Report NEP-ECM-2020-06-29

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:

• Fabrizio Iacone & Morten Ørregaard Nielsen & A.M. Robert Taylor, 2020. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," Working Paper 1431, Economics Department, Queen's University.
• Linton, O. & Tang, H., 2020. "Estimation of the Kronecker Covariance Model by Quadratic Form," Cambridge Working Papers in Economics 2050, Faculty of Economics, University of Cambridge.
• Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Papers 2006.09587, arXiv.org, revised Nov 2024.
• Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.
• Jochmans, K., 2020. "Heteroskedasticity-Robust Inference in Linear Regression Models with Many Covariates," Cambridge Working Papers in Economics 2033, Faculty of Economics, University of Cambridge.
• Zhang, Haoran & Chen, Yunxiao & Li, Xiaoou, 2020. "A note on exploratory item factor analysis by singular value decomposition," LSE Research Online Documents on Economics 104166, London School of Economics and Political Science, LSE Library.
• Sobin Joseph & Lekhapriya Dheeraj Kashyap & Shashi Jain, 2020. "Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processes," Papers 2006.02460, arXiv.org.
• Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
• Yuya Sasaki & Yulong Wang, 2020. "Testing Finite Moment Conditions for the Consistency and the Root-N Asymptotic Normality of the GMM and M Estimators," Papers 2006.02541, arXiv.org, revised Sep 2020.
• Joris Pinkse & Karl Schurter, 2020. "Estimates of derivatives of (log) densities and related objects," Papers 2006.01328, arXiv.org.
• Bao-Gen Li & Dian-Yi Ling & Zu-Guo Yu, 2020. "Multifractal temporally weighted detrended partial cross-correlation analysis to quantify intrinsic power-law cross-correlation of two non-stationary time series affected by common external factors," Papers 2006.09154, arXiv.org.
• Nicklas Werge & Olivier Wintenberger, 2020. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Papers 2006.02077, arXiv.org, revised Jan 2021.
• Poncela Blanco, Maria Pilar, 2020. "Factor extraction using Kalman filter and smoothing: this is not just another survey," DES - Working Papers. Statistics and Econometrics. WS 30644, Universidad Carlos III de Madrid. Departamento de Estadística.
• Juan Carlos Escanciano, 2020. "Uniform Rates for Kernel Estimators of Weakly Dependent Data," Papers 2005.09951, arXiv.org.
• Ghattas Badih & Michel Pierre & Boyer Laurent, 2019. "Assessing variable importance in clustering: a new method based on unsupervised binary decision trees," Post-Print hal-02007388, HAL.
• Xu Cheng & Winston Wei Dou & Zhipeng Liao, 2020. "Macro-Finance Decoupling: Robust Evaluations of Macro Asset Pricing Models," PIER Working Paper Archive 20-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Kaeding, Matthias, 2020. "Efficient Bayesian nonparametric hazard regression," Ruhr Economic Papers 850, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Martin Huber, 2020. "On the plausibility of the latent ignorability assumption," Papers 2006.01703, arXiv.org, revised Jun 2020.
• Marin Drlje, 2020. "Identification of School Admission Effects Using Propensity Scores Based on a Matching Market Structure," CERGE-EI Working Papers wp658, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Marcin Chlebus & Maciej Stefan Świtała, 2020. "So close and so far. Finding similar tendencies in econometrics and machine learning papers. Topic models comparison," Working Papers 2020-16, Faculty of Economic Sciences, University of Warsaw.
• Paul Hunermund & Beyers Louw, 2020. "On the Nuisance of Control Variables in Regression Analysis," Papers 2005.10314, arXiv.org, revised Jan 2024.
• Jochmans, K., 2020. "Testing Random Assignment to Peer Groups," Cambridge Working Papers in Economics 2024, Faculty of Economics, University of Cambridge.
• Henrik Kleven, 2020. "Sufficient Statistics Revisited," NBER Working Papers 27242, National Bureau of Economic Research, Inc.
• Patrick Chang & Etienne Pienaar & Tim Gebbie, 2020. "Detecting discrete processes with the Epps effect," Papers 2005.10568, arXiv.org, revised Dec 2024.