Report NEP-ETS-2017-05-14

This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Yong Yin issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-ETS

The following items were announced in this report:

• Manuel Gonzalez-Astudillo, 2017. "GDP Trend-cycle Decompositions Using State-level Data," Finance and Economics Discussion Series 2017-051, Board of Governors of the Federal Reserve System (U.S.).
• Friedrich, Marina & Smeekes, Stephan & Urbain, Jean-Pierre, 2017. "Autoregressive Wild Bootstrap Inference for Nonparametric Trends," Research Memorandum 010, Maastricht University, Graduate School of Business and Economics (GSBE).
• Stavros Stavroyiannis, 2017. "A note on the Nelson Cao inequality constraints in the GJR-GARCH model: Is there a leverage effect?," Papers 1705.00535, arXiv.org.
• Joana Estevens & Paulo Rocha & Joao Boto & Pedro Lind, 2017. "Stochastic modelling of non-stationary financial assets," Papers 1705.01145, arXiv.org.
• Christian Pierdzioch & Rangan Gupta, 2017. "Uncertainty and Forecasts of U.S. Recessions," Working Papers 201732, University of Pretoria, Department of Economics.
• Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers CWP04/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Oliver Linton & Jianbin Wu, 2017. "A coupled component GARCH model for intraday and overnight volatility," CeMMAP working papers CWP05/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Duprey, Thibaut & Klaus, Benjamin, 2017. "How to predict financial stress? An assessment of Markov switching models," Working Paper Series 2057, European Central Bank.
• Clements, A.E. & Hurn, A.S. & Lindsay, K.A. & Volkov, V.V, 2017. "A semi-parametric point process model of the interactions between equity markets," Working Papers 2017-06, University of Tasmania, Tasmanian School of Business and Economics.