IWH-CompNet Discussion Papers
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Macroeconomic Effects from Sovereign Risk vs. Knightian Uncertainty ...
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes ...
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Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe
Hannes Böhm, Julia Schaumburg, Lena Tonzer
IMF Economic Review,
December
2022
Abstract
We analyze whether financial integration leads to converging or diverging business cycles using a dynamic spatial model. Our model allows for contemporaneous spillovers of shocks to GDP growth between countries that are financially integrated and delivers a scalar measure of the spillover intensity at each point in time. For a financial network of ten European countries from 1996 to 2017, we find that the spillover effects are positive on average and much larger during periods of financial stress, pointing towards stronger business cycle synchronization. Dismantling GDP growth into value added growth of ten major industries, we observe that spillover intensities vary significantly. The findings are robust to a variety of alternative model specifications.
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Trust and Contracting with Foreign Banks: Evidence from China
Desheng Yin, Iftekhar Hasan, Liuling Liu, Haizhi Wang
Journal of Asian Economics,
December
2022
Abstract
We empirically investigate whether firms doing business in regions characterized as having high social trust receive preferential treatment on loan contractual terms by foreign banks. Tracing cross-border syndicated lending activities in China, we document that firms located in provinces with higher social trust scores obtain significantly low costs of bank loans and experience less stringent collateral requirement. To address the potential endogeneity issues, we adopt an instrumental variable approach and a two-sided matching model, and report consistent results. We also estimate a system of three equations through three-stage-least square estimator to accommodate the joint determination of price and non-price terms in loan contracts. In addition, we find that the effect of social trust on cost of bank loans is more prominent for firms located in provinces with relatively less developed formal institutions.
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BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
Nr. 18,
2022
Abstract
This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.
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The Impact of Active Aggregate Demand on Utilisation-adjusted TFP
Konstantin Gantert
IWH Discussion Papers,
Nr. 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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