Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks
Steffen Müller, Jens Stegmaier, Moises Yi
Journal of Labor Economics,
No. 3,
2024
Abstract
We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.
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12.03.2024 • 8/2024
Risk in the banking sector: four out of ten top supervisors come from the financial industry
Europe's banks realise excess returns on the stock market when their alumni join the boards of national supervisory authorities. A study by the Halle Institute for Economic Research (IWH) shows that this happens more frequently than previously recognised. The findings indicate a risk to financial stability and call for a more merit-based, transparent appointment of senior regulators.
Michael Koetter
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Trade Shocks, Labour Markets and Migration in the First Globalisation
Richard Bräuer, Felix Kersting
Economic Journal,
No. 657,
2024
Abstract
This paper studies the economic and political effects of a large trade shock in agriculture—the grain invasion from the Americas—in Prussia during the first globalisation (1870–913). We show that this shock led to a decline in the employment rate and overall income. However, we do not observe declining per capita income and political polarisation, which we explain by a strong migration response. Our results suggest that the negative and persistent effects of trade shocks we see today are not a universal feature of globalisation, but depend on labour mobility. For our analysis, we digitise data from Prussian industrial and agricultural censuses on the county level and combine them with national trade data at the product level. We exploit the cross-regional variation in cultivated crops within Prussia and instrument with Italian and United States trade data to isolate exogenous variation.
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The Reverse Revolving Door in the Supervision of European Banks
Stefano Colonnello, Michael Koetter, Alex Sclip, Konstantin Wagner
IWH Discussion Papers,
No. 25,
2023
Abstract
We show that around one third of executive directors on the boards of national supervisory authorities (NSA) in European banking have an employment history in the financial industry. The appointment of executives without a finance background associates with negative valuation effects. Appointments of former bankers, in turn, spark positive stock market reactions. This „proximity premium“ of supervised banks is a more likely driver of positive valuation effects than superior financial expertise or intrinsic skills of former executives from the financial industry. Prior to the inception of the European Single Supervisory Mechanism, the presence of former financial industry executives on the board of NSA associates with lower regulatory capital and faster growth of banks, pointing to a more lenient supervisory style.
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IWH Macrometer
IWH Macrometer Macroeconomic Database for the German Länder, East and West Germany The data offered by the IWH Macrometer consists of two parts: (1) interactive macro data and (2)…
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Archive
Media Response Archive 2021 2020 2019 2018 2017 2016 December 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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Macro data interactive
Macro data interactive This service provides time series from official publications (Statistisches Bundesamt [German Federal Statistical Office], Arbeitskreis Volkswirtschaftliche…
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Economic Outlook
Joint Economic Forecast Autumn 2024 German economy in transition ‒ weak momentum, low potential growth September 26, 2024 The Joint Economic Forecast Project Group forecasts a…
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"Let Me Get Back to You" — A Machine Learning Approach to Measuring NonAnswers
Andreas Barth, Sasan Mansouri, Fabian Wöbbeking
Management Science,
No. 10,
2023
Abstract
Using a supervised machine learning framework on a large training set of questions and answers, we identify 1,364 trigrams that signal nonanswers in earnings call questions and answers (Q&A). We show that this glossary has economic relevance by applying it to contemporaneous stock market reactions after earnings calls. Our findings suggest that obstructing the flow of information leads to significantly lower cumulative abnormal stock returns and higher implied volatility. As both our method and glossary are free of financial context, we believe that the measure is applicable to other fields with a Q&A setup outside the contextual domain of financial earnings conference calls.
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East Germany
The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the West Dossier In a nutshell The East German economic convergence process is hardly…
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