Report NEP-FOR-2020-02-24
This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Ugofilippo Basellini & Søren Kjærgaard & Carlo Giovanni Camarda, 2020. "An age-at-death distribution approach to forecast cohort mortality," Working Papers axafx5_3agsuwaphvlfk, French Institute for Demographic Studies.
- Serhan Cevik, 2020. "Where Should We Go? Internet Searches and Tourist Arrivals," IMF Working Papers 20/22, International Monetary Fund.
- Sang Il Lee, 2020. "Hyperparameter Optimization for Forecasting Stock Returns," Papers 2001.10278, arXiv.org.
- Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," NBER Working Papers 26716, National Bureau of Economic Research, Inc.
- Meyler, Aidan, 2020. "Forecast performance in the ECB SPF: ability or chance?," Working Paper Series 2371, European Central Bank.
- Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
- Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
- Yang Lu, 2019. "Flexible (panel) regression models for bivariate count-continuous data with an insurance application," Post-Print hal-02419024, HAL.
- Krüger, Jens & Ruths Sion, Sebastian, 2019. "Improving Oil Price Forecasts by Sparse VAR Methods," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118208, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Francisco Arroyo Marioli & Francisco Bullano & Jorge Fornero & Roberto Zúñiga, 2020. "Semi-Structural Forecasting Model," Working Papers Central Bank of Chile 866, Central Bank of Chile.
- Ioannou, Petros & Monteiro, Fernando Valladares, 2020. "Intelligent, Predictive Parking Assist for Trucks," Institute of Transportation Studies, Working Paper Series qt7js0f595, Institute of Transportation Studies, UC Davis.