Report NEP-ECM-2018-09-24

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:

• Marx, Benjamin M., 2018. "Dynamic Bunching Estimation with Panel Data," MPRA Paper 88647, University Library of Munich, Germany.
• Zheng, Y. & Gohin, A., 2018. "Estimating dynamic stochastic decision models: explore the generalized maximum entropy alternative," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276001, International Association of Agricultural Economists.
• Giuseppe Arbia & Anna Gloria Billé, 2018. "Spatial Discrete Choice Models: A Review Focused on Specification, Estimation and Health Economics applications," BEMPS - Bozen Economics & Management Paper Series BEMPS54, Faculty of Economics and Management at the Free University of Bozen.
• Autcha Araveeporn, 2018. "A Comparison of Parameter Estimation of Logistic Regression model by Maximum Likelihood, Ridge Regression, Markov Chain Monte Carlo Methods," Proceedings of International Academic Conferences 6409196, International Institute of Social and Economic Sciences.
• Daouia, Abdelaati & Girard, Stéphane & Stupfler, Gilles, 2018. "Tail expectile process and risk assessment," TSE Working Papers 18-944, Toulouse School of Economics (TSE).
• Asai, M. & Peiris, S. & McAleer, M.J. & Allen, D.E., 2018. "Cointegrated Dynamics for A Generalized Long Memory Process," Econometric Institute Research Papers EI 2018-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
• Jagjit S. Chadha & Katsuyuki Shibayama, 2018. "Bayesian Estimation of DSGE Models: identification using a diagnostic indicator," Discussion Papers 1825, Centre for Macroeconomics (CFM).
• Carlos Carvalho & Fernanda Nechio & Tiago Tristao, 2021. "Taylor Rule Estimation by OLS," Working Paper Series 2018-11, Federal Reserve Bank of San Francisco.
• Dario Buono & George Kapetanios & Massimiliano Marcellino & Gianluigi Mazzi & Fotis Papailias, 2018. "Big Data Econometrics: Now Casting and Early Estimates," BAFFI CAREFIN Working Papers 1882, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Ying Fan & Christopher Sullivan, 2018. "Estimate Markups with a Flexible Supply Model," 2018 Meeting Papers 764, Society for Economic Dynamics.
• Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
• Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs," Papers 1809.00236, arXiv.org, revised Jan 2020.
• Billio, Monica & Caporin, Massimiliano & Frattarolo, Lorenzo & Pelizzon, Loriana, 2018. "Networks in risk spillovers: A multivariate GARCH perspective," SAFE Working Paper Series 225, Leibniz Institute for Financial Research SAFE.
• Xolisa Vayi & Andrew Phiri, 2018. "A sequential panel selection approach to cointegration analysis: An application to Wagner’s law for South Africa," Working Papers 1831, Department of Economics, Nelson Mandela University.
• Francis X. Diebold & Minchul Shin, 2018. "Machine Learning for Regularized Survey Forecast Combination: Partially-Egalitarian Lasso and its Derivatives," NBER Working Papers 24967, National Bureau of Economic Research, Inc.
• Jiang, Yuan & House, Lisa A., 2017. "Comparison of the Performance of Count Data Models under Different Zero-Inflation Scenarios Using Simulation Studies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258342, Agricultural and Applied Economics Association.
• Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2018. "A Method to Estimate Mean Lying Rates and Their Full Distribution," Working Papers 1816, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
• Farah Zawaideh & Raed Sahawneh, 2018. "Improve Naïve Bayesian Classifier by Using Genetic Algorithm for Arabic Document," Proceedings of International Academic Conferences 6409186, International Institute of Social and Economic Sciences.
• Zhang, Rui, 2017. "Correcting Sample Selection Bias in Non-Market Valuation with Kernel Mean Matching," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258335, Agricultural and Applied Economics Association.
• Song, Jingyu & Delgado, Michael & Preckel, Paul, 2017. "Aggregated Fractional Regression Estimation: Some Monte Carlo Evidence," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258209, Agricultural and Applied Economics Association.
• Haroon Mumtaz & Konstantinos Theodoridis, 2016. "Volatility Co-movement and the Great Moderation. An Empirical Analysis," Working Papers 804, Queen Mary University of London, School of Economics and Finance.