Report NEP-ECM-2020-08-31

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:

• Kylie-Anne Richards & William T. M. Dunsmuir & Gareth W. Peters, 2019. "Score Test for Marks in Hawkes Processes," Research Paper Series 405, Quantitative Finance Research Centre, University of Technology, Sydney.
• Francesca Rossi & Peter M. Robinson, 2020. "Higher-Order Least Squares Inference for Spatial Autoregressions," Working Papers 04/2020, University of Verona, Department of Economics.
• Peter C.B. Phillips & Ying Wang, 2020. "When Bias Contributes to Variance: True Limit Theory in Functional Coefficient Cointegrating Regression," Cowles Foundation Discussion Papers 2250, Cowles Foundation for Research in Economics, Yale University.
• Ke Miao & Peter C.B. Phillips & Liangjun Su, 2020. "High-Dimensional VARs with Common Factors," Cowles Foundation Discussion Papers 2252, Cowles Foundation for Research in Economics, Yale University.
• Yang, Bill Huajian & Yang, Jenny & Yang, Haoji, 2020. "Modeling Portfolio Loss by Interval Distributions," MPRA Paper 102219, University Library of Munich, Germany.
• Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
• Mathur, Maya B & VanderWeele, Tyler, 2020. "Meta-regression estimates of the percentage of meaningfully strong population effects," OSF Preprints bmtdq, Center for Open Science.
• Kwok, Simon, 2020. "Nonparametric Inference of Jump Autocorrelation," Working Papers 2020-09, University of Sydney, School of Economics, revised Jan 2021.
• Dzemski, Andreas & Okui, Ryo, 2020. "Convergence rate of estimators of clustered panel models with misclassication," Working Papers in Economics 790, University of Gothenburg, Department of Economics.
• Chen, Yunxiao & Li, Xiaoou & Zhang, Siliang, 2019. "Structured latent factor analysis for large-scale data: identifiability, estimability, and their implications," LSE Research Online Documents on Economics 101122, London School of Economics and Political Science, LSE Library.
• Abhimanyu Gupta & Javier Hidalgo, 2020. "Nonparametric prediction with spatial data," Papers 2008.04269, arXiv.org, revised Nov 2021.
• Jos'e Luis Montiel Olea & Mikkel Plagborg-M{o}ller, 2020. "Local Projection Inference is Simpler and More Robust Than You Think," Papers 2007.13888, arXiv.org, revised Dec 2022.
• Simon Clinet & William T. M. Dunsmuir & Gareth W. Peters & Kylie-Anne Richards, 2019. "Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes," Research Paper Series 404, Quantitative Finance Research Centre, University of Technology, Sydney.
• Tetsuya Kaji & Elena Manresa & Guillaume Pouliot, 2020. "An Adversarial Approach to Structural Estimation," Papers 2007.06169, arXiv.org, revised Oct 2022.
• Glocker, Christian & Kaniovski, Serguei, 2020. "Structural modeling and forecasting using a cluster of dynamic factor models," MPRA Paper 101874, University Library of Munich, Germany.
• Chen, Yunxiao & Zhang, Siliang, 2020. "A latent Gaussian process model for analysing intensive longitudinal data," LSE Research Online Documents on Economics 101121, London School of Economics and Political Science, LSE Library.
• Federico A. Bugni & Jia Li & Qiyuan Li, 2020. "Permutation-based tests for discontinuities in event studies," Papers 2007.09837, arXiv.org, revised Jul 2022.
• Ruijun Bu & Jihyun Kim & Bin Wang, 2020. "Uniform and Lp Convergences of Nonparametric Estimation for Diffusion Models," Working Papers 202021, University of Liverpool, Department of Economics.
• Shuping Shi & Peter C.B. Phillips, 2020. "Diagnosing Housing Fever with an Econometric Thermometer," Cowles Foundation Discussion Papers 2248, Cowles Foundation for Research in Economics, Yale University.
• Ye Chen & Peter C.B. Phillips & Shuping Shi, 2020. "Common Bubble Detection in Large Dimensional Financial Systems," Cowles Foundation Discussion Papers 2251, Cowles Foundation for Research in Economics, Yale University.
• Ryan Cumings-Menon & Minchul Shin, 2020. "Probability Forecast Combination via Entropy Regularized Wasserstein Distance," Working Papers 20-31/R, Federal Reserve Bank of Philadelphia.
• Carlo Campajola & Domenico Di Gangi & Fabrizio Lillo & Daniele Tantari, 2020. "Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising Model," Papers 2007.15545, arXiv.org, revised Aug 2021.
• Sokbae Lee & Bernard Salani'e, 2020. "Treatment Effects with Targeting Instruments," Papers 2007.10432, arXiv.org, revised Dec 2024.
• Leandro De Magalhaes & Dominik Hangartner & Salomo Hirvonen & Jaakko Meriläinen & Nelson A. Ruiz, 2020. "How Much Should We Trust Regression Discontinuity Design Estimates? Evidence from Experimental Benchmarks of the Incumbency Advantage," Discussion Papers 135, Aboa Centre for Economics.
• Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers 2007.13566, arXiv.org, revised Dec 2022.
• Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application," Papers 2008.03600, arXiv.org, revised Nov 2021.
• Bhattacharjee, A. & Ditzen, J. & Holly, S., 2020. "Spatial and Spatio-temporal Engle-Granger representations, Networks and Common Correlated Effects," Cambridge Working Papers in Economics 2075, Faculty of Economics, University of Cambridge.
• Deborah Kim, 2020. "On the Size Control of the Hybrid Test for Predictive Ability," Papers 2008.02318, arXiv.org, revised Sep 2021.