We analyze whether lower rents for energy-inefficient apartments reflect tenants' willingness to pay due to a higher green awareness, purchasing power, or energy consumption costs. Based on a German rental apartment dataset from Q1 2007 to Q1 2019, we use interaction terms for socioeconomic...

Basic annual cross sections of market on accounting values are estimated in levels and returns using a 30 US firm by 50 year panel of data. Log transformations of the levels data are shown to produce an improved statistical specification. Deflated returns models are shown to suffer from other...

Carbon prices in the EU emissions trading system (EU ETS) are a key instrument driving Europe’s decarbonization. Between 2017 and 2021, they surged tenfold, exceeding 80 €/tCO2 and reshaping investment decisions across the electricity and industry sectors. What has driven this increase is an...

This study analyzes the short-run effects on the German economy of the fossil energy crisis in 2022 and discusses some implications for the design of a resilient, renewable energy system. The study shows that the energy crisis led to a short-run output loss comparable to the output losses...

This paper provides a tool to build climate change scenarios to forecast Gross Domestic Product (GDP), modelling both GDP damage due to climate change and the GDP impact of mitigating measures. It adopts a supply-side, long-term view, with 2060 and 2100 horizons. It is a global projection tool...

This paper uses monthly survey data for the G7 countries for the time period 1989 - 2007 to explore the link between expectations on nominal wages, prices and unemployment rate as suggested by the traditional and Samuelson-and-Solow-type Phillips curve. Three major findings stand out: First, we...

We analyze forecasts of inflation and GDP growth contained in Banco de México's Survey of Professional Forecasters for the period 1995-2009. The forecasts are for the current and the following year, comprising an unbalanced three-dimensional panel with multiple individual forecasters, target...

Cross institutional forecast evaluations may be severely distorted by the fact that forecasts are made at different points in time, and thus with different amount of information. This paper proposes a method to account for these differences. The method computes the timing effect and the...

In a large sample of countries across different geographic regions and over a long period of time, we find limited country- and variable-specific effects of central bank transparency on forecast accuracy and their dispersion among a large set of professional forecasts of financial and...

The new Keynesian Phillips curve (NKPC) restricts multivariate forecasts. I estimate and test it entirely within a panel of professional forecasts, thus using the time-series, cross-forecaster, and cross-horizon dimensions of the panel. Estimation uses 13,193 observations on quarterly US...