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Report NEP-ECM-2016-04-09
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ECM
The following items were announced in this report:
- Luciana Dalla Valle & Fabrizio Leisen & Luca Rossini, 2016, "Bayesian Nonparametric Conditional Copula Estimation of Twin Data," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2016:08.
- David Hendry & Grayham E. Mizon, 2016, "Improving the Teaching of Econometrics," Economics Series Working Papers, University of Oxford, Department of Economics, number 785, Mar.
- Xiaohong Chen & Yin Jia Qiu, 2016, "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: a Gentle Guide," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2032, Mar.
- S. Centorrino & J. S. Racine, 2016, "Semiparametric Varying Coefficient Models with Endogenous Covariates," Department of Economics Working Papers, McMaster University, number 2016-02, Mar.
- Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016, "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-024, Mar, DOI: 10.17016/FEDS.2016.024r1.
- Markus Bibinger & Nikolaus Hautsch & Peter Malec & Markus Reiss, 2014, "Estimating the Spot Covariation of Asset Prices – Statistical Theory and Empirical Evidence," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 1464, Oct.
- Xiaohong Chen & Oliver Linton & Stefan Schneeberger & Yanping Yi, 2016, "Simple Nonparametric Estimators for the Bid-Ask Spread in the Roll Model," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2033, Mar.
- Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016, "Copula--based Specification of vector MEMs," Papers, arXiv.org, number 1604.01338, Apr.
- Peter Pütz & Thomas Kneib, 2016, "A Penalized Spline Estimator for Fixed Effects Panel Data Models," SOEPpapers on Multidisciplinary Panel Data Research, DIW Berlin, The German Socio-Economic Panel (SOEP), number 827.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016, "Bayesian Compressed Vector Autoregressions," Working Papers, Brandeis University, Department of Economics and International Business School, number 103, Mar.
- Nektarios Aslanidis & Luke Hartigan, 2016, "Is the Assumption of Linearity in Factor Models too Strong in Practice?," Discussion Papers, School of Economics, The University of New South Wales, number 2016-03, Mar.
- Klaus Neusser, 2016, "A Topological View on the Identification of Structural Vector Autoregressions," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp1604, Mar.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2016, "Calculating Joint Confidence Bands for Impulse Response Functions Using Highest Density Regions," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1564.
- Denni Tommasi & Alexander Wolf, 2016, "Overcoming Weak Identification in the Estimation of Household Resource Shares," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number ECARES 2016-12, Mar.
- Gautier Marti & Frank Nielsen & Philippe Donnat & S'ebastien Andler, 2016, "On clustering financial time series: a need for distances between dependent random variables," Papers, arXiv.org, number 1603.07822, Mar.
- Jennifer Castle & David Hendry & Michael P. Clements, 2016, "An Overview of Forecasting Facing Breaks," Economics Series Working Papers, University of Oxford, Department of Economics, number 779, Feb.
- Ossola, Elisa & Gagilardini, Patrick & Scaillet, Olivier, 2015, "Time-varying risk premium in large cross-sectional equity datasets," Working Papers, University of Geneva, Geneva School of Economics and Management, number unige:76321.
- Michele Piffer, 2016, "Assessing Identifying Restrictions in SVAR Models," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1563.
- Kollmann, Robert, 2016, "Tractable Likelihood-Based Estimation of Non-Linear DSGE Models Using Higher-Order Approximations," MPRA Paper, University Library of Munich, Germany, number 70350.