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The State of Applied Econometrics - Causality and Policy Evaluation
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Cited by:
- Amit Sharma & Emre Kiciman, 2020. "DoWhy: An End-to-End Library for Causal Inference," Papers 2011.04216, arXiv.org.
- Mohammad Reza Farzanegan & Mohammad Ali Kadivar, 2023.
"The effect of Islamic revolution and war on income inequality in Iran,"
Empirical Economics, Springer, vol. 65(2), pages 1007-1026, August.
- Mohammad Reza Farzanegan & Mohammad Ali Kadivar, 2021. "The Effect of Islamic Revolution and War on Income Inequality in Iran," CESifo Working Paper Series 9428, CESifo.
- Tatyana Deryugina & Garth Heutel & Nolan H. Miller & David Molitor & Julian Reif, 2019.
"The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction,"
American Economic Review, American Economic Association, vol. 109(12), pages 4178-4219, December.
- Tatyana Deryugina & Garth Heutel & Nolan H. Miller & David Molitor & Julian Reif, 2016. "The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction," NBER Working Papers 22796, National Bureau of Economic Research, Inc.
- Matthew A. Cole & Robert J R Elliott & Bowen Liu, 2020.
"The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 553-580, August.
- Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers 20-09, Department of Economics, University of Birmingham.
- Minghui Fu & Chuanjiang Liu & Yuting Ma & Liukun Wang, 2022. "Does City Public Service Distance Increase Sense of Gain to Public Health Service? Evidence from 1394 Migrant Workers in Six Provinces," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
- Masahiro Kato & Akari Ohda & Masaaki Imaizumi, 2023. "Asymptotically Unbiased Synthetic Control Methods by Distribution Matching," Papers 2307.11127, arXiv.org, revised May 2024.
- Isil Erel & Léa H Stern & Chenhao Tan & Michael S Weisbach, 2021.
"Selecting Directors Using Machine Learning,"
NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3226-3264,
National Bureau of Economic Research, Inc.
- Isil Erel & Léa H Stern & Chenhao Tan & Michael S Weisbach, 2021. "Selecting Directors Using Machine Learning [The role of boards of directors in corporate governance: A conceptual framework and survey]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3226-3264.
- Erel, Isil & Stern, Lea Henny & Tan, Chenhao & Weisbach, Michael S., 2018. "Selecting Directors Using Machine Learning," Working Paper Series 2018-05, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Isil Erel & Léa H. Stern & Chenhao Tan & Michael S. Weisbach, 2018. "Selecting Directors Using Machine Learning," NBER Working Papers 24435, National Bureau of Economic Research, Inc.
- Tsang, Andrew, 2021.
"Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy,"
MPRA Paper
110703, University Library of Munich, Germany.
- Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series 62, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
- Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
- Dennis Essers & Stefaan Ide, 2017. "The IMF and precautionary lending : An empirical evaluation of the selectivity and effectiveness of the flexible credit line," Working Paper Research 323, National Bank of Belgium.
- Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2022.
"How effective is carbon pricing?—A machine learning approach to policy evaluation,"
Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
- Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2021. "How effective is carbon pricing? A machine learning approach to policy evaluation," ZEW Discussion Papers 21-039, ZEW - Leibniz Centre for European Economic Research.
- de Rassenfosse, Gaétan & Grazzi, Marco & Moschella, Daniele & Pellegrino, Gabriele, 2022.
"International patent protection and trade: Transaction-level evidence,"
European Economic Review, Elsevier, vol. 147(C).
- Gaetan de Rassenfosse & Marco Grazzi & Daniele Moschella & Gabriele Pellegrino, 2020. "International Patent Protection and Trade: Transaction-Level Evidence," LEM Papers Series 2020/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Gaetan de Rassenfosse & Marco Grazzi & Daniele Moschella & Gabriele Pellegrino, 2020. "International Patent Protection and Trade: Transaction-Level Evidence," Working Papers 8, Chair of Science, Technology, and Innovation Policy.
- Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
- Isabel Busom & Jorge-Andrés Vélez-Ospina, 2021.
"Subsidising innovation over the business cycle,"
Industry and Innovation, Taylor & Francis Journals, vol. 28(6), pages 773-803, July.
- Jorge Andrés Vélez-Ospina & Isabel Busom Piquer, 2020. "Subsidizing Innovation Over the Business Cycle," Working Papers wpdea2001, Department of Applied Economics at Universitat Autonoma of Barcelona.
- Isabel Busom & Jorge Vélez-Ospina, 2020. "Subsidising Innovation over the Business Cycle," SPRU Working Paper Series 2020-09, SPRU - Science Policy Research Unit, University of Sussex Business School.
- MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020.
"Causality in econometric modeling. From theory to structural causal modeling,"
LIDAM Discussion Papers CORE
2020003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
- Orsi, Renzo & Mouchart, Michel & Wunsch, Guillaume, 2022. "Causality in Econometric Modeling : From Theory to Structural Causal Modeling," LIDAM Reprints ISBA 2022024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA 2020021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Ying Liu & Haoran Zhao & Jieguang Sun & Yahui Tang, 2022. "Digital Inclusive Finance and Family Wealth: Evidence from LightGBM Approach," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
- Coveney, Max & Oosterveen, Matthijs, 2021. "What drives ability peer effects?," European Economic Review, Elsevier, vol. 136(C).
- Alice Lépissier & Matto Mildenberger, 2021. "Unilateral climate policies can substantially reduce national carbon pollution," Climatic Change, Springer, vol. 166(3), pages 1-21, June.
- 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.
- Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
- Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "The Augmented Synthetic Control Method," NBER Working Papers 28885, National Bureau of Economic Research, Inc.
- Dalmazzo, Alberto & de Blasio, Guido & Poy, Samuele, 2018.
"Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963),"
Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 284-306.
- Dalmazzo, Alberto & de Blasio, Guido & Poy, Samuele, 2017. "Local Secessions, Homophily, and Growth. A Model with some Evidence from the Regions of Abruzzo and Molise (Italy, 1963)," GLO Discussion Paper Series 125, Global Labor Organization (GLO).
- Orhan Erdem & Sukran Erdem & Kelly Monson, 2023. "Children, vaccines, and financial incentives," International Journal of Health Economics and Management, Springer, vol. 23(4), pages 537-552, December.
- Nils Verheuvel & Joost Witteman & Marilou Vlaanderen, 2023. "Synthetic Control Method for Dutch Policy Evaluation," De Economist, Springer, vol. 171(1), pages 51-83, March.
- Denti, Daria & Iammarino, Simona, 2022.
"Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?,"
Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
- Daria Denti & Simona Iammarino, 2020. "Coming out of the woods. Do local support services influence the propensity to report sexual violence?," Discussion Paper series in Regional Science & Economic Geography 2020-03, Gran Sasso Science Institute, Social Sciences, revised Jun 2020.
- Denti, Daria & Iammarino, Simona, 2021. "Coming out of the woods. Do local support services influence the propensity to report sexual violence?," LSE Research Online Documents on Economics 108186, London School of Economics and Political Science, LSE Library.
- Denti, Daria & Iammarino, Simona, 2022. "Coming out of the woods. Do local support services influence the propensity to report sexual violence?," LSE Research Online Documents on Economics 112710, London School of Economics and Political Science, LSE Library.
- Fabiana Rocha & Maria Dolores Montoya Diaz & Paula Carvalho Pereda & Isadora Bousquat Arabe & Filipe Cavalcanti & Samuel Lordemus & Noemi Kreif & Rodrigo Moreno-Serra, 2024. "COVID-19 and gender-biased violence: current knowledge, gaps, and implications for public policy," Working Papers, Department of Economics 2024_14, University of São Paulo (FEA-USP).
- Nadine McCloud & Ajornie Taylor, 2022. "Does inflation targeting matter for international trade? A synthetic control analysis," Empirical Economics, Springer, vol. 63(5), pages 2427-2478, November.
- Delis, Manthos & Galariotis, Emilios & Monne, Jerome, 2021.
"Economic condition and financial cognition,"
Journal of Banking & Finance, Elsevier, vol. 123(C).
- Manthos Delis & Emilios Galariotis & Jerome Monne, 2021. "Economic condition and financial cognition," Post-Print hal-03091630, HAL.
- Angelo Cozzubo & Elard Amaya & Juan Cueto, 2021. "The social costs of crime: the erosion of trust between citizens and public institutions," Economics of Governance, Springer, vol. 22(2), pages 93-117, June.
- Lechner, Michael, 2018.
"Modified Causal Forests for Estimating Heterogeneous Causal Effects,"
IZA Discussion Papers
12040, Institute of Labor Economics (IZA).
- Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
- Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
- Michael Lechner, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Papers 1812.09487, arXiv.org, revised Jul 2019.
- Böckerman, Petri & Haapanen, Mika & Jepsen, Christopher, 2019. "Back to school: Labor-market returns to higher vocational schooling," Labour Economics, Elsevier, vol. 61(C).
- Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
- Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
- David Audretsch & Paul P. Momtaz & Hanna Motuzenko & Silvio Vismara, 2023. "The Economic Costs of the Russia-Ukraine War: A Synthetic Control Study of (Lost) Entrepreneurship," Papers 2303.02773, arXiv.org.
- Simon Blöthner & Mario Larch, 2022.
"Economic determinants of regional trade agreements revisited using machine learning,"
Empirical Economics, Springer, vol. 63(4), pages 1771-1807, October.
- Simon Blöthner & Mario Larch, 2021. "Economic Determinants of Regional Trade Agreements Revisited Using Machine Learning," CESifo Working Paper Series 9233, CESifo.
- Wei Chen & Zaiyan Wei & Karen Xie, 2022. "The Battle for Homes: How Does Home Sharing Disrupt Local Residential Markets?," Management Science, INFORMS, vol. 68(12), pages 8589-8612, December.
- Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021.
"Active labour market policies for the long-term unemployed: New evidence from causal machine learning,"
Papers
2106.10141, arXiv.org, revised May 2023.
- Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
- Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active Labour Market Policies for the Long-Term Unemployed: New Evidence from Causal Machine Learning," IZA Discussion Papers 14486, Institute of Labor Economics (IZA).
- Wei, Waverly & Zhou, Yuqing & Zheng, Zeyu & Wang, Jingshen, 2024. "Inference on the best policies with many covariates," Journal of Econometrics, Elsevier, vol. 239(2).
- Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022.
"A neural network ensemble approach for GDP forecasting,"
Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
- Luigi Longo & Massimo Riccaboni & Armando Rungi, 2021. "A Neural Network Ensemble Approach for GDP Forecasting," Working Papers 02/2021, IMT School for Advanced Studies Lucca, revised Mar 2021.
- Thomas Buser & Huaiping Yuan, 2019.
"Do Women Give Up Competing More Easily? Evidence from the Lab and the Dutch Math Olympiad,"
American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 225-252, July.
- Thomas Buser & Huaiping Yuan, 2016. "Do Women give up Competing more easily? Evidence from the Lab and the Dutch Math Olympiad," Tinbergen Institute Discussion Papers 16-096/I, Tinbergen Institute.
- Narita, Yusuke & Yata, Kohei, 2022. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion Paper Series 730, Institute of Economic Research, Hitotsubashi University.
- Harouna Sedgo, 2024. "Corruption and leadership in Africa: Evidence from Burkina Faso," EconomiX Working Papers 2024-16, University of Paris Nanterre, EconomiX.
- Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
- de Blasio, Guido & D'Ignazio, Alessio & Letta, Marco, 2022. "Gotham city. Predicting ‘corrupted’ municipalities with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- John J. Donohue & Abhay Aneja & Kyle D. Weber, 2019.
"Right‐to‐Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State‐Level Synthetic Control Analysis,"
Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(2), pages 198-247, June.
- John J. Donohue & Abhay Aneja & Kyle D. Weber, 2017. "Right-to-Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State-Level Synthetic Control Analysis," NBER Working Papers 23510, National Bureau of Economic Research, Inc.
- Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020.
"Cherry Picking with Synthetic Controls,"
Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
- Ferman, Bruno & Pinto, Cristine Campos de Xavier & Possebom, Vítor Augusto, 2016. "Cherry picking with synthetic controls," Textos para discussão 420, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
- Ferman, Bruno & Pinto, Cristine & Possebom, Vitor, 2017. "Cherry Picking with Synthetic Controls," MPRA Paper 78213, University Library of Munich, Germany.
- Candelon, Bertrand & Hasse, Jean-Baptiste, 2023.
"Testing for causality between climate policies and carbon emissions reduction,"
Finance Research Letters, Elsevier, vol. 55(PA).
- Candelon, Bertrand & Hasse, Jean-Baptiste, 2022. "Testing for Causality between Climate Policies and Carbon Emissions Reduction," LIDAM Discussion Papers LFIN 2022005, Université catholique de Louvain, Louvain Finance (LFIN).
- Bertrand Candelon & Jean-Baptiste Hasse, 2023. "Testing for causality between climate policies and carbon emissions reduction," Post-Print hal-04104020, HAL.
- Candelon, Bertrand & Hasse, Jean-Baptiste, 2023. "Testing for Causality between Climate Policies and Carbon Emissions Reduction," LIDAM Reprints LFIN 2023007, Université catholique de Louvain, Louvain Finance (LFIN).
- Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
- Dueñas, Marco & Ortiz, Víctor & Riccaboni, Massimo & Serti, Francesco, 2021. "Assessing the Impact of COVID-19 on Trade: a Machine Learning Counterfactual Analysis," Working papers 79, Red Investigadores de Economía.
- Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2024.
"Assessing Sensitivity to Unconfoundedness: Estimation and Inference,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 1-13, January.
- Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2020. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Papers 2012.15716, arXiv.org.
- Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2021. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Working Papers gueconwpa~21-21-08, Georgetown University, Department of Economics.
- Yusuke Narita & Kohei Yata, 2021.
"Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules,"
Working Papers
2021-022, Human Capital and Economic Opportunity Working Group.
- Yusuke Narita & Kohei Yata, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Cowles Foundation Discussion Papers 2283, Cowles Foundation for Research in Economics, Yale University.
- Yusuke Narita & Kohei Yata, 2021. "Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Papers 2104.12909, arXiv.org, revised Dec 2023.
- NARITA Yusuke & YATA Kohei, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion papers 21057, Research Institute of Economy, Trade and Industry (RIETI).
- Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
- Rohan Best & Paul J. Burke, 2020.
"Energy mix persistence and the effect of carbon pricing,"
Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 555-574, July.
- Best, Rohan & Burke, Paul J., 2020. "Energy mix persistence and the effect of carbon pricing," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
- Rohan Best & Paul J Burke, 2020. "Energy mix persistence and the effect of carbon pricing," CCEP Working Papers 2001, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
- Md Saiful Islam & Md Sarowar Morshed & Gary J Young & Md Noor-E-Alam, 2019. "Robust policy evaluation from large-scale observational studies," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-19, October.
- Merz, Joachim, 2022. "Are Retirees More Satisfied? Anticipation and Adaptation Effects: A Causal Panel Analysis of German Statutory Insured and Civil Service Pensioners," IZA Discussion Papers 15140, Institute of Labor Economics (IZA).
- Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
- Xiao, Lu & Xu, Xiaolin & Xue, Weili, 2024. "Blockchain mania without bitcoins: Evidence from the Chinese stock market," Research in International Business and Finance, Elsevier, vol. 67(PB).
- Guido de Blasio & Alessio D'Ignazio & Marco Letta, 2020. "Predicting Corruption Crimes with Machine Learning. A Study for the Italian Municipalities," Working Papers 16/20, Sapienza University of Rome, DISS.
- Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
- Federica Licari & Alessandra Mattei, 2020. "Assessing causal effects of extra compulsory learning on college students’ academic performances," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1595-1614, October.
- Rösner, Anja & Haucap, Justus & Heimeshoff, Ulrich, 2020.
"The impact of consumer protection in the digital age: Evidence from the European Union,"
International Journal of Industrial Organization, Elsevier, vol. 73(C).
- Rösner, Anja & Haucap, Justus & Heimeshoff, Ulrich, 2020. "The impact of consumer protection in the digital age: Evidence from the European Union," DICE Discussion Papers 330, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Anja Rösner & Justus Haucap & Ulrich Heimeshoff, 2020. "The Impact of Consumer Protection in the Digital Age: Evidence from the European Union," CESifo Working Paper Series 8081, CESifo.
- Martin Becker & Stefan Klößner & Gregor Pfeifer, 2018.
"Cross-Validating Synthetic Controls,"
Economics Bulletin, AccessEcon, vol. 38(1), pages 603-609.
- Becker, Martin & Klößner, Stefan & Pfeifer, Gregor, 2017. "Cross-Validating Synthetic Controls," MPRA Paper 83679, University Library of Munich, Germany.
- Michael C Knaus, 2022.
"Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
- Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
- Juliano Assunção & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," NBER Working Papers 25636, National Bureau of Economic Research, Inc.
- Ferris, Ann E. & Frank, Eyal G., 2021. "Labor market impacts of land protection: The Northern Spotted Owl," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
- Francesca Caselli & Matilde Faralli & Paolo Manasse & Ugo Panizza, 2021.
"On the Benefits of Repaying,"
IHEID Working Papers
18-2021, Economics Section, The Graduate Institute of International Studies.
- Francesca Caselli & Matilde Faralli & Paolo Manasse & Ugo Panizza, 2021. "On the Benefits of Repaying," IMF Working Papers 2021/233, International Monetary Fund.
- Francesca Caselli & Matilde Faralli & Paolo Manasse & Ugo Panizza, 2021. "On the Benefits of Repaying," Working Papers wp1163, Dipartimento Scienze Economiche, Universita' di Bologna.
- Panizza, Ugo & Caselli, Francesca & Faralli, Matilde & Manasse, Paolo, 2021. "On the Benefits of Repaying," CEPR Discussion Papers 16539, C.E.P.R. Discussion Papers.
- Joshua B. Gilbert & Zachary Himmelsbach & James Soland & Mridul Joshi & Benjamin W. Domingue, 2024. "Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory," Papers 2405.00161, arXiv.org, revised Aug 2024.
- Robert Kraemer & Jonne Lehtimäki, 2024. "Government debt, European Institutions and fiscal rules: a synthetic control approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(4), pages 1112-1157, August.
- Marisa Hidalgo-Hidalgo & Dunia López-Pintado, 2023. "The uneven effects of peers on collaborative and individual tasks," Working Papers 23.07, Universidad Pablo de Olavide, Department of Economics.
- Paul Minard, 2020. "Institutions and China's comparative development," Papers 2001.02804, arXiv.org.
- Delprato, Marcos & Frola, Alessia & Antequera, Germán, 2022. "Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach," International Journal of Educational Development, Elsevier, vol. 93(C).
- Arno Parolini & Wei Wu Tan & Aron Shlonsky, 2019. "Decision-based models of the implementation of interventions in systems of healthcare: Implementation outcomes and intervention effectiveness in complex service environments," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-17, October.
- Mazzocchi, Mario & Capacci, Sara & Biondi, Beatrice, 2022. "Causal inference on the impact of nutrition policies using observational data," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(1), April.
- Nauro Campos & Fabrizio Coricelli & Luigi Moretti,, 2020.
"Choosing Institutional over Economic Integration: Are There Growth Effects?,"
Working Papers
hal-03028143, HAL.
- Coricelli, Fabrizio & Campos, Nauro & Moretti, Luigi, 2020. "Choosing Institutional over Economic Integration: Are There Growth Effects?," CEPR Discussion Papers 15078, C.E.P.R. Discussion Papers.
- Nauro Campos & Fabrizio Coricelli & Luigi Moretti,, 2020. "Choosing Institutional over Economic Integration: Are There Growth Effects?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03028143, HAL.
- Spermann, Alexander, 2022. "Aktuelle Mikrosimulationsstudien zur Einführung eines partiellen bedingungslosen Grundeinkommens in Deutschland: Eine kritische Analyse," FRIBIS Discussion Paper Series 01-2022, University of Freiburg, Freiburg Institute for Basic Income Studies (FRIBIS).
- Stefan Pichler & Nicolas R. Ziebarth, 2020.
"Labor Market Effects of U.S. Sick Pay Mandates,"
Journal of Human Resources, University of Wisconsin Press, vol. 55(2), pages 611-659.
- Pichler, Stefan & Ziebarth, Nicolas R., 2016. "Labor Market Effects of US Sick Pay Mandates," IZA Discussion Papers 9867, Institute of Labor Economics (IZA).
- Stefan Pichler & Nicolas Ziebarth, 2018. "Labor Market Effects of U.S. Sick Pay Mandates," Upjohn Working Papers 18-293, W.E. Upjohn Institute for Employment Research.
- 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.
- Tianzi Bao & Yi Ding & Ram Gopal & Mareike Möhlmann, 2024. "Throwing Good Money After Bad: Risk Mitigation Strategies in the P2P Lending Platforms," Information Systems Frontiers, Springer, vol. 26(4), pages 1453-1473, August.
- Anthony Niblett, 2018. "Regulatory Reform in Ontario: Machine Learning and Regulation," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 507, March.
- Campos, Nauro F. & Coricelli, Fabrizio & Moretti, Luigi, 2019.
"Institutional integration and economic growth in Europe,"
Journal of Monetary Economics, Elsevier, vol. 103(C), pages 88-104.
- Nauro Campos & Fabrizio Coricelli & Luigi Moretti, 2019. "Institutional Integration and Economic Growth in Europe," PSE-Ecole d'économie de Paris (Postprint) hal-01881789, HAL.
- Nauro Campos & Fabrizio Coricelli & Luigi Moretti, 2019. "Institutional Integration and Economic Growth in Europe," Post-Print hal-01881789, HAL.
- Nauro Campos & Fabrizio Coricelli & Luigi Moretti, 2019. "Institutional Integration and Economic Growth in Europe," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01881789, HAL.
- Edoardo Masset, 2022.
"Conflict and Child Mortality in Mali: A Synthetic Control Analysis,"
Population and Development Review, The Population Council, Inc., vol. 48(4), pages 1097-1123, December.
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"Can Reform Waves Turn the Tide? Some Case Studies using the Synthetic Control Method,"
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"Counterfactual inference for consumer choice across many product categories,"
Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 369-407, December.
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