Firm-specific Forecast Errors and Asymmetric Investment Propensity
Manuel Buchholz, Lena Tonzer, Julian Berner
Economic Inquiry,
im Erscheinen
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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Social Capital, Trusting, and Trustworthiness: Evidence from Peer-to-Peer Lending
Iftekhar Hasan, Qing He, Haitian Lu
Journal of Financial and Quantitative Analysis,
Nr. 4,
2022
Abstract
How does social capital affect trust? Evidence from a Chinese peer-to-peer lending platform shows regional social capital affects the trustee’s trustworthiness and the trustor’s trust propensity. Ceteris paribus, borrowers from higher social capital regions receive larger bid from individual lenders, have higher funding success, larger loan size, and lower default rates, especially for low-quality borrowers. Lenders from higher social capital regions take higher risks and have higher default rates, especially for inexperienced lenders. Cross-regional transactions are most (least) likely to be realized between parties from high (low) social capital regions.
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Offshoring, Domestic Employment and Production. Evidence from the German International Sourcing Survey
Wolfhard Kaus, Markus Zimmermann
IWH Discussion Papers,
Nr. 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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Non-Standard Errors
Albert J. Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Markus Kirchler, Sebastian Neusüss, Michael Razen, Utz Weitzel, et al.
IWH Discussion Papers,
Nr. 11,
2021
Abstract
In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
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The Macroeconomics of Epidemics
Martin S. Eichenbaum, Sergio Rebelo, Mathias Trabandt
Review of Financial Studies,
Nr. 11,
2021
Abstract
We extend the canonical epidemiology model to study the interaction between economic decisions and epidemics. Our model implies that people cut back on consumption and work to reduce the chances of being infected. These decisions reduce the severity of the epidemic but exacerbate the size of the associated recession. The competitive equilibrium is not socially optimal because infected people do not fully internalize the effect of their economic decisions on the spread of the virus. In our benchmark model, the best simple containment policy increases the severity of the recession but saves roughly half a million lives in the United States.
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Explaining Wage Losses After Job Displacement: Employer Size and Lost Firm Wage Premiums
Daniel Fackler, Steffen Müller, Jens Stegmaier
Journal of the European Economic Association,
Nr. 5,
2021
Abstract
This paper investigates whether wage losses after job displacement are driven by lost firm wage premiums or worker productivity depreciations. We estimate losses in wages and firm wage premiums, the latter being measured as firm effects from a two-way fixed-effects wage decomposition. Using new German administrative data on displacements from small and large employers, we find that wage losses are to a large extent explained by losses in firm wage premiums and that premium losses are largely permanent. We show that losses strongly increase with pre-displacement employer size. This provides an explanation for large and persistent wage losses reported in previous displacement studies typically focusing on large employers, only.
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06.10.2021 • 24/2021
IWH-Insolvenztrend: Insolvenzzahlen bleiben niedrig, mehr Industriejobs von Insolvenz betroffen
Die Anzahl der Insolvenzen von Personen- und Kapitalgesellschaften verharrte im September in der Nähe der historischen Tiefststände. Die Zahl der betroffenen Jobs im Verarbeitenden Gewerbe stieg dagegen deutlich an. Das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) liefert mit dem IWH-Insolvenztrend ein monatliches Update zum bundesweiten Insolvenzgeschehen.
Steffen Müller
Pressemitteilung lesen
Startseite
Gefahr einer Gaslücke deutlich verringert – Versorgungsrisiken bleiben Die Wahrscheinlichkeit einer Versorgungslücke mit...
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The Nexus between Loan Portfolio Size and Volatility: Does Bank Capital Regulation Matter?
Franziska Bremus, Melina Ludolph
Journal of Banking and Finance,
June
2021
Abstract
This paper analyzes the effects of bank capital regulation on the link between bank size and volatility. Using bank-level data for 27 advanced economies over the 2000–2014 period, we estimate a power law that relates the volume of a bank’s loan portfolio to the volatility of loan growth. Our analysis reveals, first, that more stringent capital regulation weakens the size-volatility nexus. Hence, in countries with more stringent capital regulation, large banks show, ceteris paribus, lower loan portfolio volatility. Second, the effect of tighter capital requirements on the size-volatility nexus becomes stronger for the upper tail of the bank size distribution. This is in line with capitalization decreasing with bank size, such that larger banks tend to be more affected by increasing capital requirements. Third, in countries with higher sectoral capital buffers, the size-volatility nexus is weaker.
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IWH-Insolvenzforschung
IWH-Insolvenzforschung Die IWH-Insolvenzforschungsstelle bündelt die...
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