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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Sticky Prices or Sticky Wages? An Equivalence Result

Florin Bilbiie Mathias Trabandt

in: Review of Economics and Statistics, forthcoming

Abstract

<p>We show an equivalence result in the standard representative agent New Keynesian model after demand, wage markup and correlated price markup and TFP shocks: assuming sticky prices and flexible wages yields identical allocations for GDP, consumption, labor, inflation and interest rates to the opposite case- flexible prices and sticky wages. This equivalence result arises if the price and wage Phillips curves' slopes are identical and generalizes to any pair of price and wage Phillips curve slopes such that their sum and product are identical. Nevertheless, the cyclical implications for profits and wages are substantially different. We discuss how the equivalence breaks when these factor-distributional implications matter for aggregate allocations, e.g. in New Keynesian models with heterogeneous agents, endogenous firm entry, and non-constant returns to scale in production. Lastly, we point to an econometric identification problem raised by our equivalence result and discuss possible solutions thereof.</p>

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Transparency and Forecasting: The Impact of Conditioning Assumptions on Forecast Accuracy

Katja Heinisch Christoph Schult Carola Stapper

in: Applied Economic Letters, forthcoming

Abstract

<p>This study investigates the impact of inaccurate assumptions on economic forecast precision. We construct a new dataset comprising an unbalanced panel of annual German GDP forecasts from various institutions, taking into account their underlying assumptions. We explicitly control for different forecast horizons to reflect the information available at the time of release. Our analysis reveals that approximately 75% of the variation in squared forecast errors can be attributed to the variation in squared errors of the initial assumptions. This finding emphasizes the importance of accurate assumptions in economic forecasting and suggests that forecasters should transparently disclose their assumptions to enhance the usefulness of their forecasts in shaping effective policy recommendations.</p>

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Step by Step ‒ A Quarterly Evaluation of EU Commission's GDP Forecasts

Katja Heinisch

in: Journal of Forecasting, forthcoming

Abstract

<p>The European Commission’s growth forecasts play a crucial role in shaping policies and provide a benchmark for many (national) forecasters. The annual forecasts are built on quarterly estimates, which do not receive much attention and are hardly known. Therefore, this paper provides a comprehensive analysis of multi-period ahead quarterly GDP growth forecasts for the European Union (EU), euro area, and several EU member states with respect to first-release and current-release data. Forecast revisions and forecast errors are analyzed, and the results show that the forecasts are not systematically biased. However, GDP forecasts for several member states tend to be overestimated at short-time horizons. Furthermore, the final forecast revision in the current quarter is generally downward biased for almost all countries. Overall, the differences in mean forecast errors are minor when using real-time data or pseudo-real-time data and these differences do not significantly impact the overall assessment of the forecasts’ quality. Additionally, the forecast performance varies across countries, with smaller countries and Central and Eastern European countries (CEECs) experiencing larger forecast errors. The paper provides evidence that there is still potential for improvement in forecasting techniques both for nowcasts but also forecasts up to eight quarters ahead. In the latter case, the performance of the mean forecast tends to be superior for many countries.</p>

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The Effects of the Iberian Exception Mechanism on Wholesale Electricity Prices and Consumer Inflation: A Synthetic-controls Approach

Miguel Haro Ruiz Christoph Schult Christoph Wunder

in: Applied Economic Letters, forthcoming

Abstract

This study employs synthetic control methods to estimate the effect of the Iberian exception mechanism on wholesale electricity prices and consumer inflation, for both Spain and Portugal. We find that the intervention led to an average reduction of approximately 40% in the spot price of electricity between July 2022 and June 2023 in both Spain and Portugal. Regarding overall inflation, we observe notable differences between the two countries. In Spain, the intervention has an immediate effect, and results in an average decrease of 3.5 percentage points over the twelve months under consideration. In Portugal, however, the impact is small and generally close to zero. Different electricity market structures in each country are a plausible explanation.

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Regional Industrial Effects in Germany from a Potential Gas Deficit

Robert Lehmann Christoph Schult

in: German Economic Review, No. 3, 2024

Abstract

<p>We estimate potential regional industrial effects in case of a threatening gas deficit. For Germany, the reduction leads to a potential decrease in industrial value added by 1.6 %. The heterogeneity across German states is remarkable, ranging from 2.2 % for Rhineland-Palatinate to 0.7 % for Hamburg. We emphasize the need for regional input-output tables to conduct economic analysis on a sub-national level, particularly when regional industrial structures are heterogeneous. The approximation with national figures can lead to results that differ both in magnitude and relative regional exposure. Our findings highlight that more accurate policy guidance can be achieved by improving the regional database.</p>

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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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