Report NEP-BIG-2022-08-22

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Zarak Jamal Khan, 2021. "Machine Learning: An Introduction for Economists," PIDE Webinar Brief 2021:62, Pakistan Institute of Development Economics.
• Badruddoza, Syed & Fuad, Syed M. & Amin, Modhurima, 2022. "Comparative Effectiveness of Machine Learning Methods for Causal Inference in Agricultural Economics," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322452, Agricultural and Applied Economics Association.
• Emily Aiken & Guadalupe Bedoya & Joshua Blumenstock & Aidan Coville, 2022. "Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan," Papers 2206.11400, arXiv.org.
• Sylvia Klosin & Max Vilgalys, 2022. "Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application," Papers 2207.08789, arXiv.org, revised Sep 2023.
• Jimei Shen & Zhehu Yuan & Yifan Jin, 2022. "AlphaMLDigger: A Novel Machine Learning Solution to Explore Excess Return on Investment," Papers 2206.11072, arXiv.org, revised Dec 2022.
• Jerinsh Jeyapaulraj & Dhruv Desai & Peter Chu & Dhagash Mehta & Stefano Pasquali & Philip Sommer, 2022. "Supervised similarity learning for corporate bonds using Random Forest proximities," Papers 2207.04368, arXiv.org, revised Oct 2022.
• Goller, Daniel & Diem, Andrea & Wolter, Stefan C., 2022. "Sitting Next to a Dropout: Academic Success of Students with More Educated Peers," IZA Discussion Papers 15378, Institute of Labor Economics (IZA).
• Emanuel Kohlscheen & Richhild Moessner, 2022. "Changing Electricity Markets: Quantifying the Price Effects of Greening the Energy Matrix," CESifo Working Paper Series 9807, CESifo.
• Gafarov, Bulat & Gong, Tengda & Hilscher, Jens, 2022. "Cyclical and Trend Variation in Demand Elasticity: Big data evidence from US grocery stores," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322430, Agricultural and Applied Economics Association.
• Stich, Christoph & Tranos, Emmanouil & Nathan, Max, 2023. "Modeling clusters from the ground up: a web data approach," LSE Research Online Documents on Economics 115565, London School of Economics and Political Science, LSE Library.
• Federico Mecchia & Marcellino Gaudenzi, 2022. "The dynamics of the prices of the companies of the STOXX Europe 600 Index through the logit model and neural network," Papers 2206.09899, arXiv.org.
• Marc Fleurbaey & Domenico Moramarco & Vito Peragine, "undated". "Measuring inequality and welfare when some inequalities matter more than others," Working Papers ecineq-, ECINEQ, Society for the Study of Economic Inequality.
• Mathias Lindholm & Ronald Richman & Andreas Tsanakas & Mario V. Wuthrich, 2022. "A multi-task network approach for calculating discrimination-free insurance prices," Papers 2207.02799, arXiv.org.
• Paolo Brunori & Pedro Salas-Rojo & Paolo Verme, 2022. "Estimating Inequality with Missing Incomes," Working Papers 616, ECINEQ, Society for the Study of Economic Inequality.
• Man-, ZuyiKeunZuyi Wang & Takagi, Chifumi & Kim, Man-Keun & Chung, Anh, 2022. "Uncover Drivers Influencing Consumers' WTP Using Machine Learning: Case of Organic Coffee in Taiwan," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322150, Agricultural and Applied Economics Association.
• Jungyu Ahn & Sungwoo Park & Jiwoon Kim & Ju-hong Lee, 2022. "Reinforcement Learning Portfolio Manager Framework with Monte Carlo Simulation," Papers 2207.02458, arXiv.org.
• Charl Maree & Christian W. Omlin, 2022. "Balancing Profit, Risk, and Sustainability for Portfolio Management," Papers 2207.02134, arXiv.org.
• Dimitrios Vamvourellis & Mate Attila Toth & Dhruv Desai & Dhagash Mehta & Stefano Pasquali, 2022. "Learning Mutual Fund Categorization using Natural Language Processing," Papers 2207.04959, arXiv.org.
• Carol Corrado & Jonathan Haskel & Massimiliano Iommi & Cecilia Jona-Lasinio, 2022. "The value of data in digital-based business models: Measurement and economic policy implications," OECD Economics Department Working Papers 1723, OECD Publishing.
• Merfeld, Joshua D. & Newhouse, David & Weber, Michael & Lahiri, Partha, 2022. "Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes," IZA Discussion Papers 15390, Institute of Labor Economics (IZA).
• Merlin Stein, 2022. "When are large female-led firms more resilient against shocks? Learnings from Indian enterprises during COVID-19 with diff-in-diff and causal forests," CSAE Working Paper Series 2022-01, Centre for the Study of African Economies, University of Oxford.
• Jonathan Chiu & Thorsten Koeppl, 2022. "PayTech and the D(ata) N(etwork) A(ctivities) of BigTech Platforms," Staff Working Papers 22-35, Bank of Canada.