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Report NEP-BIG-2020-03-16
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Christian S. Otchia & Simplice A. Asongu, 2019, "Industrial Growth in Sub-Saharan Africa: Evidence from Machine Learning with Insights from Nightlight Satellite Images," Research Africa Network Working Papers, Research Africa Network (RAN), number 19/046, Jan.
- Galdo,Virgilio & Li,Yue-000316086 & Rama,Martin G., 2020, "Identifying Urban Areas by Combining Human Judgment and Machine Learning : An Application to India," Policy Research Working Paper Series, The World Bank, number 0160, Feb.
- Fan Fang & Waichung Chung & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & Fan Wu, 2020, "Ascertaining price formation in cryptocurrency markets with DeepLearning," Papers, arXiv.org, number 2003.00803, Feb.
- Christian Garciga & Randal J. Verbrugge, 2020, "A New Tool for Robust Estimation and Identification of Unusual Data Points," Working Papers, Federal Reserve Bank of Cleveland, number 20-08, Mar, DOI: 10.26509/frbc-wp-202008.
- Achref Bachouch & Côme Huré & Nicolas Langrené & Huyen Pham, 2020, "Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications," Post-Print, HAL, number hal-01949221.
- Kristoffer Andersson & Cornelis Oosterlee, 2020, "A deep learning approach for computations of exposure profiles for high-dimensional Bermudan options," Papers, arXiv.org, number 2003.01977, Mar, revised Sep 2020.
- Patrick Lehnert & Michael Niederberger & Uschi Backes-Gellner & Eric Bettinger, 2020, "Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space," Economics of Education Working Paper Series, University of Zurich, Department of Business Administration (IBW), number 0165, Mar, revised Sep 2022.
- Anton Gerunov, 2020, "Binary Classification Problems in Economics and 136 Different Ways to Solve Them," Bulgarian Economic Papers, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, number bep-2020-02, Mar, revised Mar 2020.
- Helmut Farbmacher & Martin Huber & Luk'av{s} Laff'ers & Henrika Langen & Martin Spindler, 2020, "Causal mediation analysis with double machine learning," Papers, arXiv.org, number 2002.12710, Feb, revised Feb 2021.
- Engstrom,Ryan & Newhouse,David Locke & Soundararajan,Vidhya, 2019, "Estimating Small Area Population Density Using Survey Data and Satellite Imagery : An Application to Sri Lanka," Policy Research Working Paper Series, The World Bank, number 8776, Mar.
- Philipp F. M. Baumann & Michael Schomaker & Enzo Rossi, 2020, "Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation," Papers, arXiv.org, number 2003.02208, Mar, revised May 2021.
- Knaus, Michael C., 2020, "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2004, Mar.
- Ruan Erasmus & Hylton Hollander, 2020, "A Forward Guidance Indicator For The South African Reserve Bank: Implementing A Text Analysis Algorithm," Working Papers, Stellenbosch University, Department of Economics, number 04/2020.
- Paolo Brunori & Guido Neidhofer, 2020, "The Evolution of Inequality of Opportunity in Germany: A Machine Learning Approach," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 514, Jan.
- Paolo Verme, 2020, "Which Model for Poverty Predictions?," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 521, Feb.
- Foresti,Andrea, 2019, "Estimation of the ex ante Distribution of Returns for a Portfolio of U.S. Treasury Securities via Deep Learning," Policy Research Working Paper Series, The World Bank, number 8790, Mar.
- Nicolas Essis-Breton & Patrice Gaillardetz, 2020, "Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale," Papers, arXiv.org, number 2002.11258, Feb.
- Maximo Camacho & Hunter L. Clark & Xavier X. Sala-i-Martin, 2017, "Is Chinese Growth Overstated?," Liberty Street Economics, Federal Reserve Bank of New York, number 20170419, Apr.
- Michael Pinelis & David Ruppert, 2020, "Machine Learning Portfolio Allocation," Papers, arXiv.org, number 2003.00656, Mar, revised Nov 2021.
- William C. Horrace & Hyunseok Jung & Shane Sanders, 2020, "Network Competition and Team Chemistry in the NBA," Center for Policy Research Working Papers, Center for Policy Research, Maxwell School, Syracuse University, number 226, Mar.
- Hoang,Trung Xuan & Le,Duong Trung & Nguyen,Ha Minh & Vuong,Nguyen Dinh Tuan, 2019, "Labor Market Impacts and Responses : The Economic Consequences of a Marine Environmental Disaster," Policy Research Working Paper Series, The World Bank, number 8827, Apr.
- Boriss Siliverstovs & Daniel Wochner, 2020, "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," Working Papers, Latvijas Banka, number 2020/02, Feb.
- Peng, Cong, 2019, "Does e-commerce reduce traffic congestion? Evidence from Alibaba Single Day shopping event," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 103411, Aug.
- Paul, Alexander & Bleses, Dorthe & Rosholm, Michael, 2020, "Efficient Targeting in Childhood Interventions," IZA Discussion Papers, IZA Network @ LISER, number 12989, Feb.
- Omotosho, Babatunde S. & Tumala, Mohammed M., 2019, "A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria," MPRA Paper, University Library of Munich, Germany, number 98850.