Econometric Tools for Macroeconomic Forecasting and Simulation

The aim of the research group “Econometric Tools for Macroeconomic Forecasting and Simulation” is to enhance research on, and development, implementation, evaluation, and application of quantitative macroeconometric models for forecasting and analysing aggregate economic fluctuations and developments. 

Besides forecasting macroeconomic dynamics, long-term growth processes and the interaction of economic activity and natural environment play a major role in simulation models that are mainly implemented for policy impact assessment. Research in this group contributes to the econometric foundation and the methodological improvements of the IWH forecasts and macroeconomic policy recommendations. 

Furthermore, this group conducts comprehensive empirical analysis and develops econometric tools that are used for third-party funded projects. In recent years, models have been developed for Volkswagen Bank, for several economic ministries in central Asia with financial support by GIZ, for the German Environment Agency (UBA) and within the Horizon 2020 project ENTRANCES.

Workpackage 1: Nowcasting and Short-term Forecasting with Real-time Data

Workpackage 2: Simulation with GE Models and Integrated Assessment Models

IWH Data Project: IWH-Real-time Database and IWH Forecast Database

An important challenge is that macroeconomic data are substantially revised and that the data are published with a considerable time lag. We maintain a large database for major economic aggregates in euro area countries. Although Eurostat publishes national accounts data for all member countries no official real-time data exists and, hence, it is not possible to evaluate forecasts with real-time releases. 

The database is complemented by other macro-economic variables that are revised or rebased over time. This unique database will summarise the official data in an efficient and easily accessible way. Furthermore, the database will be supplemented by a forecast database for euro area member states by the European Commission for national account aggregates and forecast assumptions. 

The new web application IWH Forecasting Dashboard (ForDas) provides a platform for macroeconomic forecasts from various institutions for the German economy. Users of the Dashboard can assess historical and recent forecasts and to evaluate the forecast performance. Furthermore, it allows for direct comparison across forecast institutions.

Research Cluster
Economic Dynamics and Stability

Your contact

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

EXTERNAL FUNDING

07.2022 ‐ 12.2026

Evaluation of the InvKG and the federal STARK programme

German Federal Ministry for Economic Affairs and Climate Action

On behalf of the Federal Ministry of Economics and Climate Protection, the IWH and the RWI are evaluating the use of the approximately 40 billion euros the federal government is providing to support the coal phase-out regions..

See project page

12.2024 ‐ 02.2026

Macroeconomic Modelling for Energy Investments in Vietnam

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

Dr Katja Heinisch

08.2024 ‐ 03.2025

Strengthening Public Financial Management in Vietnam

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

Dr Katja Heinisch

01.2023 ‐ 12.2023

Early determination of stable results for gross domestic product or real economic growth and gross value added at federal state level

Landesbetrieb Information und Technik Nordrhein-Westfalen

The project examines whether the accuracy of the first estimate of gross value added and gross domestic product for the federal states can be increased, thereby reducing the extent of subsequent revisions.

 See project page

Professor Dr Oliver Holtemöller

01.2018 ‐ 12.2023

EuropeAid (EU Framework Contract)

Europäische Kommission

Professor Dr Oliver Holtemöller

05.2020 ‐ 09.2023

ENTRANCES: Energy Transitions from Coal and Carbon: Effects on Societies

Europäische Kommission

ENTRANCES aims at examining the effects of the coal phase-out in Europe. How does the phase-out transform society – and what can politics do about it?

see project's webpage

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 883947.

Professor Dr Oliver Holtemöller
Dr Katja Heinisch

10.2019 ‐ 01.2023

Climate Resilient Economic Development

Climate change has a substantial impact on economic growth and a country’s development. This increases the need for reliable and viable approaches to assessing the impact of climate risks and potential adaptation scenarios. Political decision-makers in ministries of planning and economy need sound forecasts in order to design and finance adequate economic policy instruments and actively to take countermeasures. In the pilot countries (Georgia, Kazakhstan and Vietnam), climate risk is included in macroeconomic modelling, enabling the results to be integrated into the policy process so as to facilitate adapted economic planning. The IWH team is responsible for macroeconomic modelling in Vietnam.

see project's page on GIZ website

Dr Katja Heinisch

07.2016 ‐ 12.2018

Climate Protection and Coal Phaseout: Political Strategies and Measures up to 2030 and beyond

Dr Katja Heinisch

01.2017 ‐ 12.2017

Support to Sustainable Economic Development in Selected Regions of Uzbekistan

Dr Andrej Drygalla

01.2017 ‐ 12.2017

Short-term Macroeconomic Forecasting Model in Ministry of Economic Development and Trade of Ukraine

Dr Andrej Drygalla

01.2016 ‐ 12.2017

Development of analytical tools based on Input-Output table

The aim of the project was the development of an analytical tool to assess the gains and losses of possible state programs supporting the development of the private sector of the Tajik economy.

Dr Katja Heinisch

11.2015 ‐ 12.2016

Employment and Development in the Republic of Uzbekistan

Support to sustainable economic development in selected regions of Uzbekistan

Dr Katja Heinisch

05.2016 ‐ 05.2016

Framework and Finance for Private Sector Development in Tajikistan

Dr Katja Heinisch

02.2016 ‐ 04.2016

Macroeconomic Reforms and Green Growth - Assessment of economic modelling capacity in Vietnam

Dr Katja Heinisch

10.2015 ‐ 03.2016

Improved Evidence-based Policy Making - GIZ Tadschikistan

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

Dr Katja Heinisch

Refereed Publications

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Inequality in Life and Death

Martin S. Eichenbaum Sergio Rebelo Mathias Trabandt

in: IMF Economic Review, March 2022

Abstract

We argue that the COVID epidemic disproportionately affected the economic well-being and health of poor people. To disentangle the forces that generated this outcome, we construct a model that is consistent with the heterogeneous impact of the COVID recession on low- and high-income people. According to our model, two-thirds of the inequality in COVID deaths reflect preexisting inequality in comorbidity rates and access to quality health care. The remaining third stems from the fact that low-income people work in occupations where the risk of infection is high. Our model also implies that the rise in income inequality generated by the COVID epidemic reflects the nature of the goods that low-income people produce. Finally, we assess the health-income trade-offs associated with fiscal transfers to the poor and mandatory containment policies.

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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.

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(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.

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Switching to Good Policy? The Case of Central and Eastern European Inflation Targeters

Andrej Drygalla

in: Macroeconomic Dynamics, No. 8, 2020

Abstract

The paper analyzes how actual monetary policy changed following the official adoption of inflation targeting in the Czech Republic, Hungary, and Poland and how it affected the volatilities of important macroeconomic variables in the years thereafter. To disentangle the effects of the policy shift from exogenous changes in the volatilities of these variables, a Markov-switching dynamic stochastic general equilibrium model is estimated that allows for regime switches in the policy parameters and the volatilities of shocks hitting the economies. Whereas estimation results reveal periods of high and low volatility for all three economies, the presence of different policy regimes is supported by the underlying data for the Czech Republic and Poland, only. In both economies, monetary policy switched from weak and unsystematic to strong and systematic responses to inflation dynamics. Simulation results suggest that the policy shifts of both central banks successfully reduced inflation volatility in the following years. The observed reduction in output volatility, on the other hand, is attributed more to a reduction in the size of external shocks.

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The Effects of Fiscal Policy in an Estimated DSGE Model – The Case of the German Stimulus Packages During the Great Recession

Andrej Drygalla Oliver Holtemöller Konstantin Kiesel

in: Macroeconomic Dynamics, No. 6, 2020

Abstract

In this paper, we analyze the effects of the stimulus packages adopted by the German government during the Great Recession. We employ a standard medium-scale dynamic stochastic general equilibrium (DSGE) model extended by non-optimizing households and a detailed fiscal sector. In particular, the dynamics of spending and revenue variables are modeled as feedback rules with respect to the cyclical components of output, hours worked and private investment. Based on the estimated rules, fiscal shocks are identified. According to the results, fiscal policy, in particular public consumption, investment, and transfers prevented a sharper and prolonged decline of German output at the beginning of the Great Recession, suggesting a timely response of fiscal policy. The overall effects, however, are small when compared to other domestic and international shocks that contributed to the economic downturn. Our overall findings are not sensitive to considering fiscal foresight.

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Working Papers

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A Federal Long-run Projection Model for Germany

Oliver Holtemöller Maike Irrek Birgit Schultz

in: IWH Discussion Papers, No. 11, 2012

Abstract

Many economic decisions implicitly or explicitly rely on a projection of the medium- or long-term economic development of a country or region. In this paper, we provide a federal long-run projection model for Germany and the German states. The model fea-tures a top-down approach and, as major contribution, uses error correction models to estimate the regional economic development dependent on the national projection. For the medium- and long-term projection of economic activity, we apply a production function approach. We provide a detailed robustness analysis by systematically varying assumptions of the model. Additionally, we explore the effects of different demographic trends on economic development.

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Does Central Bank Staff Beat Private Forecasters?

Makram El-Shagi Sebastian Giesen A. Jung

in: IWH Discussion Papers, No. 5, 2012

Abstract

In the tradition of Romer and Romer (2000), this paper compares staff forecasts of the Federal Reserve (Fed) and the European Central Bank (ECB) for inflation and output with corresponding private forecasts. Standard tests show that the Fed and less so the ECB have a considerable information advantage about inflation and output. Using novel tests for conditional predictive ability and forecast stability for the US, we identify the driving forces of the narrowing of the information advantage of Greenbook forecasts coinciding with the Great Moderation.

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Is East Germany Catching Up? A Time Series Perspective

Bernd Aumann Rolf Scheufele

in: IWH Discussion Papers, No. 14, 2009

Abstract

This paper assesses whether the economy of East Germany is catching up with the West German region in terms of welfare. While the primary measure for convergence and catching up is per capita output, we also look at other macroeconomic indicators such as unemployment rates, wage rates, and production levels in the manufacturingsector. In contrast to existing studies of convergence between regions of reunified Germany, our approach is purely based upon the time series dimension and is thus directly focused on the catching up process in East Germany as a region. Our testing setup includes standard ADF unit root tests as well as unit root tests that endogenously allow for a break in the deterministic component of the process. In our analysis, we find evidence of catching up for East Germany for most of the indicators. However, convergence speed is slow, and thus it can be expected that the catching up process will take further decades until the regional gap is closed.

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Workplace Equipment and Workplace Gap by Gender in East and West Germany

Hans-Ulrich Brautzsch Johann Fuchs Cornelia Lang

in: IWH Discussion Papers, No. 9, 2006

Abstract

In dem vorliegenden Aufsatz werden (a) Umfang und Struktur der vorhandenen Arbeitsplätze nach Geschlechtern in Ost- und Westdeutschland, (b) das geschlechtsspezifische Ausmaß der „Arbeitplatzlücke“ in beiden Großregionen sowie (c) die Ursachen für die – gemessen an Westdeutschland – höhere „Arbeitsplatzlücke“ in Ostdeutschland auf der Grundlage von Daten der Regionalen Volkswirtschaftlichen Gesamtrechnungen und der Bundesgentur für Arbeit untersucht. Die Analyse zeigt, dass im Jahr 2003 die „Arbeitsplatzausstattung“ je 1000 Erwerbsfähigen in Ostdeutschland fast genau so hoch war wie in Westdeutschland. Bei den Frauen lag sie sogar über dem westdeutschen Vergleichswert. Dennoch ist die Diskrepanz zwischen dem Arbeitsangebot und der Nachfrage bei den ostdeutschen Frauen und Männern erheblich größer. Dies ist zum einen auf strukturelle Ursachen und zum anderen auf die höhere Erwerbsneigung der ostdeutschen Frauen zurückzuführen, die insbesonde durch das tradierte Verhaltensmuster nach Erwerbsarbeit sowie die geringeren Haushalteinkommen in Ostdeutschland bedingt ist.

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