Report NEP-ECM-2019-03-25

This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-ECM

The following items were announced in this report:

• Patrick Marsh, 2019. "Nonparametric conditional density specification testing and quantile estimation; with application to S&P500 returns," Discussion Papers 19/02, University of Nottingham, Granger Centre for Time Series Econometrics.
• Tanaka, Katsuto & Xiao, Weilin & Yu, Jun, 2019. "Maximum Likelihood Estimation for the Fractional Vasicek Model," Economics and Statistics Working Papers 8-2019, Singapore Management University, School of Economics.
• Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Papers 1903.07948, arXiv.org.
• Patrick Marsh, 2019. "The role of information in nonstationary regression," Discussion Papers 19/04, University of Nottingham, Granger Centre for Time Series Econometrics.
• Jun Ma & Vadim Marmer & Artyom Shneyerov, 2019. "Inference for First-Price Auctions with Guerre, Perrigne, and Vuong's Estimator," Papers 1903.06401, arXiv.org.
• James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Working Paper 1413, Economics Department, Queen's University.
• Bachoc, François & Genton, Mark G. & Nordhausen, Klaus & Ruiz-Gazen, Anne & Virta, Joni, 2019. "Spatial Blind Source Separation," TSE Working Papers 19-998, Toulouse School of Economics (TSE).
• Matteo Mogliani & Anna Simoni, 2019. "Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction," Papers 1903.08025, arXiv.org, revised Jun 2020.
• Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
• Diewert, Erwin & Feenstra, Robert, 2019. "Estimating the Benefits of New Products: Some Approximations," Microeconomics.ca working papers erwin_diewert-2019-3, Vancouver School of Economics, revised 13 Mar 2019.
• Qiu, Yue & Xie, Tian & Yu, Jun & Zhou, Qiankun, 2019. "Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks," Economics and Statistics Working Papers 7-2019, Singapore Management University, School of Economics.
• Yao Luo & Ruli Xiao, 2019. "Identification of Auction Models Using Order Statistics," Working Papers tecipa-630, University of Toronto, Department of Economics.
• Patrick Marsh, 2019. "Properties of the power envelope for tests against both stationary and explosive alternatives: the effect of trends," Discussion Papers 19/03, University of Nottingham, Granger Centre for Time Series Econometrics.
• Amanda E. Kowalski, 2019. "Counting Defiers," NBER Working Papers 25671, National Bureau of Economic Research, Inc.
• Leopoldo Catania & Roberto Di Mari & Paolo Santucci de Magistris, 2019. "Dynamic discrete mixtures for high frequency prices," Discussion Papers 19/05, University of Nottingham, Granger Centre for Time Series Econometrics.
• Atsushi Inoue & Barbara Rossi, 2018. "A new approach to measuring economic policy shocks, with an application to conventional and unconventional monetary policy," Economics Working Papers 1638, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2021.
• Barbara Rossi, 2018. "Identifying and estimating the effects of unconventional monetary policy in the data: How to do It and what have we learned?," Economics Working Papers 1641, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2020.
• Zura Kakushadze & Willie Yu, 2019. "Machine Learning Risk Models," Papers 1903.06334, arXiv.org, revised Apr 2019.
• Yiru Wang & Barbara Rossi, 2019. "VAR-based Granger-causality test in the presence of instabilities," Economics Working Papers 1642, Department of Economics and Business, Universitat Pompeu Fabra.
• Mark Fisher & Mark J. Jensen & Paula A. Tkac, 2019. "Bayesian Nonparametric Learning of How Skill Is Distributed across the Mutual Fund Industry," FRB Atlanta Working Paper 2019-3, Federal Reserve Bank of Atlanta.
• John Deke & Mariel Finucane, "undated". "Moving Beyond Statistical Significance: The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations," Mathematica Policy Research Reports d25e5487a50f417586956dac1, Mathematica Policy Research.
• Duo Qin & Sophie van Huellen & Raghda Elshafie & Yimeng Liu & Thanos Moraitis, 2019. "A Principled Approach to Assessing Missing-Wage Induced Selection Bias," Working Papers 216, Department of Economics, SOAS University of London, UK.