Report NEP-ECM-2016-12-18

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:

• Offer Lieberman & Peter C.B. Phillips, 2016. "IV and GMM Estimation and Testing of Multivariate Stochastic Unit Root Models," Cowles Foundation Discussion Papers 2061, Cowles Foundation for Research in Economics, Yale University.
• Otneim, Håkon & Tjøstheim, Dag, 2016. "Non-parametric estimation of conditional densities: A new method," Discussion Papers 2016/22, Norwegian School of Economics, Department of Business and Management Science.
• Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
• Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
• Minford, Patrick & Wickens, Michael & Xu, Yongdeng, 2016. "Testing part of a DSGE model by Indirect Inference," Cardiff Economics Working Papers E2016/12, Cardiff University, Cardiff Business School, Economics Section.
• Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016. "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers 194, Center for Policy Research, Maxwell School, Syracuse University.
• Joachim Lebovits & Mark Podolskij, 2016. "Estimation of the global regularity of a multifractional Brownian motion," CREATES Research Papers 2016-33, Department of Economics and Business Economics, Aarhus University.
• Wayne Yuan Gao & Peter C.B. Phillips, 2016. "Structural Inference from Reduced Forms with Many Instruments," Cowles Foundation Discussion Papers 2062, Cowles Foundation for Research in Economics, Yale University.
• de Valk, Cees, 2016. "A large deviations approach to the statistics of extreme events," Other publications TiSEM 117b3ba0-0e40-4277-b25e-d, Tilburg University, School of Economics and Management.
• Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.
• He, Yi, 2016. "Multivariate extreme value statistics for risk assessment," Other publications TiSEM 119cc8b9-5198-41d6-a648-f, Tilburg University, School of Economics and Management.
• Thieu, Le Quyen, 2016. "Variance targeting estimation of the BEKK-X model," MPRA Paper 75572, University Library of Munich, Germany.
• Nathalie Gimenes & Emmanuel Guerre, 2016. "Quantile methods for first-price auction: A signal approach," Working Papers, Department of Economics 2016_23, University of São Paulo (FEA-USP).
• Jos'e E. Figueroa-L'opez & Cheng Li, 2016. "Optimal Kernel Estimation of Spot Volatility of Stochastic Differential Equations," Papers 1612.04507, arXiv.org.
• Beaudry, Paul & Fève, Patrick & Guay, Alain & Portier, Franck, 2016. "When is Nonfundamentalness in SVARs A Real Problem?," TSE Working Papers 16-738, Toulouse School of Economics (TSE).
• Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
• Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.
• Thieu, Le Quyen, 2016. "Equation by equation estimation of the semi-diagonal BEKK model with covariates," MPRA Paper 75582, University Library of Munich, Germany.
• William C. Horrace & Ian A. Wright, 2016. "Stationary Points for Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 196, Center for Policy Research, Maxwell School, Syracuse University.
• Quang Vuong & Ayse Pehlivan, 2016. "Nonparametric Identification and Estimation of Productivity Distributions and Trade Costs," 2016 Meeting Papers 1618, Society for Economic Dynamics.
• Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
• Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails with an application to inflation forecasting," BCAM Working Papers 1603, Birkbeck Centre for Applied Macroeconomics.