Within Gain, Structural Pain: Capital Account Liberalization and Economic Growth
Xiang Li, Dan Su
New Structural Economics Working Paper No. E2018010,
2018
Abstract
This paper is the first to study the effects of capital account liberalization on structural transformation and compare the contribution of within term and structural term to economic growth. We use a 10-sector-level productivity dataset to decomposes the effects of opening capital account on within-sector productivity growth and cross-sector structural transformation. We find that opening capital account is associated with labor productivity and employment share increment in sectors with higher human capital intensity and external financial dependence, as well as non-tradable sectors. But it results in a growth-reducing structural transformation by directing labor into sectors with lower productivity. Moreover, in the ten years after capital account liberalization, the contribution share of structural transformation decreases while that of within productivity growth increases. We conclude that the relationship between capital account liberalization and economic growth is within gain and structural pain.
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Crises and Rescues: Liquidity Transmission Through Global Banks
Michael Koetter, Claudia M. Buch, C. T. Koch
International Journal of Central Banking,
Nr. 4,
2018
Abstract
This paper shows that global banks transmit liquidity shocks via their network of foreign affiliates. We use the (unexpected) access of German banks' affiliates located in the United States to the Federal Reserve's Term Auction Facility. We condition on the parent banks' U.S. dollar funding needs in order to examine how affiliates located outside the United States adjusted their balance sheets when the U.S. affiliate of the same parent tapped into TAF liquidity. Our research has three main findings. First, affiliates tied to parents with higher U.S. dollar funding needs expanded their foreign assets during periods of active TAF borrowing. Second, the overall effects are driven by affiliates located in financial centers. Third, U.S.- dollar-denominated lending particularly increased in response to the TAF program.
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What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
Iftekhar Hasan, Roman Horvath, Jan Mares
World Bank Economic Review,
Nr. 2,
2018
Abstract
We examine the effect of finance on long-term economic growth using Bayesian model averaging to address model uncertainty in cross-country growth regressions. The literature largely focuses on financial indicators that assess the financial depth of banks and stock markets. We examine these indicators jointly with newly developed indicators that assess the stability and efficiency of financial markets. Once we subject the finance-growth regressions to model uncertainty, our results suggest that commonly used indicators of financial development are not robustly related to long-term growth. However, the findings from our global sample indicate that one newly developed indicator—the efficiency of financial intermediaries—is robustly related to long-term growth.
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On the Empirics of Reserve Requirements and Economic Growth
Jesús Crespo Cuaresma, Gregor von Schweinitz, Katharina Wendt
Abstract
Reserve requirements, as a tool of macroprudential policy, have been increasingly employed since the outbreak of the great financial crisis. We conduct an analysis of the effect of reserve requirements in tranquil and crisis times on credit and GDP growth making use of Bayesian model averaging methods. In terms of credit growth, we can show that initial negative effects of higher reserve requirements (which are often reported in the literature) tend to be short-lived and turn positive in the longer run. In terms of GDP per capita growth, we find on average a negative but not robust effect of regulation in tranquil times, which is only partly offset by a positive but also not robust effect in crisis times.
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Do Startups Provide Employment Opportunities for Disadvantaged Workers?
Daniel Fackler, Michaela Fuchs, Lisa Hölscher, Claus Schnabel
IZA Discussion Paper Series,
im Erscheinen
Abstract
This paper analyzes whether startups offer job opportunities to workers potentially facing labor market problems. It compares the hiring patterns of startups and incumbents in the period 2003 to 2014 using administrative linked employer-employee data for Germany that allow to take the complete employment biographies of newly hired workers into account. The results indicate that young plants are more likely than incumbents to hire older and foreign applicants as well as workers who have instable employment biographies, come from unemployment or outside the labor force, or were affected by a plant closure. However, an analysis of entry wages reveals that disadvantageous worker characteristics come along with higher wage penalties in startups than in incumbents. Therefore, even if startups provide employment opportunities for certain groups of disadvantaged workers, the quality of these jobs in terms of initial remuneration seems to be low.
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