel Olea, José Luis & Nesbit, James, 2021. "(Machine) learning parameter regions," Journal of Econometrics, Elsevier, vol. 222(1), pages 716-744.
  102. Alexandre Belloni & Victor Chernozhukov & Ying Wei, 2016. "Post-Selection Inference for Generalized Linear Models With Many Controls," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 606-619, October.
  103. Santos, Luca J. & Oliveira, Alessandro V.M. & Aldrighi, Dante Mendes, 2021. "Testing the differentiated impact of the COVID-19 pandemic on air travel demand considering social inclusion," Journal of Air Transport Management, Elsevier, vol. 94(C).
  104. Lerbs, Oliver & Teske, Markus, 2016. "The house price-vacancy curve," ZEW Discussion Papers 16-082, ZEW - Leibniz Centre for European Economic Research.
  105. Nadine Levratto & Aurelien Quignon, 2021. "Innovation Performance and the Signal Effect: Evidence from a European Program," Working Papers halshs-03466903, HAL.
  106. Philipp Kugler, 2022. "The role of wage beliefs in the decision to become a nurse," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 94-111, January.
  107. Alexandrov, Alexei & Pittman, Russell & Ukhaneva, Olga, 2017. "Royalty stacking in the U.S. freight railroads: Cournot vs. Coase," MPRA Paper 78249, University Library of Munich, Germany.
  108. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
  109. Antonelli Joseph & Cefalu Matthew, 2020. "Averaging causal estimators in high dimensions," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 92-107, January.
  110. Huseynov, Samir & Palma, Marco A., 2018. "Does California’s LCFS Reduce CO2 Emissions?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274200, Agricultural and Applied Economics Association.
  111. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2013. "Uniform Post Selection Inference for LAD Regression and Other Z-estimation problems," Papers 1304.0282,, revised Oct 2020.
  112. Rui Da & Dacheng Xiu, 2021. "When Moving‐Average Models Meet High‐Frequency Data: Uniform Inference on Volatility," Econometrica, Econometric Society, vol. 89(6), pages 2787-2825, November.
  113. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103,
  114. Simon Berset & Mark Schelker, 2021. "Decentralization and Progressive Taxation," CESifo Working Paper Series 8862, CESifo.
  115. 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.
  116. Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019. "Specification tests for the propensity score," Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
  117. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802,, revised Apr 2021.
  118. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851,
  119. Oliver Dukes & Vahe Avagyan & Stijn Vansteelandt, 2020. "Doubly robust tests of exposure effects under high‐dimensional confounding," Biometrics, The International Biometric Society, vol. 76(4), pages 1190-1200, December.
  120. Victor Chernozhukov & Whitney Newey & Rahul Singh & Vasilis Syrgkanis, 2020. "Adversarial Estimation of Riesz Representers," Papers 2101.00009,
  121. Zhengyuan Zhou & Susan Athey & Stefan Wager, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Papers 1810.04778,, revised Nov 2018.
  122. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224,, revised Apr 2021.
  123. Firpo, Sergio & Foguel, Miguel N. & Jales, Hugo, 2020. "Balancing tests in stratified randomized controlled trials: A cautionary note," Economics Letters, Elsevier, vol. 186(C).
  124. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  125. Magnan, Nicholas & Hoffmann, Vivian & Opoku, Nelson & Gajate Garrido, Gissele & Kanyam, Daniel Akwasi, 2021. "Information, technology, and market rewards: Incentivizing aflatoxin control in Ghana," Journal of Development Economics, Elsevier, vol. 151(C).
  126. Luv Sharma & Aravind Chandrasekaran & Elliot Bendoly, 2020. "Does the Office of Patient Experience Matter in Improving Delivery of Care?," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 833-855, April.
  127. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
  128. Lu Jinks & Thomas J. Kniesner & John Leeth & Anthony T. Lo Sasso, 2020. "Opting out of workers’ compensation: Non-subscription in Texas and its effects," Journal of Risk and Uncertainty, Springer, vol. 60(1), pages 53-76, February.
  129. Wang, Steven Shuye & Xu, Kuan & Zhang, Hao, 2019. "A microstructure study of circuit breakers in the Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  130. Gareth Liu-Evans & Shalini Mitra, 2020. "Formal sector enforcement and welfare," Working Papers 202030, University of Liverpool, Department of Economics.
  131. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326,, revised Feb 2020.
  132. Neng-Chieh Chang, 2018. "Semiparametric Difference-in-Differences with Potentially Many Control Variables," Papers 1812.10846,, revised Jan 2019.
  133. Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
  134. Marianne Bl'ehaut & Xavier D'Haultfoeuille & J'er'emy L'Hour & Alexandre B. Tsybakov, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Papers 2005.12225,, revised Jun 2021.
  135. Galletta, Sergio, 2021. "Form of government and voters’ preferences for public spending," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 548-561.
  136. Jelena Bradic & Victor Chernozhukov & Whitney K. Newey & Yinchu Zhu, 2019. "Minimax Semiparametric Learning With Approximate Sparsity," Papers 1912.12213,, revised Mar 2021.
  137. Sida Peng, 2019. "Heterogeneous Endogenous Effects in Networks," Papers 1908.00663,
  138. Borgschulte, Mark & Vogler, Jacob, 2020. "Did the ACA Medicaid expansion save lives?," Journal of Health Economics, Elsevier, vol. 72(C).
  139. Lieb, Lenard & Schuffels, Johannes, 2020. "Inflation expectations and consumer spending: the role of household balance sheets (RM/19/022-revised-)," Research Memorandum 006, Maastricht University, Graduate School of Business and Economics (GSBE).
  140. Bedoya Arguelles,Guadalupe & Bittarello,Luca & Davis,Jonathan Martin Villars & Mittag,Nikolas Karl & Bedoya Arguelles,Guadalupe & Bittarello,Luca & Davis,Jonathan Martin Villars & Mittag,Nikolas Karl, 2017. "Distributional impact analysis: toolkit and illustrations of impacts beyond the average treatment effect," Policy Research Working Paper Series 8139, The World Bank.
  141. 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).
  142. John List & Julie Pernaudet & Dana Suskind, 2021. "It All Starts with Beliefs: Addressing the Roots of Educational Inequities by Changing Parental Beliefs," Framed Field Experiments 00740, The Field Experiments Website.
  143. Hongjian Shi & Marc Hallin & Mathias Drton & Fang Han, 2020. "Rate-Optimality of Consistent Distribution-Free Tests of Independence Based on Center-Outward Ranks and Signs," Working Papers ECARES 2020-23, ULB -- Universite Libre de Bruxelles.
  144. Lan, Wei & Zhong, Ping-Shou & Li, Runze & Wang, Hansheng & Tsai, Chih-Ling, 2016. "Testing a single regression coefficient in high dimensional linear models," Journal of Econometrics, Elsevier, vol. 195(1), pages 154-168.
  145. Brade, Raphael, 2021. "Social Information and Educational Investment – Nudging Remedial Math Course Participation," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242393, Verein für Socialpolitik / German Economic Association.
  146. Soumajyoti Sarkar & Hamidreza Alvari, 2020. "Mitigating Bias in Online Microfinance Platforms: A Case Study on," Papers 2006.12995,
  147. Robert Adamek & Stephan Smeekes & Ines Wilms, 2020. "Lasso Inference for High-Dimensional Time Series," Papers 2007.10952,, revised Aug 2021.
  148. Simon Berset & Martin Huber & Mark Schelker, 2021. "The fiscal response to revenue shocks," Papers 2101.07661,
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  150. Fred Mawunyo Dzanku & Robert Osei & Isaac Osei‐Akoto, 2021. "The impact of mobile phone voice message reminders on agricultural outcomes in Mali," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 789-806, September.
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  152. Chakravorty, Bhaskar & Bhatiya, Apurav Yash & Imbert, Clément & Lohnert, Maximilian & Panda, Poonam & Rathelot, Roland, 2021. "Impact of COVID-19 Crisis on Rural Youth: Evidence from a Panel Survey and an Experiment," GLO Discussion Paper Series 909, Global Labor Organization (GLO).
  153. Yoichi Arai & Taisuke Otsu & Myung Hwan Seo, 2021. "Regression Discontinuity Design with Potentially Many Covariates," Papers 2109.08351,
  154. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
  155. Lieb, Lenard & Schuffels, Johannes, 2019. "Inflation expectations and consumer spending: the role of household balance sheets," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
  156. Cocker Liu & Adam Nowak & Patrick Smith, 2017. "Some Remarks on Real Estate Pricing," Working Papers 17-20, Department of Economics, West Virginia University.
  157. Raval, Devesh & Rosenbaum, Ted & Wilson, Nathan E., 2021. "How do machine learning algorithms perform in predicting hospital choices? evidence from changing environments," Journal of Health Economics, Elsevier, vol. 78(C).
  158. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536,
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  163. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
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  165. de Menezes Barboza, Ricardo & Vasconcelos, Gabriel F.R., 2019. "Measuring the aggregate effects of the Brazilian Development Bank on investment," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 223-236.
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  169. Margaret E. Roberts & Brandon M. Stewart & Richard A. Nielsen, 2020. "Adjusting for Confounding with Text Matching," American Journal of Political Science, John Wiley & Sons, vol. 64(4), pages 887-903, October.
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  171. Vira Semenova, 2020. "Generalized Lee Bounds," Papers 2008.12720,, revised Nov 2021.
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  173. Christensen, Peter & Osman, Adam, 2021. "The Demand for Mobility: Evidence from an Experiment with Uber Riders," IZA Discussion Papers 14179, Institute of Labor Economics (IZA).
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  183. Delesalle, Esther, 2021. "The effect of the Universal Primary Education program on consumption and on the employment sector: Evidence from Tanzania," World Development, Elsevier, vol. 142(C).
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