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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
  • macroeconometrics
  • financial macroeconomics

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

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

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Zu den rentenpolitischen Plänen im Koalitionsvertrag 2018 von CDU, CSU und SPD: Konsequenzen, Finanzierungsoptionen und Reformbedarf

Oliver Holtemöller Christoph Schult Götz Zeddies

in: Zeitschrift für Wirtschaftspolitik, No. 3, 2018

Abstract

In the coalition agreement from February 7, 2018, the new German federal government drafts its public pension policy, which has to be evaluated against the background of demographic dynamics in Germany. In this paper, the consequences of public pensions related policy measures for the German public pension insurance are illustrated using a simulation model. In the long run, the intended extensions of benefits would lead to an increase in the contribution rate to the German public pension insurance of about two and a half percentage points. Referring to pension systems of other countries, we discuss measures in order to limit this increase in the contribution rate.

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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models

Oliver Holtemöller Christoph Schult

in: IWH Discussion Papers, No. 15, 2018

Abstract

In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.

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17th IWH-CIREQ-GW Macroeconometric Workshop: „Inequality, Micro Data and Macroeconomics”

Christoph Schult

in: Wirtschaft im Wandel, No. 1, 2017

Abstract

Am 5. und 6. Dezember 2016 fand am Leibniz-Institut für Wirtschaftsforschung Halle (IWH) zum 17. Mal der IWH-CIREQ Macroeconometric Workshop statt. Die erfolgreiche Kooperation mit dem Centre inter- universitaire de recherche en economie quantitative (CIREQ) wurde in diesem Jahr um die George Washington University (GW) verstärkt. Als neuer Kooperationspartner wurde die seit Februar 2016 am IWH tätige Forschungsprofessorin Tara Sinclair, Ph.D., in diesem Jahr mit in die Auswahlkommission berufen. Der diesjährige Workshop befasste sich mit dem Thema „Inequality, Micro Data and Macroeconomics“.

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Working Papers

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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models

Oliver Holtemöller Christoph Schult

in: IWH Discussion Papers, No. 15, 2018

Abstract

In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.

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