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 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:

• Andreas Joseph, 2019. "From interpretability to inference: an estimation framework for universal approximators," Papers 1903.04209, arXiv.org, revised Dec 2024.
• Joseph, Andreas, 2019. "Parametric inference with universal function approximators," Bank of England working papers 784, Bank of England, revised 22 Jul 2020.
• Sandra Achten & Christian Lessmann, 2019. "Spatial inequality, geography and economic activity," CESifo Working Paper Series 7547, CESifo.
• Alexander James & Yaser S. Abu-Mostafa & Xiao Qiao, 2019. "Nowcasting Recessions using the SVM Machine Learning Algorithm," Papers 1903.03202, arXiv.org, 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 halshs-01923259, HAL.
• Joan Gonzalvez & Edmond Lezmi & Thierry Roncalli & Jiali Xu, 2019. "Financial Applications of Gaussian Processes and Bayesian Optimization," Papers 1903.04841, arXiv.org.
• Michael Stiefel & Rémi Vivès, 2019. "“Whatever it Takes” to Change Belief: Evidence from Twitter," AMSE Working Papers 1907, Aix-Marseille School of Economics, France, revised Mar 2019.
• Michael Stiefel & Rémi Vivès, 2019. "'Whatever it Takes' to Change Belief: Evidence from Twitter," Working Papers halshs-02053429, HAL.
• Youngjoon Lee & Soohyon Kim & Ki Young Park, 2019. "Measuring Monetary Policy Surprises Using Text Mining: The Case of Korea," Working Papers 2019-11, Economic Research Institute, Bank of Korea.
• 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 19-08, Center for Economic Studies, U.S. Census Bureau.
• Seohyun Lee & Rickard Nyman, 2019. "Tracking Uncertainty through the Relative Sentiment Shift Series," Working Papers 2019-12, Economic Research Institute, Bank of Korea.
• Bernardi, Mauro & Costola, Michele, 2019. "High-dimensional sparse financial networks through a regularised regression model," SAFE Working Paper Series 244, Leibniz Institute for Financial Research SAFE.
• Jha, Saakshi & Sahu, Sohini & Chattopadhyay, Siddhartha, 2019. "Epidemiology of Inflation Expectations and Internet Search- An Analysis for India," MPRA Paper 92666, University Library of Munich, Germany.
• Reade, J. James, 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 28198, Universidad Carlos III de Madrid. Departamento de Estadística.
• Robert Wolfe, 2018. "Learning about digital trade: Privacy and e-commerce in CETA and TPP," RSCAS Working Papers 2018/27, European University Institute.