Report NEP-ECM-2021-04-05

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:

• Zhaoxing Gao & Ruey S. Tsay, 2021. "Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data," Papers 2103.14626, arXiv.org.
• Greta Goracci & Simone Giannerini & Kung-Sik Chan & Howell Tong, 2021. "Testing for threshold effects in the TARMA framework," Papers 2103.13977, arXiv.org.
• Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
• Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
• Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
• Patrik Guggenberger & Frank Kleibergen & Sophocles Mavroeidis, 2021. "A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity," Papers 2103.11371, arXiv.org, revised Oct 2022.
• Pang Du & Christopher F. Parmeter & Jeffrey S. Racine, 2021. "Shape Constrained Kernel PDF and PMF Estimation," Department of Economics Working Papers 2021-05, McMaster University.
• del Barrio Castro, Tomás, 2021. "Testing for the cointegration rank between Periodically Integrated processes," MPRA Paper 106603, University Library of Munich, Germany, revised 2021.
• Tengyuan Liang, 2021. "Universal Prediction Band via Semi-Definite Programming," Papers 2103.17203, arXiv.org, revised Jan 2023.
• Dake Li & Mikkel Plagborg-M{o}ller & Christian K. Wolf, 2021. "Local Projections vs. VARs: Lessons From Thousands of DGPs," Papers 2104.00655, arXiv.org, revised Jan 2024.
• Yiyan Huang & Cheuk Hang Leung & Qi Wu & Xing Yan, 2021. "Robust Orthogonal Machine Learning of Treatment Effects," Papers 2103.11869, arXiv.org, revised Dec 2022.
• Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
• Lukas Boer & Helmut Lütkepohl, 2021. "Qualitative versus Quantitative External Information for Proxy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1940, DIW Berlin, German Institute for Economic Research.
• Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
• Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".
• Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Local Spectrum (LCM) Inference for Predictive Return Regressions," NBER Working Papers 28569, National Bureau of Economic Research, Inc.
• O'Brien, Martin & Velasco, Sofia, 2020. "Unobserved components models with stochastic volatility for extracting trends and cycles in credit," Research Technical Papers 09/RT/20, Central Bank of Ireland.
• Joanna Morais & Christine Thomas-Agnan, 2021. "Impact of covariates in compositional models and simplicial derivatives," Post-Print hal-03180682, HAL.
• Mohammadreza Ghanbari & Mahdi Goldani, 2021. "Support Vector Regression Parameters Optimization using Golden Sine Algorithm and its application in stock market," Papers 2103.11459, arXiv.org.
• Joachim Freyberger, 2021. "Normalizations and misspecification in skill formation models," Papers 2104.00473, arXiv.org, revised Jul 2022.
• Jonas Meier, 2020. "Multivariate Distribution Regression," Diskussionsschriften dp2023, Universitaet Bern, Departement Volkswirtschaft.
• V. A. Kalyagin & A. P. Koldanov & P. A. Koldanov, 2021. "Reliability of MST identification in correlation-based market networks," Papers 2103.14593, arXiv.org.
• Kilian Huber, 2021. "Estimating General Equilibrium Spillovers of Large-Scale Shocks," CESifo Working Paper Series 8955, CESifo.
• Wenyang Huang & Huiwen Wang & Shanshan Wang, 2021. "Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA," Papers 2103.16908, arXiv.org.
• Hanjo Odendaal, 2021. "A machine learning approach to domain specific dictionary generation. An economic time series framework," Working Papers 06/2021, Stellenbosch University, Department of Economics.
• Yijian Chuan & Chaoyi Zhao & Zhenrui He & Lan Wu, 2021. "The Success of AdaBoost and Its Application in Portfolio Management," Papers 2103.12345, arXiv.org.
• Sophocles Mavroeidis, 2021. "Identification at the Zero Lower Bound," Papers 2103.12779, arXiv.org, revised May 2021.
• S. Borağan Aruoba & Marko Mlikota & Frank Schorfheide & Sergio Villalvazo, 2021. "SVARs With Occasionally-Binding Constraints," NBER Working Papers 28571, National Bureau of Economic Research, Inc.
• Pamela Jakiela, 2021. "Simple Diagnostics for Two-Way Fixed Effects," Papers 2103.13229, arXiv.org.
• Huiwen Wang & Wenyang Huang & Shanshan Wang, 2021. "Forecasting open-high-low-close data contained in candlestick chart," Papers 2104.00581, arXiv.org.
• Apostolos Chalkis & Emmanouil Christoforou & Theodore Dalamagkas & Ioannis Z. Emiris, 2021. "Modeling of crisis periods in stock markets," Papers 2103.13294, arXiv.org.
• Shoya Ishimaru, 2021. "What Do We Get from Two-Way Fixed Effects Regressions? Implications from Numerical Equivalence," Papers 2103.12374, arXiv.org, revised Oct 2024.