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Nowcasting East German GDP Growth: a MIDAS Approach

João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
IWH Discussion Papers, Nr. 24, 2019
publiziert in: Empirical Economics
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.
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Should Forecasters Use Real‐time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence

Katja Heinisch, Rolf Scheufele
German Economic Review, Nr. 4, 2019
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.

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How Forecast Accuracy Depends on Conditioning Assumptions

Carola Engelke, Katja Heinisch, Christoph Schult
IWH Discussion Papers, Nr. 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.
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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models

Oliver Holtemöller, Christoph Schult
Historical Social Research, Special Issue: Governing by Numbers 2019
Abstract
In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.
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For How Long Do IMF Forecasts of World Economic Growth Stay Up-to-date?

Katja Heinisch, Axel Lindner
Applied Economics Letters, Nr. 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.
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EFN Report Autumn 2018: Economic Outlook for the Euro Area in 2018 and 2019

EFN Reports, Nr. 3, 2018
Abstract
• Signs of a slowing world economy are piling up: Since the beginning of the year purchasing manager indices have been declining globally, in summer higher US interest rates led investors to withdraw capital from emerging markets, and as a consequence, capital costs rose and currencies depreciated in many emerging markets economies. In October stock prices decreased markedly worldwide including the US, despite the strong upswing in this country. • As a consequence of the turmoil on financial markets, monetary conditions in many emerging economies are no longer favorable. What ultimately counts for the prospects of the global economy, is, however, the performance of the US, the Euro area, China and Japan. The upswing in the US appears stable enough to continue well into 2019. While at present the rest of the group appears to lose momentum, there is a good chance that production in each of these economies will still expand at rates that are close to their potential growth. Further protectionist rounds are the most important risk to this scenario. • In the first half of the current year the euro area economy expanded at a markedly slower rate than in 2017, about 0.4% per quarter, but still substantial. Rising risk premia on Italian assets will probably force banks in this large country to tighten credit conditions, and a slowing world trade will dent export growth. All in all, we expect GDP growth in the euro area to go down from 2.4% in 2017 to 2.0% in 2018 and to 1.7% in 2019. • Employment continues to expand and vacancy rates are at present higher than in 2017. As a consequence, wages rise more quickly: nominal compensations per employee started accelerating early in 2017, and negotiated wages followed at the beginning of 2018. Wage inflation of slightly below 2.5% and healthy growth in employment raise real labor incomes markedly. • Our forecasts are based on the assumption that rating agencies will continue as-signing investment grade to the Italian government debt, and that the Italian government and the European Commission will find a compromise about the draft budget of the country in the coming weeks. Another assumption is that the UK will not exit the EU in an unorderly way in March 2019.
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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models

Oliver Holtemöller, Christoph Schult
IWH Discussion Papers, Nr. 15, 2018
publiziert in: Historical Social Research
Abstract
In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.
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EFN Report Summer 2018: Economic Outlook for the Euro Area in 2018 and 2019

EFN Reports, Nr. 3, 2018
Abstract
• In summer 2018 the cyclical upswing of the world economy is not over, but it appears to be fragmenting. While economic activity in the European Union has lost steam, the upswing in the US has gained pace, and growth in China appears to be robust. • Markets for commodities as well as for capital are at present strongly affected by political movements: oil prices are more than 50% higher than one year ago, as the US exit from the Iran nuclear deal puts the long run oil supply from Iran at risk, and the strongly expansionary US tax reform explains the rise in US long run interest rates. . • Uncertainties about the future international trade system cause firms to slow down or even reverse the globalization of value chains. As an early consequence, world trade in the second half of 2018 and in 2019 will expand at much slower rates than during 2017. • In the euro area growth slowed in the first quarter 2018, due to weaker investment activity in France and Italy and, more importantly, a fall in exports in all larger euro area economies except Spain. However, the drivers of the upswing such as low interest rates for credit and expanding real incomes will still be supportive in the near future, and fiscal policies will be slighly more expansionary. But a slowdown in world trade will dent export growth as well as corporate profits. All in all, we expect GDP growth in the euro area to go down from 2.4% in 2017 to 2.1% in 2018 and to 1.7% in 2019 – a forecast that will only be realized if damages to the international trade system are limited and if the European sovereign debt crisis does not come back. • While wage inflation has been slowly increasing during the past quarters to about 2%, a clear upwards trend of core consumer price inflation is still not detectable. The recent jump of the headline rate to 1.9% is due to higher oil prices. Our forecasts for 2018 and 2019 are close, although still below, 2%.
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EFN Report Spring 2018: Economic Outlook for the Euro Area in 2018 and 2019

EFN Reports, Nr. 2, 2018
Abstract
• The world economy is booming. The global upswing is investment-driven, and since investment goods usually have a large import content, it is no surprise that world trade has been buoyant during winter. The very expansionary US fiscal policy (tax reform and lifting of spending caps) could give an additional shortterm stimulus for the world economy. • However, we forecast world trade to slow down during 2018. The US administration’s announcement of high tariffs on steel and aluminium comes close to triggering a spiral into a broader trade conflict. Moreover, the globalization of value chains has been slowing down since the financial crisis due to the industrial upgrading in China and in other emerging economies that has declined processing trade. In addition, some types of manufacturing jobs have returned to source countries (reshoring) in response to technology innovation and lower labour costs differentials. • The euro area is in the middle of a broad based cyclical upswing. Higher exports and improved expectations have induced firms to invest more into equipment, as capacity utilization has been above average for some time now and is still increasing, and financing costs are very low. However, recent soft indicators, but also industrial production have been surprisingly downbeat, and there was some turbulence in financial markets, which suggests some caution. • The ECB will probably stop its asset purchase program at the end of 2018, but only later in 2019 start raising interest rates. Fiscal policy in the euro area is slightly expansionary this year, and a notable fiscal stimulus in France and in Germany is to be expected for 2019. • Overall, we forecast euro area GDP to expand by 2.2% in 2018 and by 1.6% in 2019. Accelerating wage dynamics will, together with higher price setting powers of firms and the recent increase in oil prices, cause consumer price inflation rising to nearly to 2% in 2019. Uncertainty, is however substantial, as a slight slowdown cannot be ruled out, which would also impact inflation dynamics.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment

Katja Heinisch, Rolf Scheufele
Empirical Economics, Nr. 2, 2018
Abstract
In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.
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