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Christoph Schult

Christoph Schult
Current Position

since 7/16

Economist in the Department of Macroeconomics

Halle Institute for Economic Research (IWH) – Member of the Leibniz Association

Research Interests
  • dynamic macroeconomics
  • energy economics

Christoph Schult joined the Department of Macroeconomics as a doctoral student in July 2016. His research focuses on dynamic macroeconomics, forecasting and energy economics.

Christoph Schult received his bachelor's degree from Martin Luther University Halle-Wittenberg and his master's degree from Humboldt-Universität zu Berlin.

Your contact

Christoph Schult
Christoph Schult
Mitglied - Department Macroeconomics
Send Message +49 345 7753-806

Publications

Recent Publications

cover_DP_2019-18.jpg

How Forecast Accuracy Depends on Conditioning Assumptions

Carola Engelke Katja Heinisch Christoph Schult

in: IWH Discussion Papers, No. 18, 2019

Abstract

This paper examines the extent to which errors in economic forecasts are driven by initial assumptions that prove to be incorrect ex post. Therefore, we construct a new data set comprising an unbalanced panel of annual forecasts from different institutions forecasting German GDP and the underlying assumptions. We explicitly control for different forecast horizons to proxy the information available at the release date. Over 75% of squared errors of the GDP forecast comove with the squared errors in their underlying assumptions. The root mean squared forecast error for GDP in our regression sample of 1.52% could be reduced to 1.13% by setting all assumption errors to zero. This implies that the accuracy of the assumptions is of great importance and that forecasters should reveal the framework of their assumptions in order to obtain useful policy recommendations based on economic forecasts.

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cover_DP_2019-16.jpg

Power Generation and Structural Change: Quantifying Economic Effects of the Coal Phase-out in Germany

Christoph Schult Katja Heinisch Oliver Holtemöller

in: IWH Discussion Papers, No. 16, 2019

Abstract

In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. Using a multi-region dynamic general equilibrium model, this paper studies potential economic consequences of a coal phase-out in Germany. Different regional phase-out scenarios are simulated with varying timing structures. We find that a politically induced coal phase-out would lead to an increase in the national unemployment rate by about 0.10 percentage points from 2020 to 2040, depending on the specific scenario. The effect on regional unemployment rates varies between 0.18 to 1.07 percentage points in the lignite regions. However, a faster coal phase-out can lead to a faster recovery. The coal phase-out leads to migration from German lignite regions to German non-lignite regions and reduces the labour force in the lignite regions by 10,000 people by 2040.

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Klimaschutz und Kohleausstieg: Politische Strategien und Maßnahmen bis 2030 und darüber hinaus

Pao-Yu Oei Casimir Lorenz Sophie Schmalz Hanna Brauers Philipp Herpich Christian von Hirschhausen Claudia Kemfert Barbara Dröschel Jan Hildebrand Juri Horst Uwe Klann Patrick Matschoss Michael Porzig Irina Rau Bernhard Wern Hans-Ulrich Brautzsch Gerhard Heimpold Katja Heinisch Oliver Holtemöller Christoph Schult Hauke Hermann Dirk Heyen Katja Schumacher Cornelia Ziehm

in: Pao-Yu Oei et al., Klimaschutz und Kohleausstieg: Politische Strategien und Maßnahmen bis 2030 und darüber hinaus. Abschlussbericht. Climate Change 27/2019. Dessau-Roßlau: Umweltbundesamt, 2019

Abstract

The present study examines the socio-economic consequences of a climate policy-driven coal phase-out in Germany. A focus lies on the lignite industry – especially in the lignite regions. In a first step, the regions are spatially defined and described. Additional analysis is based on energy economic modelling. The model examines phase-out scenarios, which differ in the chosen criteria for the order of power plant closure (specific emissions or plant age). An input-output-model and a regional macroeconomic model build up on these phase-out pathways and examine the socio economic effects of the phase-out in the lignite regions as well as in the rest of Germany. The combination of both models offers the advantage to consider the phase-out from different perspective and hence derive different and more robust effects. The models show, on the one hand, that in an early phase-out the negative effects of structural change are visible earlier. On the other hand, recuperative effects can counteract the negative consequences according to the regional economic model. Furthermore, the structural change creates economic opportunities. Those opportunities are primarily diversified economic activities. Case studies show significant employment potentials for the lignite regions. New jobs in renewable energies and energetic optimization of buildings can already counteract the negative employment effects associated with the investigated structural change. The study concludes, describing accompanying political instruments that can support the regions on their way to master the challenges of the up-coming structural change.

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Working Papers

cover_DP_2019-18.jpg

How Forecast Accuracy Depends on Conditioning Assumptions

Carola Engelke Katja Heinisch Christoph Schult

in: IWH Discussion Papers, No. 18, 2019

Abstract

This paper examines the extent to which errors in economic forecasts are driven by initial assumptions that prove to be incorrect ex post. Therefore, we construct a new data set comprising an unbalanced panel of annual forecasts from different institutions forecasting German GDP and the underlying assumptions. We explicitly control for different forecast horizons to proxy the information available at the release date. Over 75% of squared errors of the GDP forecast comove with the squared errors in their underlying assumptions. The root mean squared forecast error for GDP in our regression sample of 1.52% could be reduced to 1.13% by setting all assumption errors to zero. This implies that the accuracy of the assumptions is of great importance and that forecasters should reveal the framework of their assumptions in order to obtain useful policy recommendations based on economic forecasts.

read publication
cover_DP_2019-16.jpg

Power Generation and Structural Change: Quantifying Economic Effects of the Coal Phase-out in Germany

Christoph Schult Katja Heinisch Oliver Holtemöller

in: IWH Discussion Papers, No. 16, 2019

Abstract

In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. Using a multi-region dynamic general equilibrium model, this paper studies potential economic consequences of a coal phase-out in Germany. Different regional phase-out scenarios are simulated with varying timing structures. We find that a politically induced coal phase-out would lead to an increase in the national unemployment rate by about 0.10 percentage points from 2020 to 2040, depending on the specific scenario. The effect on regional unemployment rates varies between 0.18 to 1.07 percentage points in the lignite regions. However, a faster coal phase-out can lead to a faster recovery. The coal phase-out leads to migration from German lignite regions to German non-lignite regions and reduces the labour force in the lignite regions by 10,000 people by 2040.

read publication
Browse all working papers

Related Topics

Coal Phase-out
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