The Impact of Overconfident Customers on Supplier Firm Risks
Journal of Economic Behavior and Organization,
Research has shown that firms with overconfident chief executive officers (CEOs) tend to overinvest and are exposed to high risks due to unrealistically optimistic estimates of their firms’ future performance. This study finds evidence that overconfident CEOs also affect suppliers’ risk taking. Specifically, serving overconfident customers can lead to high supplier risks, measured by stock volatility, idiosyncratic risk, and market risk. The effects are pronounced when customers aggressively invest in research and development (R&D). Our results are robust after addressing self-selection bias and using different CEO overconfidence measures. We also document some real effects of customer CEO overconfidence on suppliers.
student assistant (f/m/x) for 40 hours a month (Macroeconomics)
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IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct...
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
East Germany Rearguard Only investments in education will lead to a further catch-up ...
IWH Alumni The IWH would like to stay in contact with its former employees. We...
30 Years after Reunification, Gross Domestic Product has Served its Purpose as an Indicator
Konferenzband "30 Jahre Deutsche Einheit", März
The comparison of living conditions in East and West Germany is often based on the gross domestic product per inhabitant. However, this measure is not a good welfare indicator in itself. It can be assumed that, measured by the gross domestic product per inhabitant, there will be no further significant equalisation of economic power in East and West Germany in the foreseeable future. This is because the age structure of East Germany, i.e. the ratio of employed persons to inhabitants, is less favourable than in the West. On the other hand, if one looks at important welfare indicators such as consumption opportunities, life expectancy, leisure time and income inequality, living conditions in East and West Germany are more similar than the gross domestic product per inhabitant suggests. In the debates on the catching-up process of East Germany, more emphasis should therefore be placed on labour productivity as a measure of economic strength and on welfare indicators as a measure of the equalisation of living conditions.
Income Inequality and Minority Labor Market Dynamics: Medium Term Effects from the Great Recession
Using a difference-in-differences framework we evaluate the effect that exposure to a bank failure in the Great Recession period had on income inequality. We find that it led to a 1% higher Gini, relative rise of 38 cents for high earners, and 7% decline for lowest earners in treated MSAs. Moreover, we show that blacks saw a decline of 10.2%, Hispanics 9.8%, and whites 5.1% in income. Low income blacks and Hispanics drove much of the effect on inequality.
Intangible Capital and Productivity. Firm-level Evidence from German Manufacturing
IWH Discussion Papers,
We study the importance of intangible capital (R&D, software, patents) for the measurement of productivity using firm-level panel data from German manufacturing. We first document a number of facts on the evolution of intangible investment over time, and its distribution across firms. Aggregate intangible investment increased over time. However, the distribution of intangible investment, even more so than that of physical investment, is heavily right-skewed, with many firms investing nothing or little, and a few firms having very large intensities. Intangible investment is also lumpy. Firms that invest more intensively in intangibles (per capita or as sales share) also tend to be more productive. In a second step, we estimate production functions with and without intangible capital using recent control function approaches to account for the simultaneity of input choice and unobserved productivity shocks. We find a positive output elasticity for research and development (R&D) and, to a lesser extent, software and patent investment. Moreover, the production function estimates show substantial heterogeneity in the output elasticities across industries and firms. While intangible capital has small effects for firms with low intangible intensity, there are strong positive effects for high-intensity firms. Finally, including intangibles in a gross output production function reduces productivity dispersion (measured by the 90-10 decile range) on average by 3%, in some industries as much as nearly 9%.