Report NEP-ECM-2019-12-16

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:

• Ruixuan Liu & Zhengfei Yu, 2019. "Simple Semiparametric Estimation of Ordered Response Models: with an Application to the Interdependence Duration Models," Tsukuba Economics Working Papers 2019-004, Faculty of Humanities and Social Sciences, University of Tsukuba.
• Fabio Franco, 2019. "Likelihood Induced by Moment Functions Using Particle Filter: a Comparison of Particle GMM and Standard MCMC Methods," CEIS Research Paper 477, Tor Vergata University, CEIS, revised 04 Dec 2019.
• Schnücker, A.M., 2019. "Penalized Estimation of Panel Vector Autoregressive Models," Econometric Institute Research Papers EI-2019-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
• He, Yang & Bartalotti, Otávio, 2019. "Wild Bootstrap for Fuzzy Regression Discontinuity Designs: Obtaining Robust Bias-Corrected Confidence Intervals," IZA Discussion Papers 12801, Institute of Labor Economics (IZA).
• Zhishui Hu & Peter C.B. Phillips & Qiying Wang, 2019. "Nonlinear Cointegrating Power Function Regression with Endogeneity," Cowles Foundation Discussion Papers 2211, Cowles Foundation for Research in Economics, Yale University.
• Thomas-Agnan, Christine & Morais, Joanna, 2019. "Covariates impacts in compositional models and simplicial derivatives," TSE Working Papers 19-1057, Toulouse School of Economics (TSE).
• Stephan Smeekes & Etienne Wijler, 2019. "High-Dimensional Forecasting in the Presence of Unit Roots and Cointegration," Papers 1911.10552, arXiv.org.
• Ruixuan Liu & Zhengfei Yu, 2019. "Accelerated Failure Time Models with Log-concave Errors," Tsukuba Economics Working Papers 2019-003, Faculty of Humanities and Social Sciences, University of Tsukuba.
• Alexander M. Chinco & Andreas Neuhierl & Michael Weber, 2019. "Estimating The Anomaly Base Rate," NBER Working Papers 26493, National Bureau of Economic Research, Inc.
• Giuseppe Cavaliere & Iliyan Georgiev, 2019. "Inference under random limit bootstrap measures," Papers 1911.12779, arXiv.org, revised Dec 2019.
• Yu, Hanchen & Fotheringham, Alexander Stewart & Li, Ziqi & Oshan, Taylor M. & Wolf, Levi John, 2019. "On the Measurement of Bias in Geographically Weighted Regression Models," OSF Preprints etb42, Center for Open Science.
• Annalisa Cadonna & Sylvia Fruhwirth-Schnatter & Peter Knaus, 2019. "Triple the gamma -- A unifying shrinkage prior for variance and variable selection in sparse state space and TVP models," Papers 1912.03100, arXiv.org.
• Chan Shen, 2019. "Recursive Differencing for Estimating Semiparametric Models," Departmental Working Papers 201903, Rutgers University, Department of Economics.
• Schnaubelt, Matthias, 2019. "A comparison of machine learning model validation schemes for non-stationary time series data," FAU Discussion Papers in Economics 11/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
• Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
• Antoine Deeb & Cl'ement de Chaisemartin, 2019. "Clustering and External Validity in Randomized Controlled Trials," Papers 1912.01052, arXiv.org, revised Dec 2022.
• Alexander Jurisch, 2019. "Statistical mechanics and time-series analysis by L\'evy-parameters with the possibility of real-time application," Papers 1902.09425, arXiv.org.
• Millie Yi Mao & Aman Ullah, 2019. "Information Theoretic Estimation of Econometric Functions," Working Papers 201923, University of California at Riverside, Department of Economics.
• Indranil SenGupta & William Nganje & Erik Hanson, 2019. "Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning," Papers 1911.13300, arXiv.org, revised Mar 2020.
• Item repec:hal:wpaper:hal-02335586 is not listed on IDEAS anymore

• Massimo Franchi & Paolo Paruolo, 2019. "Cointegration, root functions and minimal bases," DSS Empirical Economics and Econometrics Working Papers Series 2019/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.