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

Economist in the Department of 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_flash_2020q2q3.jpg

IWH-Flash-Indikator II. Quartal und III. Quartal 2020

Katja Heinisch Oliver Holtemöller Axel Lindner Birgit Schultz

in: One-off Publications, No. 2, 2020

Abstract

Die Corona-Pandemie hat dazu geführt, dass das deutsche Bruttoinlandsprodukt im ersten Quartal 2020 um 2,2% im Vergleich zum Vorquartal gesunken ist. Dieser starke Rückgang ist vor allem auf die im Laufe des Monats März in Deutschland und in anderen Ländern eingeführten Maßnahmen zur Eindämmung des Virus zurückzuführen. Bereits aus anderen Gründen war das Bruttoinlandsprodukt schon im vierten Quartal 2019 leicht zurückgegangen. Die Rezession wird sich im laufenden Quartal noch weiter vertiefen und das Bruttoinlandsprodukt um 7,2% zurückgehen, weil bis Mitte Mai die Restriktionen zur Eindämmung der Pandemie noch gravierend waren, aber auch weil private Haushalte und Unternehmen eine Vielzahl von wirtschaftlichen Aktivitäten individuell eingeschränkt haben. Im dritten Quartal 2020 dürfte die Produktion dann wieder zulegen, sofern die Eindämmungsmaßnahmen weiter gelockert werden können (vgl. Abbildung 1).

read publication

cover_flash_2020q1q2.png

IWH-Flash-Indikator I. Quartal und II. Quartal 2020

Katja Heinisch Oliver Holtemöller Axel Lindner Birgit Schultz

in: One-off Publications, No. 1, 2020

Abstract

Das Bruttoinlandsprodukt in Deutschland hat im vierten Quartal, so wie vom IWH-Flash-Indikator im November angezeigt, lediglich stagniert. Für das erste und das zweite Quartal 2020 deutet der IWH-Flash-Indikator wieder auf eine Zunahme des Bruttoinlandsprodukts hin (vgl. Abbildung 1). Allerdings gehen in den Indikator keine Daten ein, die der chinesischen Corona-Epidemie Rechnung tragen.

read publication

cover_Konjunktur_aktuell_2019_4.jpg

Sinkendes Potenzialwachstum in Deutschland, beschleunigter Braunkohleausstieg und Klimapaket: Finanzpolitische Konsequenzen für die Jahre bis 2024

Andrej Drygalla Katja Heinisch Oliver Holtemöller Axel Lindner Christoph Schult Matthias Wieschemeyer Götz Zeddies

in: Konjunktur aktuell, No. 4, 2019

Abstract

Nach der Mittelfristprojektion des IWH wird das Bruttoinlandsprodukt in Deutschland in den Jahren bis 2024 preisbereinigt um durchschnittlich 1% wachsen; das nominale Bruttoinlandsprodukt wird um durchschnittlich 2¾% zunehmen. Die Durchschnittswerte verschleiern die Tatsache, dass das Wachstum gegen Ende des Projektionszeitraums aufgrund der dann rückläufigen Erwerbsbevölkerung spürbar zurückgehen wird. Dies wird sich auch bei den Staatseinnahmen niederschlagen. Allerdings wird die Bevölkerung nicht regional gleichverteilt zurückgehen. Strukturschwache Regionen dürften stärker betroffen sein. Die regionalen Effekte auf die Staatseinnahmen werden zwar durch Umverteilungsmechanismen abgefedert, aber nicht völlig ausgeglichen. Regionen mit schrumpfender Erwerbsbevölkerung müssen sich auf einen sinkenden finanziellen Spielraum einstellen. Der beschleunigte Braunkohleausstieg wird diesen Prozess verstärken, das Klimapaket der Bundesregierung hat hingegen vergleichsweise geringe Auswirkungen auf die öffentlichen Finanzen.

read publication

 

Refereed Publications

cover_empirical-economics.jpg

Nowcasting East German GDP Growth: a MIDAS Approach

João Carlos Claudio Katja Heinisch Oliver Holtemöller

in: Empirical Economics, forthcoming

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

cover_german-economic-review.jpg

Should Forecasters Use Real‐time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence

Katja Heinisch Rolf Scheufele

in: German Economic Review, forthcoming

Abstract

In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.

read publication

cover_applied-economics-letters.jpg

For How Long Do IMF Forecasts of World Economic Growth Stay Up-to-date?

Katja Heinisch Axel Lindner

in: Applied Economics Letters, No. 3, 2019

Abstract

This study analyses the performance of the International Monetary Fund (IMF) World Economic Outlook output forecasts for the world and for both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current year and the next year, we examine the durability of IMF forecasts, looking at how much time has to pass so that IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time data set for GDP and for indicators, we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts as soon as the publication of the IMF’s Outlook is only a few months old. In particular, there is an obvious gain using leading indicators from January to March for the forecast of the current year.

read publication

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

cover_DP_2019-07.jpg

(Since When) Are East and West German Business Cycles Synchronised?

Stefan Gießler Katja Heinisch Oliver Holtemöller

in: IWH Discussion Papers, No. 7, 2019

Abstract

This paper analyses 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 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, recently synchronisation among East and West German business cycles seems to become weaker, in line with international evidence.

read publication
Mitglied der Leibniz-Gemeinschaft LogoTotal-Equality-LogoWeltoffen Logo