Report NEP-ECM-2019-07-29

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:

• Hong, Shengjie & Su, Liangjun & Wang, Yaqi, 2019. "Inference in partially identified panel data models with interactive fixed effects," Economics and Statistics Working Papers 14-2019, Singapore Management University, School of Economics.
• Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing [Modèles auto-régressifs non-causaux mixtes: Problèmes de bimodalité pour l'estimation et le test de r," Working Papers hal-02175760, HAL.
• Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
• Ayala, Astrid & Blazsek, Szabolcs, 2019. "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics 28638, Universidad Carlos III de Madrid. Departamento de Economía.
• Huanjun Zhu & Vasilis Sarafidis & Mervyn Silvapulle, 2019. "A New Structural Break Test for Panels with Common Factors," Working Papers 2019-07-09, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
• Stefano Tonellato, 2019. "Bayesian nonparametric clustering as a community detection problem," Working Papers 2019: 20, Department of Economics, University of Venice "Ca' Foscari".
• Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
• Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," PIER Working Paper Archive 19-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Victor H. Aguiar & Nail Kashaev, 2019. "Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets," Papers 1907.04853, arXiv.org, revised Jun 2021.
• Peter Knaus & Angela Bitto-Nemling & Annalisa Cadonna & Sylvia Fruhwirth-Schnatter, 2019. "Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP," Papers 1907.07065, arXiv.org, revised Nov 2020.
• Marcel Bräutigam & Marie Kratz, 2019. "Bivariate FCLT for the Sample Quantile and Measures of Dispersion for Augmented GARCH(p, q) processes," Working Papers hal-02176276, HAL.
• Ke, Miao & Su, Liangjun & Wang, Wendun, 2019. "Panel threshold regressions with latent group structures," Economics and Statistics Working Papers 13-2019, Singapore Management University, School of Economics.
• Joshua C. C. Chan, 2019. "Asymmetric conjugate priors for large Bayesian VARs," CAMA Working Papers 2019-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Nguyen, T.H.A & Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2019. "A simultaneous spatial autoregressive model for compositional data," TSE Working Papers 19-1028, Toulouse School of Economics (TSE), revised Apr 2020.
• Gregory Cox & Xiaoxia Shi, 2019. "Simple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models," Papers 1907.06317, arXiv.org, revised Aug 2020.
• Andrew J. Patton & Brian M. Weller, 2019. "Testing for Unobserved Heterogeneity via k-means Clustering," Papers 1907.07582, arXiv.org.
• Lee, Dae-Jin, 2019. "Out-of-sample prediction in multidimensional P-spline models," DES - Working Papers. Statistics and Econometrics. WS 28630, Universidad Carlos III de Madrid. Departamento de Estadística.
• Alexis Bogroff & Dominique Guégan, 2019. "Artificial Intelligence, Data, Ethics. An Holistic Approach for Risks and Regulation," Working Papers 2019: 19, Department of Economics, University of Venice "Ca' Foscari".
• Bucci, Andrea, 2019. "Cholesky-ANN models for predicting multivariate realized volatility," MPRA Paper 95137, University Library of Munich, Germany.
• Fredrik Savje, 2019. "On the inconsistency of matching without replacement," Papers 1907.07288, arXiv.org, revised Jun 2021.
• Riccardo Marcaccioli & Giacomo Livan, 2019. "Maximum Entropy approach to multivariate time series randomization," Papers 1907.04925, arXiv.org, revised Jun 2020.
• Magnus Wiese & Robert Knobloch & Ralf Korn & Peter Kretschmer, 2019. "Quant GANs: Deep Generation of Financial Time Series," Papers 1907.06673, arXiv.org, revised Dec 2019.