Forecasting Natural Gas Prices in Real Time
Christiane Baumeister, Florian Huber, Thomas K. Lee, Francesco Ravazzolo
NBER Working Paper,
No. 33156,
2024
Abstract
This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in their complexity and economic content. Our key finding is that considerable reductions in mean-squared prediction error relative to a random walk benchmark can be achieved in real time for forecast horizons of up to two years. A particularly promising model is a six-variable Bayesian vector autoregressive model that includes the fundamental determinants of the supply and demand for natural gas. To capture real-time data constraints of these and other predictor variables, we assemble a rich database of historical vintages from multiple sources. We also compare our model-based forecasts to readily available model-free forecasts provided by experts and futures markets. Given that no single forecasting method dominates all others, we explore the usefulness of pooling forecasts and find that combining forecasts from individual models selected in real time based on their most recent performance delivers the most accurate forecasts.
Read article
Media Response
Media Response June 2025 Steffen Müller: Weniger neue Insolvenzen angemeldet in: Handelsblatt.com, 13.06.2025 Steffen Müller: Weniger neue Insolvenzen angemeldet in:…
See page
Homepage
Economic recovery in Germany – but structural problems and US trade policy weigh on the economy If the US does not escalate its trade conflicts further, production in Germany…
See page
Research Data Centre
Research Data Centre (IWH-RDC) Direct link to our Data Offer The IWH Research Data Centre offers external researchers access to microdata and micro-aggregated data sets that…
See page
Internationalisation
Internationalisation The Leibniz Institute for Economic Research Halle (IWH) is responsible for economic research and economic policy advice on a scientific basis. The institute…
See page
Archive
Media Response Archive 2021 2020 2019 2018 2017 2016 December 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
See page
Macro Data Download
Macro Data Download On this page, you will find long time series of macroeconomic data provided by IWH for download. Please note that most files come with labels and legends in…
See page
Macro data interactive
Macro data interactive This service provides time series from official publications (Statistisches Bundesamt [German Federal Statistical Office], Arbeitskreis Volkswirtschaftliche…
See page
Green Transition
Green Transition Research and Policy Advice for Structural Change in the German Economy Dossier, 18.06.2024 Green Transition The green transition is a key topic of our time. In a…
See page
Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects
Sven Resnjanskij, Jens Ruhose, Simon Wiederhold, Ludger Woessmann, Katharina Wedel
Journal of Political Economy,
No. 3,
2024
Abstract
We study a mentoring program that aims to improve the labor-market prospects of school-attending adolescents from disadvantaged families by offering them a university-student mentor. Our RCT investigates program effectiveness on three outcome dimensions that are highly predictive of later labor-market success: math grades, patience/social skills, and labor-market orientation. For low-SES adolescents, the mentoring increases a combined index of the outcomes by over half a standard deviation after one year, with significant increases in each dimension. Part of the treatment effect is mediated by establishing mentors as attachment figures who provide guidance for the future. Effects on grades and labor-market orientation, but not on patience/social skills, persist three years after program start. By that time, the mentoring also improves early realizations of school-to-work transitions for low-SES adolescents. The mentoring is not effective for higher-SES adolescents. The results show that substituting lacking family support by other adults can help disadvantaged children at adolescent age.
Read article
