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Report NEP-BIG-2019-03-18
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:
- Andreas Joseph, 2019, "From interpretability to inference: an estimation framework for universal approximators," Papers, arXiv.org, number 1903.04209, Mar, revised Dec 2024.
- Andreas Joseph, 2019, "Parametric inference with universal function approximators," Bank of England working papers, Bank of England, number 784, Mar.
- Sandra Achten & Christian Lessmann, 2019, "Spatial inequality, geography and economic activity," CESifo Working Paper Series, CESifo, number 7547.
- Alexander James & Yaser S. Abu-Mostafa & Xiao Qiao, 2019, "Nowcasting Recessions using the SVM Machine Learning Algorithm," Papers, arXiv.org, number 1903.03202, Feb, revised Jun 2019.
- Elisabetta Raguseo & Claudio Vitari, 2017, "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," Post-Print, HAL, number halshs-01923259, Nov, DOI: 10.1080/00207543.2018.1427900.
- Joan Gonzalvez & Edmond Lezmi & Thierry Roncalli & Jiali Xu, 2019, "Financial Applications of Gaussian Processes and Bayesian Optimization," Papers, arXiv.org, number 1903.04841, Mar.
- Michael Stiefel & Rémi Vivès, 2019, "“Whatever it Takes” to Change Belief: Evidence from Twitter," AMSE Working Papers, Aix-Marseille School of Economics, France, number 1907, Feb, revised Mar 2019.
- Michael Stiefel & Rémi Vivès, 2019, "'Whatever it Takes' to Change Belief: Evidence from Twitter," Working Papers, HAL, number halshs-02053429, Mar.
- Youngjoon Lee & Soohyon Kim & Ki Young Park, 2019, "Measuring Monetary Policy Surprises Using Text Mining: The Case of Korea," Working Papers, Economic Research Institute, Bank of Korea, number 2019-11, Mar.
- John M. Abowd & Joelle Abramowitz & Margaret C. Levenstein & Kristin McCue & Dhiren Patki & Trivellore Raghunathan & Ann M. Rodgers & Matthew D. Shapiro & Nada Wasi, 2019, "Optimal Probabilistic Record Linkage: Best Practice for Linking Employers in Survey and Administrative Data," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 19-08, Mar.
- Seohyun Lee & Rickard Nyman, 2019, "Tracking Uncertainty through the Relative Sentiment Shift Series," Working Papers, Economic Research Institute, Bank of Korea, number 2019-12, Mar.
- Bernardi, Mauro & Costola, Michele, 2019, "High-dimensional sparse financial networks through a regularised regression model," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 244, DOI: 10.2139/ssrn.3342240.
- Jha, Saakshi & Sahu, Sohini & Chattopadhyay, Siddhartha, 2019, "Epidemiology of Inflation Expectations and Internet Search- An Analysis for India," MPRA Paper, University Library of Munich, Germany, number 92666, Mar.
- Cabras, Stefano & Reade, J. James & Tena Horrillo, Juan de Dios, 2019, "Social Pressure or Rational Reactions to Incentives? A Historical Analysis of Reasons for Referee Bias in the Spanish Football," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de EstadÃstica, number 28198, Mar.
- Robert Wolfe, 2018, "Learning about digital trade: Privacy and e-commerce in CETA and TPP," RSCAS Working Papers, European University Institute, number 2018/27, May.