Report NEP-ECM-2019-04-22

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.

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Other reports in NEP-ECM

The following items were announced in this report:

• Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
• Miguel A. Delgado & Andr'es Garc'ia-Suaza & Pedro H. C. Sant'Anna, 2019. "Distribution Regression in Duration Analysis: an Application to Unemployment Spells," Papers 1904.06185, arXiv.org, revised Nov 2021.
• Schlicht, Ekkehart, 2019. "VC - A method for estimating time-varying coefficients in linear models," Economics Discussion Papers 2019-22, Kiel Institute for the World Economy (IfW Kiel).
• Ferrier, Gary D. & Johnson, Andrew L. & Layer, Kevin & Sickles, Robin C., 2018. "Direction Selection in Stochastic Directional Distance Functions," Working Papers 18-010, Rice University, Department of Economics.
• Prateek Bansal & Rico Krueger & Michel Bierlaire & Ricardo A. Daziano & Taha H. Rashidi, 2019. "P\'olygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models," Papers 1904.07688, arXiv.org.
• Liu, Cheng & Sun, Yixiao, 2019. "A Simple and Trustworthy Asymptotic t Test in Difference-in-Differences Regressions," University of California at San Diego, Economics Working Paper Series qt0ck2109g, Department of Economics, UC San Diego.
• Alexander Chudik & Georgios Georgiadis, 2019. "Estimation of Impulse Response Functions When Shocks are Observed at a Higher Frequency than Outcome Variables," Globalization Institute Working Papers 356, Federal Reserve Bank of Dallas.
• Fryzlewicz, Piotr, 2018. "Likelihood ratio Haar variance stabilization and normalization for Poisson and other non-Gaussian noise removal," LSE Research Online Documents on Economics 82942, London School of Economics and Political Science, LSE Library.
• Alexis Derumigny & Lucas Girard & Yannick Guyonvarch, 2019. "On the construction of confidence intervals for ratios of expectations," Papers 1904.07111, arXiv.org.
• Subodh Dubey & Prateek Bansal & Ricardo A. Daziano & Erick Guerra, 2019. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Papers 1904.08332, arXiv.org, revised Jan 2020.
• Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman, 2019. "Bayesian Risk Forecasting for Long Horizons," Tinbergen Institute Discussion Papers 19-018/III, Tinbergen Institute.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzollo & Herman K. van Dijk, 2019. "Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 19-025/III, Tinbergen Institute.
• Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
• Guo, Gangzheng & Wang, Shaoping & Sun, Yixiao, 2018. "Testing for Moderate Explosiveness in the Presence of Drift," University of California at San Diego, Economics Working Paper Series qt2k26h10n, Department of Economics, UC San Diego.
• Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053, Institute of Social and Economic Research, Osaka University.
• Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood Evaluation of Models with Occasionally Binding Constraints," Finance and Economics Discussion Series 2019-028, Board of Governors of the Federal Reserve System (U.S.).
• Karthik Rajkumar, 2019. "Ridge regularization for Mean Squared Error Reduction in Regression with Weak Instruments," Papers 1904.08580, arXiv.org.
• Ye, Xiaoqing & Sun, Yixiao, 2018. "Heteroscedasticity and Autocorrelation Robust F and t Tests in Stata," University of California at San Diego, Economics Working Paper Series qt0bb8d0s9, Department of Economics, UC San Diego.
• Isaksson, Anders & Shang, Chenjun & Sickles, Robin C., 2018. "Non-structural Analysis of Productivity Growth for the Industrialized Countries: A Jackknife Model Averaging Approach," Working Papers 18-012, Rice University, Department of Economics.
• Mika Meitz & Pentti Saikkonen, 2019. "Subgeometric ergodicity and $\beta$-mixing," Papers 1904.07103, arXiv.org, revised Apr 2019.
• Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
• Sanghyun Hong & W. Robert Reed, 2019. "A Performance Analysis of Some New Meta-Analysis Estimators Designed to Correct Publication Bias," Working Papers in Economics 19/04, University of Canterbury, Department of Economics and Finance.
• Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
• Geneletti, Sara & Baio, Gianluca & O'Keeffe, Aidan & Ricciardi, Federico, 2019. "Bayesian modelling for binary outcomes in the regression discontinuity design," LSE Research Online Documents on Economics 100096, London School of Economics and Political Science, LSE Library.
• Th'eophile Griveau-Billion & Ben Calderhead, 2019. "A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour," Papers 1904.08153, arXiv.org, revised Jan 2020.
• Anshul Verma & Pierpaolo Vivo & Tiziana Di Matteo, 2019. "A memory-based method to select the number of relevant components in Principal Component Analysis," Papers 1904.05931, arXiv.org, revised Oct 2019.