The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the...
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Productivity: More with Less by Better Available resources are scarce. To sustain our...
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The Impact of Active Aggregate Demand on Utilisation-adjusted TFP
IWH Discussion Papers,
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.
The Effect of Language on Investing: Evidence from Searches in Chinese Versus English
Pacific-Basin Finance Journal,
This study examines the language effect on investing behavior in local stock markets for local- and foreign-language investors using Google search records. First, we find that attention to a local language stimulates attention to a foreign language, increases abnormal news coverage, and has better predictability on stock returns. Second, investors who do Google searches in the local language react faster to a news event's shock than those who search in the foreign language. Third, only attention to the local language can reduce the price drift of an earnings surprise. Last, firm-level information asymmetry is a channel for local advantage. Therefore, we suggest that investors who use a stock market's local language have a local advantage when seeking more profitable investment opportunities in that stock market.
What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Journal of Corporate Finance,
This paper uses loan application-level data from a peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we provide evidence of monetary policy's impact on a nonbank financial institution's risk-taking. We find that the search-for-yield is the main driving force of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and greater riskiness of credit allocation. However, these changes do not necessarily relate to a larger loan amount on average.
Do Digital Information Technologies Help Unemployed Job Seekers Find a Job? Evidence from the Broadband Internet Expansion in Germany
European Economic Review,
This paper studies effects of the introduction of a new digital mass medium on reemployment of unemployed job seekers. We combine data on high-speed (broadband) internet availability at the local level with German individual register data. We address endogeneity by exploiting technological peculiarities that affected the roll-out of high-speed internet. The results show that high-speed internet improves reemployment rates after the first months in unemployment. This is confirmed by complementary analyses with individual survey data suggesting that internet access increases online job search and the number of job interviews after a few months in unemployment.