Macro Data Download
Macro Data Download On this page, you will find long time series of macroeconomic data provided by IWH for download. Please note that most files come with labels and legends in…
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Offshoring, Domestic Employment and Production. Evidence from the German International Sourcing Survey
Wolfhard Kaus, Markus Zimmermann
IWH Discussion Papers,
No. 14,
2022
Abstract
This paper analyses the effect of offshoring (i.e., the relocation of activities previously performed in-house to foreign countries) on various firm outcomes (domestic employment, production, and productivity). It uses data from the International Sourcing Survey (ISS) 2017 for Germany, linked to other firm level data such as business register and ITGS data. First, we find that offshoring is a rare event: In the sample of firms with 50 or more persons employed, only about 3% of manufacturing firms and 1% of business service firms have performed offshoring in the period 2014-2016. Second, difference-in-differences propensity score matching estimates reveal a negative effect of offshoring on domestic employment and production. Most of this negative effect is not because the offshoring firms shrink, but rather because they don’t grow as fast as the non-offshoring firms. We further decompose the underlying employment dynamics by using direct survey evidence on how many jobs the firms destroyed/created due to offshoring. Moreover, we do not find an effect on labour productivity, since the negative effect on domestic employment and production are more or less of the same size. Third, the German data confirm previous findings for Denmark that offshoring is associated with an increase in the share of ‘produced goods imports’, i.e. offshoring firms increase their imports for the same goods they continue to produce domestically. In contrast, it is not the case that offshoring firms increase the share of intermediate goods imports (a commonly used proxy for offshoring), as defined by the BEC Rev. 5 classification.
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Firm-specific Forecast Errors and Asymmetric Investment Propensity
Manuel Buchholz, Lena Tonzer, Julian Berner
Economic Inquiry,
No. 2,
2022
Abstract
This paper analyzes how firm-specific forecast errors derived from survey data of German manufacturing firms over 2007–2011 relate to firms' investment propensity. Our findings reveal that asymmetries arise depending on the size and direction of the forecast error. The investment propensity declines if the realized situation is worse than expected. However, firms do not adjust investment if the realized situation is better than expected suggesting that the uncertainty component of the forecast error counteracts good surprises of unexpectedly favorable business conditions. This asymmetric mechanism can be one explanation behind slow recovery following crises.
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The Impact of Active Aggregate Demand on Utilisation-adjusted TFP
Konstantin Gantert
IWH Discussion Papers,
No. 9,
2022
Abstract
Non-clearing goods markets are an important driver of capacity utilisation and total factor productivity (TFP). The trade-off between goods prices and household search effort is central to goods market matching and therefore drives TFP over the business cycle. In this paper, I develop a New-Keynesian DSGE model with capital utilisation, worker effort, and expand it with goods market search-and-matching (SaM) to model non-clearing goods markets. I conduct a horse-race between the different capacity utilisation channels using Bayesian estimation and capacity utilisation survey data. Models that include goods market SaM improve the data fit, while the capital utilisation and worker effort channels are rendered less important compared to the literature. It follows that TFP fluctuations increase for demand and goods market mismatch shocks, while they decrease for technology shocks. This pattern increases as goods market frictions increase and as prices become stickier. The paper shows the importance of non-clearing goods markets in explaining the difference between technology and TFP over the business cycle.
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Revealing Corruption: Firm and Worker Level Evidence from Brazil
Emanuele Colonnelli, Spyridon Lagaras, Jacopo Ponticelli, Mounu Prem, Margarita Tsoutsoura
Journal of Financial Economics,
No. 3,
2022
Abstract
We study how the disclosure of corrupt practices affects the growth of firms involved in illegal interactions with the government using randomized audits of public procurement in Brazil. On average, firms exposed by the anti-corruption program grow larger after the audits, despite experiencing a decrease in procurement contracts. We manually collect new data on the details of thousands of corruption cases, through which we uncover a large heterogeneity in our firm-level effects depending on the degree of involvement in corruption. Using investment-, loan-, and worker- level data, we show that the average exposed firms adapt to the loss of government contracts by changing their investment strategy. They increase capital investment and borrow more to finance such investment, while there is no change in their internal organization. We provide qualitative support to our results by conducting new face-to-face surveys with business owners of government-dependent firms.
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(Since when) are East and West German Business Cycles Synchronised?
Stefan Gießler, Katja Heinisch, Oliver Holtemöller
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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Phillips Curve and Output Expectations: New Perspectives from the Euro Zone
Giuliana Passamani, Alessandro Sardone, Roberto Tamborini
DEM Working Papers,
No. 6,
2020
published in: Empirica
Abstract
When referring to the inflation trends over the last decade, economists speak of "puzzles": a “missing disinflation” puzzle in the aftermath of the Great Recession, and a ”missing inflation” one in the years of recovery to nowadays. To this, a specific "excess deflation" puzzle may be added during the post-crisis depression in the Euro Zone. The standard Phillips Curve model, in this context, has failed as the basic tool to produce reliable forecasts of future price developments, leading many scholars to consider this instrument to be no more adequate. The purpose of this paper is to contribute to this literature through the development of a newly specified Phillips Curve model, in which the inflation-expectation component is rationally related to the business cycle. The model is tested with the Euro Zone data 1999-2019 showing that inflation turns out to be consistently determined by output gaps and and experts' survey-based forecast errors, and that the puzzles can be explained by the interplay between these two variables.
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Asymmetric Investment Responses to Firm-specific Forecast Errors
Julian Berner, Manuel Buchholz, Lena Tonzer
Abstract
This paper analyses how firm-specific forecast errors derived from survey data of German manufacturing firms over 2007–2011 affect firms’ investment propensity. Understanding how forecast errors affect firm investment behaviour is key to mitigate economic downturns during and after crisis periods in which forecast errors tend to increase. Our findings reveal a negative impact of absolute forecast errors on investment. Strikingly, asymmetries arise depending on the size and direction of the forecast error. The investment propensity declines if the realised situation is worse than expected. However, firms do not adjust investment if the realised situation is better than expected suggesting that the uncertainty component of the forecast error counteracts positive effects of unexpectedly favorable business conditions. Given that the fraction of firms making positive forecast errors is higher after the peak of the recent financial crisis, this mechanism can be one explanation behind staggered economic growth and slow recovery following crises.
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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
Empirical Economics,
No. 1,
2020
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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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
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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