Econometric Tools for Macroeconomic Forecasting and Simulation
The aim of this research group is to enhance research on, and development, implementation, evaluation, and application of quantitative macroeconometric models for forecasting and analysing aggregate economic fluctuations and developments. Research in this group contributes to the econometric foundation and the methodological improvements of the IWH forecasts. During the last years, the IWH has highly specialised in macroeconomic modelling, both for flash estimates and medium-term projections. Furthermore, this group conducts comprehensive empirical analysis and develops econometric tools that are used for third-party funded projects. In the last years, particular models have been developed for e.g. Volkswagen Financial Services AG and for GIZ. The research group contributed in particular on macroeconomic modelling for ministries in Kyrgyzstan and Tajikistan as well as for the institute of forecasting and macroeconomic research (IFMR) Uzbekistan.
IWH Data Project: IWH Real-time Database
Research Cluster
Economic Dynamics and StabilityYour contact
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..
10.2019 ‐ 01.2023
Climate Resilient Economic Development
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
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.
05.2020 ‐ 09.2023
ENTRANCES: Energy Transitions from Coal and Carbon: Effects on Societies
European Commission
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?
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 883947.
01.2018 ‐ 12.2023
EuropeAid (EU Framework Contract)
European Commission
07.2016 ‐ 12.2018
Climate Protection and Coal Phaseout: Political Strategies and Measures up to 2030 and beyond
Umweltbundesamt (UBA)
01.2017 ‐ 12.2017
Support to Sustainable Economic Development in Selected Regions of Uzbekistan
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
01.2017 ‐ 12.2017
Short-term Macroeconomic Forecasting Model in Ministry of Economic Development and Trade of Ukraine
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
01.2016 ‐ 12.2017
Development of analytical tools based on Input-Output table
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
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.
11.2015 ‐ 12.2016
Employment and Development in the Republic of Uzbekistan
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
Support to sustainable economic development in selected regions of Uzbekistan
05.2016 ‐ 05.2016
Framework and Finance for Private Sector Development in Tajikistan
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
02.2016 ‐ 04.2016
Macroeconomic Reforms and Green Growth - Assessment of economic modelling capacity in Vietnam
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
Refereed Publications
Fiscal Spending Multiplier Calculations Based on Input-Output Tables? An Application to EU Member States
in: Intervention. European Journal of Economics and Economic Policies, No. 1, 2012
Abstract
Fiscal spending multiplier calculations have attracted considerable attention in the aftermath of the global financial crisis. Much of the current literature is based on VAR estimation methods and DSGE models. In line with the Keynesian literature we argue that many of these models probably underestimate the fiscal spending multiplier in recessions. The income-expenditure model of the fiscal spending multiplier can be seen as a good approximation under these circumstances. In its conventional form this model suffers from an underestimation of the multiplier due to an overestimation of the import intake of domestic absorption. In this article we apply input-output calculus to solve this problem. Multipliers thus derived are comparably high, ranging between 1.4 and 1.8 for many member states of the European Union. GDP drops due to budget consolidation might therefore be substantial in times of crisis.
The Halle Economic Projection Model
in: Economic Modelling, No. 4, 2012
Abstract
In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.
The Performance of Short-term Forecasts of the German Economy before and during the 2008/2009 Recession
in: International Journal of Forecasting, No. 2, 2012
Abstract
The paper analyzes the forecasting performance of leading indicators for industrial production in Germany. We focus on single and pooled leading indicator models both before and during the financial crisis. Pairwise and joint significant tests are used to evaluate single indicator models as well as forecast combination methods. In addition, we investigate the stability of forecasting models during the most recent financial crisis.
The Financial Crisis from a Forecaster's Perspective
in: Kredit und Kapital, No. 1, 2012
Abstract
This paper analyses the recession in 2008/2009 in Germany. This recession is very different from previous recessions in particular regarding their causes and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts withthe best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts in the crisis compared to indicator forecasts is small.
An Evolutionary Algorithm for the Estimation of Threshold Vector Error Correction Models
in: International Economics and Economic Policy, No. 4, 2011
Abstract
We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables. Since disregarding a threshold in cointegration models renders standard approaches to the estimation of the cointegration vectors inefficient, TVECM necessitate a simultaneous estimation of the cointegration vector(s) and the threshold. As far as two cointegrated variables are considered, this is commonly achieved by a grid search. However, grid search quickly becomes computationally unfeasible if more than two variables are cointegrated. Therefore, the likelihood function has to be maximized using heuristic approaches. Depending on the precise problem structure the evolutionary approach developed in the present paper for this purpose saves 90 to 99 per cent of the computation time of a grid search.
Working Papers
Disentangling Covid-19, Economic Mobility, and Containment Policy Shocks
in: IWH Discussion Papers, No. 2, 2021
Abstract
We study the dynamic impact of Covid-19, economic mobility, and containment policy shocks. We use Bayesian panel structural vector autoregressions with daily data for 44 countries, identified through sign and zero restrictions. Incidence and mobility shocks raise cases and deaths significantly for two months. Restrictive policy shocks lower mobility immediately, cases after one week, and deaths after three weeks. Non-pharmaceutical interventions explain half of the variation in mobility, cases, and deaths worldwide. These flattened the pandemic curve, while deepening the global mobility recession. The policy tradeoff is 1 p.p. less mobility per day for 9% fewer deaths after two months.
Exchange Rates and the Information Channel of Monetary Policy
in: IWH Discussion Papers, No. 17, 2020
Abstract
We disentangle the effects of monetary policy announcements on real economic variables into an interest rate shock component and a central bank information shock component. We identify both components using changes in interest rate futures and in exchange rates around monetary policy announcements. While the volatility of interest rate surprises declines around the Great Recession, the volatility of exchange rate changes increases. Making use of this heteroskedasticity, we estimate that a contractionary interest rate shock appreciates the dollar, increases the excess bond premium, and leads to a decline in prices and output, while a positive information shock appreciates the dollar, decreases prices and the excess bond premium, and increases output.
Integrated Assessment of Epidemic and Economic Dynamics
in: IWH Discussion Papers, No. 4, 2020
Abstract
In this paper, a simple integrated model for the joint assessment of epidemic and economic dynamics is developed. The model can be used to discuss mitigation policies like shutdown and testing. Since epidemics cause output losses due to a reduced labor force, temporarily reducing economic activity in order to prevent future losses can be welfare enhancing. Mitigation policies help to keep the number of people requiring intensive medical care below the capacity of the health system. The optimal policy is a mixture of temporary partial shutdown and intensive testing and isolation of infectious persons for an extended period of time.
How Forecast Accuracy Depends on Conditioning Assumptions
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.
Progressive Tax-like Effects of Inflation: Fact or Myth? The U.S. Post-war Experience
in: IWH Discussion Papers, No. 33, 2017
Abstract
Inflation and earnings growth can push some tax payers into higher brackets in the absence of inflation-indexed schedules. Moreover, inflation may affect the composition of individuals’ income sources. As a result, depending on the relative tax burden of labour and capital, inflation may decrease or increase the difference between before-tax and after-tax income. However, whether some and if so which percentiles of the income distribution net benefit from inflation via taxation is a widely unexplored question. We make use of a novel dataset on U.S. pre-tax and post-tax income distribution series provided by Pike ty et al. (2018) for the years 1962 to 2014 to answer this question. To this end, we estimate local projections to quantify dynamic effects. We find that inflation shocks increase progressivity of taxation not only contemporaneously but also with some repercussion of several years after the shock. While particularly the bottom two quintiles gain in share, it is not the top but the fourth quintile that lastingly loses.