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Report NEP-BIG-2018-09-24
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:
- Eitan Sapiro-Gheiler, 2018, ""Read My Lips": Using Automatic Text Analysis to Classify Politicians by Party and Ideology," Papers, arXiv.org, number 1809.00741, Sep.
- Ikudo, Akina & Lane, Julia & Staudt, Joseph & Weinberg, Bruce A., 2018, "Occupational Classifications: A Machine Learning Approach," IZA Discussion Papers, Institute of Labor Economics (IZA), number 11738, Aug.
- Naudé, Wim & Dimitri, Nicola, 2018, "The Race for an Artificial General Intelligence: Implications for Public Policy," IZA Discussion Papers, Institute of Labor Economics (IZA), number 11737, Aug.
- Oliver Kirchkamp & Christina Strobel, 2018, "Sharing Responsibility with a Machine," Jena Economics Research Papers, Friedrich-Schiller-University Jena, number 2018-014, Sep.
- Everett Grant, 2018, "The Double-Edged Sword of Global Integration: Robustness, Fragility \& Contagion in the International Firm Network," 2018 Meeting Papers, Society for Economic Dynamics, number 506.
- Boxell, Levi, 2018, "Slanted images: Measuring nonverbal media bias," MPRA Paper, University Library of Munich, Germany, number 89047, Sep.
- Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2018, "Measuring Bias in Consumer Lending," NBER Working Papers, National Bureau of Economic Research, Inc, number 24953, Aug.
- Dario Buono & George Kapetanios & Massimiliano Marcellino & Gianluigi Mazzi & Fotis Papailias, 2018, "Big Data Econometrics: Now Casting and Early Estimates," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1882.
- Francis X. Diebold & Minchul Shin, 2018, "Machine Learning for Regularized Survey Forecast Combination: Partially-Egalitarian Lasso and its Derivatives," NBER Working Papers, National Bureau of Economic Research, Inc, number 24967, Aug.
- Twomey, Paul, 2018, "Building on the Hamburg Statement and the G20 Roadmap for Digitalization: Toward a G20 framework for artificial intelligence in the workplace," Economics Discussion Papers, Kiel Institute for the World Economy (IfW Kiel), number 2018-63.
- Mallory, Mindy & Kuethe, Todd & Hubbs, Todd, , "Can Machine Learning Techniques Predict Non-performance of Farm Non-Real Estate Loans in the Ag Finance Databook," SCC-76 Meeting, 2018, April 5-7, Kansas City, Missouri, SCC-76: Economics and Management of Risk in Agriculture and Natural Resources, number 276141, DOI: 10.22004/ag.econ.276141.
- Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018, "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers, arXiv.org, number 1809.05224, Sep, revised Oct 2022.
- Asgari, Mahdi & Nemati, Mehdi & Zheng, Yuqing, , "Nowcasting Food Stock Movement using Food Safety Related Web Search Queries," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida, Southern Agricultural Economics Association, number 266323, DOI: 10.22004/ag.econ.266323.
- Ying-Hui Chiang, 2018, "Affordable or Unaffordable? Social Housing Rent in Taipei," ERES, European Real Estate Society (ERES), number eres2018_246, Jan.
- Farah Zawaideh & Raed Sahawneh, 2018, "Improve Naïve Bayesian Classifier by Using Genetic Algorithm for Arabic Document," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 6409186, Jun.
- Mills, Brian & Brorsen, Wade & Tostão, Emílio, , "Wheat Nitrogen Response Conditional on Past Yield and Weather: A Step in Making Use of Big Data," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258269, DOI: 10.22004/ag.econ.258269.
- Somsri Banditvilai & Siriluck Anansatitzin, 2018, "Comparative Study of Three Time Series Methods in Forecasting Dengue Hemorrhagic Fever Incidence in Thailand," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 6409199, Jun.
- Bergemann, Dirk & Bonatti, Alessandro, 2018, "Markets for Information: An Introduction," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13148, Aug.