Report NEP-BIG-2020-01-27

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:

• Obschonka, Martin & Lee, Neil & Rodríguez-Pose, Andrés & Eichstaedt, johannes Christopher & Ebert, Tobias, 2018, "Big Data, artificial intelligence and the geography of entrepreneurship in the United States," OSF Preprints, Center for Open Science, number c62tn, May, DOI: 10.31219/osf.io/c62tn.
• Timothy Neal & Michael Keane, 2020, "Comparing Deep Neural Network and Econometric Approaches to Predicting the Impact of Climate Change on Agricultural Yield," Discussion Papers, School of Economics, The University of New South Wales, number 2020-02, Jan.
• Osipov, Vasiliy & Zhukova, Nataly & Miloserdov, Dmitriy, 2019, "Neural Network Associative Forecasting of Demand for Goods," MPRA Paper, University Library of Munich, Germany, number 97314, Sep, revised 23 Sep 2019.
• Felipe Leal & Carlos Molina & Eduardo Zilberman, 2020, "Proyección de la Inflación en Chile con Métodos de Machine Learning," Working Papers Central Bank of Chile, Central Bank of Chile, number 860, Jan.
• Melvin Wong & Bilal Farooq, 2019, "ResLogit: A residual neural network logit model for data-driven choice modelling," Papers, arXiv.org, number 1912.10058, Dec, revised Feb 2021.
• Julia M. Puaschunder & Martin Gelter, 2019, "On the Political Economy of the European Union," Proceedings of the 15th International RAIS Conference, November 6-7, 2019, Research Association for Interdisciplinary Studies, number 001JP, Nov.
• Xuan-Hong Dang & Syed Yousaf Shah & Petros Zerfos, 2019, ""The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering," Papers, arXiv.org, number 1912.10858, Dec.
• Ntale, Moses Kizito Njagi & Mathenge, Fr. Paul & Gikonyo, Barnabas, 2019, "Social Media As A Source Of Predictive Analytics For Customer Satisfaction: An Empirical Investigation Of Standard Gauge Railways Users In Kenya," AfricArxiv, Center for Open Science, number cxety, Sep, DOI: 10.31219/osf.io/cxety.
• Xinyi Li & Yinchuan Li & Hongyang Yang & Liuqing Yang & Xiao-Yang Liu, 2019, "DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News," Papers, arXiv.org, number 1912.10806, Dec.
• Kindel, Alexander & Bansal, Vineet & Catena, Kristin & Hartshorne, Thomas & Jaeger, Kate & Koffman, Dawn & McLanahan, Sara & Phillips, Maya & Rouhani, Shiva & Vinh, Ryan, 2018, "Improving metadata infrastructure for complex surveys: Insights from the Fragile Families Challenge," SocArXiv, Center for Open Science, number u8spj, Sep, DOI: 10.31219/osf.io/u8spj.
• Hansen, Stephen & McMahon, Michael & Tong, Matthew, 2020, "The long-run information effect of central bank communication," Working Paper Series, European Central Bank, number 2363, Jan.
• Hector Lopez-Ruiz & Jorge Blazquez & Fakhri Hasanov, 2019, "Estimating Saudi Arabia’s Regional GDP Using Satellite Nighttime Light Images," Discussion Papers, King Abdullah Petroleum Studies and Research Center, number ks--2019-dp80, Dec, DOI: 10.30573/KS--2019-DP80.
• islah, khikmatul, 2018, "Peluang Dan Tantangan Pemanfaatan Teknologi Big Data Untuk Mengintegrasikan Pelayanan Publik Pemerintah," OSF Preprints, Center for Open Science, number uf63v, Jul, DOI: 10.31219/osf.io/uf63v.
• Boeing, Geoff, 2018, "Clustering to Reduce Spatial Data Set Size," SocArXiv, Center for Open Science, number nzhdc, Mar, DOI: 10.31219/osf.io/nzhdc.
• Muratova, Anna & Islam, Robiul & Mitrofanova, Ekaterina S. & Ignatov, Dmitry I., 2019, "Searching for Interpretable Demographic Patterns," MPRA Paper, University Library of Munich, Germany, number 97305, Sep, revised 23 Sep 2019.
• Paolo Brunori & Guido Neidhoefer, 2020, "The Evolution of Inequality of Opportunity in Germany: A Machine Learning Approach," SERIES, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", number 01-2020, Jan, revised Jan 2020.
• Dali T. Laxton, 2019, "Innovations in the Wind Energy Sector," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp647, Dec.
• David Rushing Dewhurst & Yi Li & Alexander Bogdan & Jasmine Geng, 2019, "Evolving ab initio trading strategies in heterogeneous environments," Papers, arXiv.org, number 1912.09524, Dec.
• Eric Strobl, 2019, "The Impact of Typhoons on Economic Activity in the Philippines: Evidence from Nightlight Intensity," ADB Economics Working Paper Series, Asian Development Bank, number 589, Jul.
• Li, W. & Fok, D. & Franses, Ph.H.B.F., 2019, "Forecasting own brand sales: Does incorporating competition help?," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2019-35, Oct.
• Boeing, Geoff, 2018, "Planarity and Street Network Representation in Urban Form Analysis," SocArXiv, Center for Open Science, number hma8y, Aug, DOI: 10.31219/osf.io/hma8y.
• Boeing, Geoff, 2018, "Urban Spatial Order: Street Network Orientation, Configuration, and Entropy," SocArXiv, Center for Open Science, number qj3p5, Aug, DOI: 10.31219/osf.io/qj3p5.
• Boeing, Geoff, 2018, "A Multi-Scale Analysis of 27,000 Urban Street Networks: Every US City, Town, Urbanized Area, and Zillow Neighborhood," SocArXiv, Center for Open Science, number hmhts, Aug, DOI: 10.31219/osf.io/hmhts.

Report NEP-BIG-2020-01-27

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: