Dr Katja Heinisch

Dr Katja Heinisch
Current Position

since 1/13

Head of the Research Group Econometric Tools for Macroeconomic Forecasting and Simulation

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

since 9/09

Member of the Department Macroeconomics

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

Research Interests

  • international macroeconomics
  • applied time series econometrics and short-term forecasting
  • macroeconometric modeling

Katja Heinisch joined the Department of Macroeconomics in September 2009. Her research focuses on short-term forecasting and macroeconometric modelling.

Katja Heinisch earned a diploma from Chemnitz University of Technology and University of Strasbourg. She received her PhD from Osnabrück University. Katja Heinisch gained international research experience while working at the European Central Bank (ECB) and the International Monetary Fund (IMF).

Your contact

Dr Katja Heinisch
Dr Katja Heinisch
Mitglied - Department Macroeconomics
Send Message +49 345 7753-836

Publications

Recent Publications

cover_DP_2021-15.jpg

Economic Sentiment: Disentangling Private Information from Public Knowledge

Katja Heinisch Axel Lindner

in: IWH Discussion Papers, No. 15, 2021

Abstract

This paper addresses a general problem with the use of surveys as source of information about the state of an economy: Answers to surveys are highly dependent on information that is publicly available, while only additional information that is not already publicly known has the potential to improve a professional forecast. We propose a simple procedure to disentangle the private information of agents from knowledge that is already publicly known for surveys that ask for general as well as for private prospects. Our results reveal the potential of our proposed technique for the usage of European Commissions‘ consumer surveys for economic forecasting for Germany.

read publication

cover_Konjunktur-aktuell_4-2021.jpg

Investment, output gap, and public finances in the medium term: Implications of the Second Supplementary Budget 2021

Andrej Drygalla Katja Heinisch Oliver Holtemöller Axel Lindner Götz Zeddies

in: Konjunktur aktuell, No. 4, 2021

Abstract

Die Bundesregierung plant, mit dem Zweiten Nachtragshaushalt 2021 dem Energie- und Klimafonds eine Rücklage in Höhe von 60 Mrd. Euro zuzuführen. Die Mittel sollen in den Folgejahren in Investitionen in den Klimaschutz und die Transformation der Wirtschaft fließen und zugleich gesamtwirtschaftliche Folgekosten der Pandemie verringern. Diese pandemiebedingten Einbußen sind auch in der mittleren Frist erheblich. Zwar dürften Nachholeffekte beim privaten Konsum die im Jahr 2021 noch deutliche Unterauslastung bis zum Jahr 2024 vollständig verschwinden lassen. Jedoch liegt das Produktionspotenzial in den kommenden Jahren mehr als 1,5% unter dem Ende 2019 vom IWH prognostizierten Wert, vor allem wegen eines geringeren Arbeitsangebots, unter anderem aufgrund deutlich niedrigerer Zuwanderung von Arbeitskräften. Die Investitionen sind gemäß aktueller Mittelfristprojektion im Jahr 2024 ebenfalls noch deutlich niedriger. Die Effekte des Nachtragshaushalts auf Investitionstätigkeit und Produktion lassen sich mit Hilfe des finanzpolitischen Simulationsmodells des IWH abschätzen. Die beabsichtigten Mehrausgaben dürften auf dem Höhepunkt ihrer Wirksamkeit im Jahr 2024 die gesamtwirtschaftliche Aktivität um etwa 0,5% steigern. Allerdings werden die zusätzlichen Investitionen die seit Pandemiebeginn ausgebliebene Investitionstätigkeit bei Weitem nicht kompensieren können. Eine Bewertung des Nachtragshaushals hat die positiven gesamtwirtschaftlichen Effekte zusätzlicher Investitionen und die negativen Effekte auf die Glaubwürdigkeit der Schuldenbremse gegeneinander abzuwägen.

read publication

cover_flash_2021q4-2022q1.jpg

IWH-Flash-Indikator IV. Quartal 2021 und I. Quartal 2022

Katja Heinisch Oliver Holtemöller Axel Lindner Birgit Schultz

in: IWH Flash Indicator, No. 4, 2021

Abstract

Die wirtschaftliche Erholung in Deutschland setzte sich im dritten Quartal 2021 weiter fort. Das Bruttoinlandsprodukt stieg um 1,8%, nach 1,9% im Vorquartal. Einer stärkeren Erholung standen weiterhin bestehende Lieferketten- und Beschaffungsprobleme sowie kräftig steigende Preise insbesondere im Energiebereich entgegen. Beides wird den Aufschwung in Deutschland wohl noch einige Zeit dämpfen. Pandemiebedingte Angebotsrestriktionen für Dienstleistungen gab es hingegen kaum noch. Da die Impfquote zuletzt stagnierte und die Anzahl der in Krankenhäusern behandelten Corona-Infizierten aktuell wieder stark steigt, werden verstärkte Restriktionen vor allem für bisher noch nicht Geimpfte geplant. Dies dürfte letztlich die private Nachfrage wieder bremsen und könnte auch Beschäftigungsverhältnisse erschweren. Insgesamt wird die Wirtschaft in Deutschland laut IWH-Flash-Indikator im vierten Quartal 2021 wohl stagnieren und im ersten Quartal 2022 dann um 0,6% zulegen (vgl. Abbildung).

read publication

 

Refereed Publications

cover_Energy-Economics.gif

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

Katja Heinisch Oliver Holtemöller Christoph Schult

in: Energy Economics, 2021

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. We study potential economic consequences of a coal phase-out in Germany, using a multi-region dynamic general equilibrium model. Four regional phase-out scenarios before the end of 2040 are simulated. We find that the worst case phase-out scenario would lead to an increase in the aggregate unemployment rate by about 0.13 [0.09 minimum; 0.18 maximum] percentage points from 2020 to 2040. The effect on regional unemployment rates varies between 0.18 [0.13; 0.22] and 1.07 [1.00; 1.13] percentage points in the lignite regions. 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 10,100 [6300; 12,300] people by 2040. A coal phase-out until 2035 is not worse in terms of welfare, consumption and employment compared to a coal-exit until 2040.

read publication

cover_jahrbuecher-fuer-nationaloekonomie-und-statistik.jpg

(Since when) are East and West German Business Cycles Synchronised?

Stefan Gießler Katja Heinisch Oliver Holtemöller

in: Jahrbücher für Nationalökonomie und Statistik, No. 1, 2021

Abstract

We analyze whether, and since when, East and West German business cycles are synchronised. We investigate real GDP, unemployment rates and survey data as business cycle indicators and we employ several empirical methods. Overall, we find that the regional business cycles have synchronised over time. GDP-based indicators and survey data show a higher degree of synchronisation than the indicators based on unemployment rates. However, synchronisation among East and West German business cycles seems to have become weaker again recently.

read publication

cover_empirical-economics.jpg

Nowcasting East German GDP Growth: a MIDAS Approach

João Carlos Claudio Katja Heinisch Oliver Holtemöller

in: Empirical Economics, No. 1, 2020

Abstract

Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.

read publication

Working Papers

cover_DP_2021-15.jpg

Economic Sentiment: Disentangling Private Information from Public Knowledge

Katja Heinisch Axel Lindner

in: IWH Discussion Papers, No. 15, 2021

Abstract

This paper addresses a general problem with the use of surveys as source of information about the state of an economy: Answers to surveys are highly dependent on information that is publicly available, while only additional information that is not already publicly known has the potential to improve a professional forecast. We propose a simple procedure to disentangle the private information of agents from knowledge that is already publicly known for surveys that ask for general as well as for private prospects. Our results reveal the potential of our proposed technique for the usage of European Commissions‘ consumer surveys for economic forecasting for Germany.

read publication

cover_DP_2021-7.jpg

Conditional Macroeconomic Forecasts: Disagreement, Revisions and Forecast Errors

Alexander Glas Katja Heinisch

in: IWH Discussion Papers, No. 7, 2021

Abstract

Using data from the European Central Bank‘s Survey of Professional Forecasters, we analyse the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the heterogeneity, updating and ex-post performance of predictions for inflation, real GDP growth and the unemployment rate are related to assumptions about future oil prices, exchange rates, interest rates and wage growth. Our findings indicate that inflation forecasts are closely associated with oil price expectations, whereas expected interest rates are used primarily to predict output growth and unemployment. Expectations about exchange rates and wage growth also matter for macroeconomic forecasts, albeit less so than oil prices and interest rates. We show that survey participants can considerably improve forecast accuracy for macroeconomic outcomes by reducing prediction errors for external conditions. Our results contribute to a better understanding of the expectation formation process of experts.

read publication

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
Mitglied der Leibniz-Gemeinschaft LogoTotal-Equality-LogoWeltoffen Logo