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Report NEP-CMP-2021-03-08
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Khowaja, Kainat & Shcherbatyy, Mykhaylo & Härdle, Wolfgang Karl, 2021, "Surrogate Models for Optimization of Dynamical Systems," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-001.
- Anna Straubinger & Erik T. Verhoef & Henri L.F. de Groot, 2021, "Will urban air mobility fly? The efficiency and distributional impacts of UAM in different urban spatial structures," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-021/VIII, Feb.
- Dhingra, Chesta, 2021, "Assessment of AIR Quality Index for Delhi region: A comparison between odd-even policy 2019 and Lock Down Period," OSF Preprints, Center for Open Science, number 9r2hu, Feb, DOI: 10.31219/osf.io/9r2hu.
- Baptiste Barreau & Laurent Carlier, 2021, "History-Augmented Collaborative Filtering for Financial Recommendations," Papers, arXiv.org, number 2102.13503, Feb.
- Darvay, Zsolt & Rigó, Petra Renáta, 2021, "New predictor-corrector interior-point algorithm for symmetric cone horizontal linear complementarity problems," Corvinus Economics Working Papers (CEWP), Corvinus University of Budapest, number 2021/01, Mar.
- Manu García & J. Ignacio Conde-Ruiz & Luis A. Puch & Juan-José Ganuza, 2021, "Gender Distribution across Topics in Top 5 Economics Journals: A Machine Learning Approach," Working Papers, Barcelona School of Economics, number 1241, Mar.
- Fryzlewicz, Piotr, 2020, "Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 103430, Dec.
- Kukacka, Jiri & Sacht, Stephen, 2021, "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers, Christian-Albrechts-University of Kiel, Department of Economics, number 2021-01.
- Auer, Benjamin R. & Rottmann, Horst, 2020, "Monte-Carlo-Evaluation von Instrumentenvariablenschätzern," Weidener Diskussionspapiere, University of Applied Sciences Amberg-Weiden (OTH), number 79.
- Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," CIRANO Working Papers, CIRANO, number 2021s-09, Mar.
- Bonomi Bezzo, Franco, 2021, "Universal Independence Income. A EUROMOD Utopian Simulation in the UK," EUROMOD Working Papers, EUROMOD at the Institute for Social and Economic Research, number EM3/21, Feb.
- Bonakdar, Said Benjamin & Roos, Michael W. M., 2021, "Dissimilarity effects on house prices: What is the value of similar neighbours?," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 894, DOI: 10.4419/96973034.
- Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021, "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers, University of Pretoria, Department of Economics, number 202118, Feb.
- Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner P. Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Yihao Lin, 2021, "Machine Learning and Oil Price Point and Density Forecasting," Working Papers Series, Central Bank of Brazil, Research Department, number 544, Feb.
- Michael Danquah & Abdul Malik Iddrisu & Ernest Owusu Boakye & Solomon Owusu, 2021, "Do gender wage differences within households influence women's empowerment and welfare?: Evidence from Ghana," WIDER Working Paper Series, World Institute for Development Economic Research (UNU-WIDER), number wp-2021-40.
- Massimo Ferrari & Frederik Kurcz & Maria Sole Pagliari, 2021, "Do Words Hurt More Than Actions? The Impact of Trade Tensions on Financial Markets," Working papers, Banque de France, number 802.
- Strittmatter, Anthony & Wunsch, Conny, 2021, "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," IZA Discussion Papers, Institute of Labor Economics (IZA), number 14128, Feb.
- Gründler, Klaus & Krieger, Tommy, 2021, "Using machine learning for measuring democracy: An update," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 21-012.
- Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2021, "Machine Learning and Credit Risk: Empirical Evidence from SMEs," DEM Working Papers Series, University of Pavia, Department of Economics and Management, number 201, Feb.
- Alexis Marchal, 2021, "Risk & Returns around Fomc Press Conferences: A Novel Perspective from Computer Vision," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-18, Mar.
- Jacob, Daniel, 2020, "Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2020-014.