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International Trade Barriers and Regional Employment: The Case of a No-Deal Brexit
Hans-Ulrich Brautzsch, Oliver Holtemöller
Journal of Economic Structures,
No. 11,
2021
Abstract
We use the World Input–Output Database (WIOD) combined with regional sectoral employment data to estimate the potential regional employment effects of international trade barriers. We study the case of a no-deal Brexit in which imports to the United Kingdom (UK) from the European Union (EU) would be subject to tariffs and non-tariff trade costs. First, we derive the decline in UK final goods imports from the EU from industry-specific international trade elasticities, tariffs and non-tariff trade costs. Using input–output analysis, we estimate the potential output and employment effects for 56 industries and 43 countries on the national level. The absolute effects would be largest in big EU countries which have close trade relationships with the UK, such as Germany and France. However, there would also be large countries outside the EU which would be heavily affected via global value chains, such as China, for example. The relative effects (in percent of total employment) would be largest in Ireland followed by Belgium. In a second step, we split up the national effects on the NUTS-2 level for EU member states and additionally on the county (NUTS-3) level for Germany. The share of affected workers varies between 0.03% and 3.4% among European NUTS-2 regions and between 0.15% and 0.4% among German counties. A general result is that indirect effects via global value chains, i.e., trade in intermediate inputs, are more important than direct effects via final demand.
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The Impact of Risk-based Capital Rules for International Lending on Income Inequality: Global Evidence
Iftekhar Hasan, Gazi Hassan, Suk-Joong Kim, Eliza Wu
Economic Modelling,
May
2021
Abstract
This paper investigates the impact of international bank flows from G10 lender countries on income inequality in 74 borrower countries over 1999–2013. Specifically, we examine the role of international bank flows contingent upon the Basel 2 capital regulation and the level of financial market development in the borrower countries. First, we find that improvements in the borrower country risk weights due to rating upgrades under the Basel 2 framework significantly increase bank flows, leading to improvements in income inequality. Second, we find that the level of financial market development is also important. We report that a well-functioning financial market helps the poor access credit and thereby reduces inequality. Moreover, we employ threshold estimations to identify the thresholds for each of the financial development measures that borrower countries need to reach before realizing the potential reductions in income inequality from international bank financing.
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Does Capital Account Liberalization Affect Income Inequality?
Xiang Li, Dan Su
Oxford Bulletin of Economics and Statistics,
No. 2,
2021
Abstract
By adopting an identification strategy of difference‐in‐difference estimation combined with propensity score matching between liberalized and closed countries, this paper provides robust evidence that opening the capital account is associated with an increase in income inequality in developing countries. Specifically, capital account liberalization, in the long run, is associated with a reduction in the income share of the poorest half by 2.66–3.79% points and an increase in that of the richest 10% by 5.19–8.76% points. Moreover, directions and categories of capital account liberalization matter. The relationship is more pronounced when liberalizing inward and equity capital flows.
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The Real Impact of Ratings-based Capital Rules on the Finance-Growth Nexus
Iftekhar Hasan, Gazi Hassan, Suk-Joong Kim, Eliza Wu
International Review of Financial Analysis,
January
2021
Abstract
We investigate whether ratings-based capital regulation has affected the finance-growth nexus via a foreign credit channel. Using quarterly data on short to medium term real GDP growth and cross-border bank lending flows from G-10 countries to 67 recipient countries, we find that since the implementation of Basel 2 capital rules, risk weight reductions mapped to sovereign credit rating upgrades have stimulated short-term economic growth in investment grade recipients but hampered growth in non-investment grade recipients. The impact of these rating upgrades is strongest in the first year and then reverses from the third year and onwards. On the other hand, there is a consistent and lasting negative impact of risk weight increases due to rating downgrades across all recipient countries. The adverse effects of ratings-based capital regulation on foreign bank credit supply and economic growth are compounded in countries with more corruption and less competitive banking sectors and are attenuated with greater political stability.
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Economy in Shock — Financial Policy is Holding Up
Oliver Holtemöller, Stefan Kooths, Claus Michelsen, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 4,
2020
Abstract
According to the leading German economic research institutes, the German economy is experiencing a drastic slump as a result of the corona pandemic. In order to slow down the wave of infection, the state has severely restricted economic activity in Germany. As a result, GDP is expected to shrink by 4.2% this year. The recession is leaving clear traces on the labour market and the national budget. At its peak, the unemployment rate will soar to 5.9% and the number of short-time workers to 2.4 million. This year, the fiscal policy stabilisation measures will lead to a record deficit in the general government budget of 159 billion euro. After the shutdown, the economy will gradually recover. Accordingly, the increase in GDP next year will be strong at 5.8%. This forecast is associated with considerable downside risks, e.g. because the pandemic can be slowed faster or because the recovery of economic activity will be less successful than expected or there may be a new wave of infection.
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Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions
Christiane Baumeister, James D. Hamilton
Abstract
This paper discusses the problems associated with using information about the signs of certain magnitudes as a basis for drawing structural conclusions in vector autoregressions. We also review available tools to solve these problems. For illustration we use Dahlhaus and Vasishtha's (2019) study of the effects of a U.S. monetary contraction on capital flows to emerging markets. We explain why sign restrictions alone are not enough to allow us to answer the question and suggest alternative approaches that could be used.
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