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High-Dimensional Methods and Inference on Structural and Treatment Effects

Citations

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography for Economics:
  1. > Econometrics > Big Data

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Cited by:

  1. Elena Esposito, 2022. "The Side Effects of Immunity: Malaria and African Slavery in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 290-328, July.
  2. 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.
  3. Green, Gareth & Richards, Timothy, 2016. "Interpreting Results of Demand Estimation from Machine Learning Models," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236147, Agricultural and Applied Economics Association.
  4. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Granger Causality Testing in High-Dimensional VARs: A Post-Double-Selection Procedure," Journal of Financial Econometrics, Oxford University Press, vol. 21(3), pages 915-958.
  5. Emanuele Ciani & Marco Gallo & Zeno Rotondi, 2020. "Public credit guarantee and financial additionalities across SME risk classes," Temi di discussione (Economic working papers) 1265, Bank of Italy, Economic Research and International Relations Area.
  6. Ghysels, Eric & Babii, Andrii & Chen, Xi & Kumar, Rohit, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," CEPR Discussion Papers 15418, C.E.P.R. Discussion Papers.
  7. Francesca Micocci & Armando Rungi, 2021. "Predicting Exporters with Machine Learning," Papers 2107.02512, arXiv.org, revised Sep 2022.
  8. Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
  9. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
  10. Gray, Colin, 2019. "Leaving benefits on the table: Evidence from SNAP," Journal of Public Economics, Elsevier, vol. 179(C).
  11. Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials [Microcredit impacts: Evidence from a randomized microcredit program placement experiment by Compartamos Banco]," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
  12. Gallego, Jorge & Rivero, Gonzalo & Martínez, Juan, 2021. "Preventing rather than punishing: An early warning model of malfeasance in public procurement," International Journal of Forecasting, Elsevier, vol. 37(1), pages 360-377.
  13. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "The Augmented Synthetic Control Method," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1789-1803, October.
  14. Giorgia Barboni & Juan Camilo Cárdenas & Nicolás de Roux, 2022. "Behavioral Messages and Debt Repayment," Documentos CEDE 20257, Universidad de los Andes, Facultad de Economía, CEDE.
  15. Gonzalez, Felipe & Prem, Mounu & von Dessauer, Cristine, 2023. "Empowerment or Indoctrination? Women Centers Under Dictatorship," SocArXiv 64mf9, Center for Open Science.
  16. Gallego, Jorge & Prem, Mounu & Vargas, Juan F., 2022. "Predicting Politicians' Misconduct: Evidence from Colombia," SocArXiv 5dp8t, Center for Open Science.
  17. Ofori, Isaac K. & Quaidoo, Christopher & Ofori, Pamela E., 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
  18. Mounu Prem & Juan F. Vargas & Olga Namen, 2023. "The Human Capital Peace Dividend," Journal of Human Resources, University of Wisconsin Press, vol. 58(3), pages 962-1002.
  19. 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.
  20. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2020. "Neural Network Models for Empirical Finance," JRFM, MDPI, vol. 13(11), pages 1-22, October.
  21. Erica M. Field & Rohini Pande & Natalia Rigol & Simone G. Schaner & Charity Troyer Moore, 2019. "On Her Own Account: How Strengthening Women's Financial Control Affects Labor Supply and Gender Norms," NBER Working Papers 26294, National Bureau of Economic Research, Inc.
  22. Emily Cuddy & Janet Currie, 2020. "Rules vs. Discretion: Treatment of Mental Illness in U.S. Adolescents," NBER Working Papers 27890, National Bureau of Economic Research, Inc.
  23. Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
  24. Mounu Prem & Juan F. Vargas & Daniel Mejía, 2023. "The Rise and Persistence of Illegal Crops: Evidence from a Naive Policy Announcement," The Review of Economics and Statistics, MIT Press, vol. 105(2), pages 344-358, March.
  25. Berden, Carolien & Croes, R. & Kemp, R. & Mikkers, Misja & van der Noll, Rob & Shestalova, V. & Svitak, Jan, 2019. "Hospital Competition in the Netherlands : An Empirical Investigation," Discussion Paper 2019-008, Tilburg University, Tilburg Law and Economic Center.
  26. Bernal, Carolina & Prem, Mounu & Vargas, Juan F. & Ortiz, Mónica, 2024. "Peaceful entry: Entrepreneurship dynamics during Colombia’s peace agreement," Journal of Development Economics, Elsevier, vol. 166(C).
  27. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
  28. 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.
  29. Joyce P Jacobsen & Laurence M Levin & Zachary Tausanovitch, 2016. "Comparing Standard Regression Modeling to Ensemble Modeling: How Data Mining Software Can Improve Economists’ Predictions," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 42(3), pages 387-398, June.
  30. Dominick Bartelme & Ting Ting & Andrei A. Levchenko, 2020. "Specialization, Market Access and Real Income," Working Papers 679, Research Seminar in International Economics, University of Michigan.
  31. Gabriella Conti & Mark Hanson & Hazel Inskip & Sarah Crozier & Cyrus Cooper & Keith Godfrey, 2018. "Beyond Birth Weight: The Origins of Human Capital," Working Papers 2018-089, Human Capital and Economic Opportunity Working Group.
  32. Nicolás de Roux & Luis Martínez, 2021. "Inversión Perdida: Conflicto Civil y Crédito Agrícola en Colombia," Documentos CEDE 19622, Universidad de los Andes, Facultad de Economía, CEDE.
  33. Joseph J. Sabia & Richard V. Burkhauser & Taylor Mackay, 2018. "Minimum Cash Wages, Tipped Restaurant Workers, and Poverty," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(4), pages 637-670, October.
  34. Briole, Simon & Gurgand, Marc & Maurin, Eric & McNally, Sandra & Ruiz-Valenzuela, Jenifer & Santín, Daniel, 2022. "The Making of Civic Virtues: A School-Based Experiment in Three Countries," IZA Discussion Papers 15141, Institute of Labor Economics (IZA).
  35. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
  36. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019. "Non-separable models with high-dimensional data," Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
  37. Jinyong Kim & Mingook Kim & Yongsik Kim, 2020. "Bank Transparency and the Market’s Perception of Bank Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 58(2), pages 115-142, December.
  38. 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.
  39. Auricchio, Marta & Ciani, Emanuele & Dalmazzo, Alberto & de Blasio, Guido, 2020. "Redistributive public employment? A test for the South of Italy," Economics Letters, Elsevier, vol. 186(C).
  40. Nicolás de Roux & Luis Roberto Martínez, 2021. "Forgone Investment: Civil Conflict and Agricultural Credit in Colombia," Documentos CEDE 19236, Universidad de los Andes, Facultad de Economía, CEDE.
  41. 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.
  42. Andini, Monica & Boldrini, Michela & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Paladini, Andrea, 2022. "Machine learning in the service of policy targeting: The case of public credit guarantees," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 434-475.
  43. Juan F. Vargas & Miguel E. Purroy & Felipe Coy & Sergio Perilla & Mounu Prem, 2023. "Fear to Vote: Explosions, Salience, and Elections," HiCN Working Papers 398, Households in Conflict Network.
  44. Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023. "High dimensional semiparametric moment restriction models," Journal of Econometrics, Elsevier, vol. 232(2), pages 320-345.
  45. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.
  46. Damian Kozbur, 2017. "Testing-Based Forward Model Selection," American Economic Review, American Economic Association, vol. 107(5), pages 266-269, May.
  47. Braaksma, Barteld & Zeelenberg, Kees, 2015. "“Re-make/Re-model”: Should big data change the modelling paradigm in official statistics?," MPRA Paper 87741, University Library of Munich, Germany.
  48. Alex Coad & Stjepan Srhoj, 2020. "Catching Gazelles with a Lasso: Big data techniques for the prediction of high-growth firms," Small Business Economics, Springer, vol. 55(3), pages 541-565, October.
  49. Dario Sansone & Anna Zhu, 2023. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 959-992, October.
  50. Jakob Everding & Jan Marcus, 2020. "The effect of unemployment on the smoking behavior of couples," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 154-170, February.
  51. Jermain C. Kaminski & Christian Hopp, 2020. "Predicting outcomes in crowdfunding campaigns with textual, visual, and linguistic signals," Small Business Economics, Springer, vol. 55(3), pages 627-649, October.
  52. Michael Bailey & Drew Johnston & Theresa Kuchler & Johannes Stroebel & Arlene Wong, 2022. "Peer Effects in Product Adoption," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 488-526, July.
  53. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
  54. McIntosh, Craig & Zeitlin, Andrew, 2022. "Using household grants to benchmark the cost effectiveness of a USAID workforce readiness program," Journal of Development Economics, Elsevier, vol. 157(C).
  55. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2022. "Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 597-636.
  56. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
  57. McKenzie, David & Sansone, Dario, 2017. "Man vs. Machine in Predicting Successful Entrepreneurs: Evidence from a Business Plan Competition in Nigeria," CEPR Discussion Papers 12523, C.E.P.R. Discussion Papers.
  58. Nelson, Kelly P. & Parton, Lee C. & Brown, Zachary S., 2022. "Biofuels policy and innovation impacts: Evidence from biofuels and agricultural patent indicators," Energy Policy, Elsevier, vol. 162(C).
  59. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
  60. Brown, Caitlin & Calvi, Rossella & Penglase, Jacob, 2021. "Sharing the pie: An analysis of undernutrition and individual consumption in Bangladesh," Journal of Public Economics, Elsevier, vol. 200(C).
  61. Otis, Nicholas G. & Clarke, Rowan Philip & Delecourt, Solene & Holtz, David & Koning, Rembrand, 2023. "The Uneven Impact of Generative AI on Entrepreneurial Performance," OSF Preprints hdjpk, Center for Open Science.
  62. Hvidman, Charlotte & Koch, Alexander K. & Nafziger, Julia & Nielsen, Søren Albeck & Rosholm, Michael, 2020. "An Intensive, School-Based Learning Camp Targeting Academic and Non-Cognitive Skills Evaluated in a Randomized Trial," IZA Discussion Papers 13771, Institute of Labor Economics (IZA).
  63. Merino Troncoso, Carlos, 2021. "Consumer Demand Estimation," MPRA Paper 105169, University Library of Munich, Germany.
  64. 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.
  65. Cobb-Clark, Deborah A. & Dahmann, Sarah Christina & Kamhöfer, Daniel A. & Schildberg-Hörisch, Hannah, 2019. "Self-control: Determinants, life outcomes and intergenerational implications," DICE Discussion Papers 319, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  66. Luis Aguiar Wicht & Joel Waldfogel & Sarah Waldfogel, 2018. "Playlisting Favorites: Is Spotify Gender-Biased?," JRC Working Papers on Digital Economy 2018-07, Joint Research Centre.
  67. Chaisemartin, Clement de & Navarrete, Nicolas, 2019. "The direct and spillover effects of a mental health program for disruptive students," CAGE Online Working Paper Series 401, Competitive Advantage in the Global Economy (CAGE).
  68. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
  69. Yusuke Narita, 2020. "A Theory of Quasi-Experimental Evaluation of School Quality," Working Papers 2020-085, Human Capital and Economic Opportunity Working Group.
  70. Caraiani, Petre, 2022. "Using LASSO-family models to estimate the impact of monetary policy on corporate investments," Economics Letters, Elsevier, vol. 210(C).
  71. Saskia Ter Ellen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "Narrative Monetary Policy Surprises and the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1525-1549, August.
  72. Andreas Fuster & Paul Goldsmith‐Pinkham & Tarun Ramadorai & Ansgar Walther, 2022. "Predictably Unequal? The Effects of Machine Learning on Credit Markets," Journal of Finance, American Finance Association, vol. 77(1), pages 5-47, February.
  73. Martey, Edward & Etwire, Prince M. & Atinga, David, 2021. "To attend or not to attend: Examining the relationship between food hardship, school attendance and education expenditure," International Journal of Educational Development, Elsevier, vol. 80(C).
  74. Dinarte-Diaz, Lelys & Ferreyra, Maria Marta & Urzua, Sergio & Bassi, Marina, 2023. "What makes a program good? Evidence from short-cycle higher education programs in five developing countries," World Development, Elsevier, vol. 169(C).
  75. Prem, Mounu & Purroy, Miguel E & Vargas, Juan F., 2021. "Landmines: The Local Effects of Demining," Working papers 86, Red Investigadores de Economía.
  76. Randy Carter & Netsanet Michael, 2022. "Factor Analysis Regression for Predictive Modeling with High-Dimensional Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 115-132, September.
  77. 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).
  78. Augsburg, Britta & Bancalari, Antonella & Durrani, Zara & Vaidyanathan, Madhav & White, Zach, 2022. "When nature calls back: Sustaining behavioral change in rural Pakistan," Journal of Development Economics, Elsevier, vol. 158(C).
  79. 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.
  80. Yukun Ma, 2023. "Identification-robust inference for the LATE with high-dimensional covariates," Papers 2302.09756, arXiv.org, revised Nov 2023.
  81. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
  82. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
  83. Krumer, Alex & Lechner, Michael, 2016. "Midweek Effect on Performance: Evidence from the German Soccer Bundesliga," Economics Working Paper Series 1609, University of St. Gallen, School of Economics and Political Science.
  84. 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).
  85. Manav Raj & Robert Seamans, 2019. "Primer on artificial intelligence and robotics," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.
  86. Marco Taboga, 2022. "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Empirical Economics, Springer, vol. 62(3), pages 991-1012, March.
  87. 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).
  88. Gerald A. Carlino & Albert Saiz, 2019. "Beautiful city: Leisure amenities and urban growth," Journal of Regional Science, Wiley Blackwell, vol. 59(3), pages 369-408, June.
  89. Clément de Chaisemartin & Nicolás Navarrete H., 2023. "The Direct and Spillover Effects of a Nationwide Socioemotional Learning Program for Disruptive Students," Journal of Labor Economics, University of Chicago Press, vol. 41(3), pages 729-769.
  90. Miric, Milan & Boudreau, Kevin J. & Jeppesen, Lars Bo, 2019. "Protecting their digital assets: The use of formal & informal appropriability strategies by App developers," Research Policy, Elsevier, vol. 48(8), pages 1-1.
  91. Georges, Christophre & Pereira, Javier, 2021. "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
  92. Perilla, Sergio & Prem, Mounu & Purroy, Miguel E. & Vargas, Juan F., 2024. "How peace saves lives: Evidence from Colombia," World Development, Elsevier, vol. 176(C).
  93. Paolo Buonanno & Elena Esposito & Giorgio Gulino, 2020. "Social adaptation to diseases and inequality: Historical evidence from malaria in Italy," Economics Working Papers 1755, Department of Economics and Business, Universitat Pompeu Fabra.
  94. Albanese, Giuseppe & Ciani, Emanuele & de Blasio, Guido, 2021. "Anything new in town? The local effects of urban regeneration policies in Italy," Regional Science and Urban Economics, Elsevier, vol. 86(C).
  95. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
  96. Anil Kumar, 2018. "Do Restrictions on Home Equity Extraction Contribute to Lower Mortgage Defaults? Evidence from a Policy Discontinuity at the Texas Border," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 268-297, February.
  97. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
  98. Athey, Susan & Imbens, Guido W., 2019. "Machine Learning Methods Economists Should Know About," Research Papers 3776, Stanford University, Graduate School of Business.
  99. Ingrid Gould Ellen & Keren Mertens Horn & Davin Reed, 2017. "Has Falling Crime Invited Gentrification?," Working Papers 17-27, Center for Economic Studies, U.S. Census Bureau.
  100. Diego A. Martin, 2024. "Women Seeking Jobs with Limited Information: Evidence from Iraq," CID Working Papers 157a, Center for International Development at Harvard University.
  101. Kilic, Gizem, 2021. "State-level Food Waste Policies In the U.S.: A Predictive Modelling," 2021 Annual Meeting, August 1-3, Austin, Texas 314091, Agricultural and Applied Economics Association.
  102. Clarissa Lotti & Giancarlo Spagnolo, 2022. "Indirect Savings from Public Procurement Centralization," CEIS Research Paper 532, Tor Vergata University, CEIS, revised 01 Feb 2022.
  103. 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).
  104. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
  105. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.
  106. Jonathan Hersh & Matthew Harding, 2018. "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.
  107. Khishigsuren Davagdorj & Van Huy Pham & Nipon Theera-Umpon & Keun Ho Ryu, 2020. "XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction," IJERPH, MDPI, vol. 17(18), pages 1-22, September.
  108. Ay, Jean-Sauveur & Le Gallo, Julie, 2021. "The Signaling Values of Nested Wine Names," Working Papers 321851, American Association of Wine Economists.
  109. Arindrajit Dube & Attila Lindner, 2021. "City Limits: What Do Local-Area Minimum Wages Do?," Journal of Economic Perspectives, American Economic Association, vol. 35(1), pages 27-50, Winter.
  110. Stefano Caria & Simon Franklin & Marc Witte, 2023. "Searching with Friends," Journal of Labor Economics, University of Chicago Press, vol. 41(4), pages 887-922.
  111. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
  112. 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.
  113. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
  114. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
  115. María Angelica Bautista & Felipe González & Luis R. Martínez & Pablo Munoz & Mounu Prem, 2018. "The Geography of Repression and Support for Democracy: Evidence from the Pinochet Dictatorship," Documentos de Trabajo 17007, Universidad del Rosario.
  116. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
  117. De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2022. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Journal of Econometrics, Elsevier, vol. 230(2), pages 299-317.
  118. Fabio Pammolli & Paolo Bonaretti & Massimo Riccaboni & Valentina Tortolini, 2019. "Quali Regole per la Spesa Farmaceutica? - Criticità, Impatti, Proposte," Working Papers CERM 01-2019, Competitività, Regole, Mercati (CERM).
  119. Patricia Boyallian & Pablo Ruiz-Verdú, 2018. "Leverage, CEO Risk-Taking Incentives, and Bank Failure during the 2007–10 Financial Crisis [Endogenous matching and the empirical determinants of contract form]," Review of Finance, European Finance Association, vol. 22(5), pages 1763-1805.
  120. Li, Zhaoyuan & Yao, Jianfeng, 2019. "Testing for heteroscedasticity in high-dimensional regressions," Econometrics and Statistics, Elsevier, vol. 9(C), pages 122-139.
  121. Jiaming Zeng & Michael F. Gensheimer & Daniel L. Rubin & Susan Athey & Ross D. Shachter, 2022. "Uncovering interpretable potential confounders in electronic medical records," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  122. Vargas, Juan F. & Purroy, Miguel E. & Coy, Felipe & Perilla, Sergio & Prem, Mounu, 2022. "Do explosions shape voting behavior?," SocArXiv dw9vn, Center for Open Science.
  123. Cerulli, Giovanni, 2020. "A Super-Learning Machine for Predicting Economic Outcomes," MPRA Paper 99111, University Library of Munich, Germany.
  124. Dominick Bartelme & Andrei Levchenko & Ting Lan, 2019. "Specialization, Market Access and Medium-Term Growth," 2019 Meeting Papers 999, Society for Economic Dynamics.
  125. Arceo-Gomez, Eva O. & Campos-Vazquez, Raymundo M., 2022. "Gender Bias in Evaluation Processes," Economics of Education Review, Elsevier, vol. 89(C).
  126. Sabrin Beg & Waqas Halim & Adrienne M. Lucas & Umar Saif, 2022. "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 61-90, May.
  127. Imke Reimers & Joel Waldfogel, 2021. "Digitization and Pre-purchase Information: The Causal and Welfare Impacts of Reviews and Crowd Ratings," American Economic Review, American Economic Association, vol. 111(6), pages 1944-1971, June.
  128. Pawel Dlotko & Simon Rudkin & Wanling Qiu, 2019. "Topologically Mapping the Macroeconomy," Papers 1911.10476, arXiv.org.
  129. Mullally, Conner & Chakravarty, Shourish, 2018. "Are matching funds for smallholder irrigation money well spent?," Food Policy, Elsevier, vol. 76(C), pages 70-80.
  130. Karolis Matikonis & Matthew Gobey, 2024. "Small Business Property Tax Reductions and Firm Productivity," Small Business Economics, Springer, vol. 62(1), pages 307-324, January.
  131. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.
  132. Maffioli, Elisa M., 2021. "The political economy of health epidemics: Evidence from the Ebola outbreak," Journal of Development Economics, Elsevier, vol. 151(C).
  133. Emanuele Ciani & Guido de Blasio, 2015. "European structural funds during the crisis: evidence from Southern Italy," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-31, December.
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