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Records found: 25

DP15308	Urban economics in a historical perspective: Recovering data with machine learning Author(s): Pierre-Philippe Combes, Laurent Gobillon and Yanos Zylberberg Published: September 2020
DP15272	Reassessing the Resource Curse using Causal Machine Learning Author(s): Roland Hodler, Michael Lechner and Paul A. Raschky Published: September 2020
DP15003	Belief Distortions and Macroeconomic Fluctuations Author(s): Francesco Bianchi, Sydney C. Ludvigson and Sai Ma Published: July 2020
DP14676	Value Creation in Private Equity Author(s): Markus Biesinger, Cagatay Bircan and Alexander P. Ljungqvist Published: April 2020
DP14573	Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1 Author(s): Tarek Alexander Hassan, Stephan Hollander, Markus Schwedeler, Ahmed Tahoun and Laurence van Lent Published: April 2020
DP14525	Artificial Intelligence in Asset Management Author(s): Söhnke M Bartram, Jürgen Branke and Mehrshad Motahari Published: March 2020
DP14450	Building(s and) cities: Delineating urban areas with a machine learning algorithm Author(s): Daniel Arribas-Bel, Miquel-Angel Garcia-Lopez and Elisabet Viladecans-Marsal Published: February 2020
DP14320	The Demand for AI Skills in the Labor Market Author(s): Liudmila Alekseeva, José Azar, Mireia Gine, Sampsa Samila and Bledi Taska Published: January 2020
DP14270	Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium Author(s): Joost Boolens, Bart Cockx and Michael Lechner Published: January 2020
DP14266	Taming the Factor Zoo: A Test of New Factors Author(s): Gavin Feng, Stefano W Giglio and Dacheng Xiu Published: January 2020
DP14259	How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm Author(s): Leonardo Gambacorta, Yiping Huang, Han Qiu and Jingyi Wang Published: December 2019
DP14253	The Global Impact of Brexit Uncertainty Author(s): Tarek Alexander Hassan, Stephan Hollander, Ahmed Tahoun and Laurence van Lent Published: December 2019
DP14235	Market Efficiency in the Age of Big Data Author(s): Ian Martin and Stefan Nagel Published: December 2019
DP14181	Services Trade Policies and Economic Integration: New Evidence for Developing Countries Author(s): Bernard Hoekman and Ben Shepherd Published: December 2019
DP14025	When the U.S. catches a cold, Canada sneezes: a lower-bound tale told by deep learning Author(s): Vadym Lepetyuk, Lilia Maliar and Serguei Maliar Published: September 2019
DP14024	Will Artificial Intelligence Replace Computational Economists Any Time Soon? Author(s): Lilia Maliar, Serguei Maliar and Pablo Winant Published: September 2019
DP14002	Financial Frictions and the Wealth Distribution Author(s): Jesús Fernández-Villaverde, Samuel Hurtado and Galo Nuño Published: September 2019
DP13829	The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia Author(s): Samuel Bazzi, Robert Blair, Christopher Blattman, Oeindrila Dube, Matthew Gudgeon and Richard Peck Published: June 2019
DP13748	The Hard Problem of Prediction for Conflict Prevention Author(s): Hannes Felix Mueller and Christopher Rauh Published: May 2019
DP13438	The Long-Run Information Effect of Central Bank Communication Author(s): Stephen Hansen, Michael McMahon and Matthew Tong Published: January 2019
DP13430	Modified Causal Forests for Estimating Heterogeneous Causal Effects Author(s): Michael Lechner Published: January 2019
DP13402	Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence Author(s): Michael C. Knaus, Michael Lechner and Anthony Strittmatter Published: December 2018
DP12523	Man vs. Machine in Predicting Successful Entrepreneurs: Evidence from a Business Plan Competition in Nigeria Author(s): David J. McKenzie and Dario Sansone Published: December 2017
DP12448	Predictably Unequal? The Effects of Machine Learning on Credit Markets Author(s): Andreas Fuster, Paul Goldsmith-Pinkham, Tarun Ramadorai and Ansgar Walther Published: November 2017
DP12224	Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach Author(s): Michael C. Knaus, Michael Lechner and Anthony Strittmatter Published: August 2017

Records Found 25