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Medienecho-Archiv 2021 2020 2019 2018 2017 2016 Dezember 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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IWH-Insolvenztrend: Höchster Oktoberwert seit 20 Jahren Deutlich schneller als die amtliche Statistik liefert das IWH jeden Monat ein Lagebild vom bundesweiten Insolvenzgeschehen.…
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Logo und Farben
IWH-Logo und IWH-Farben 1. Logo 1.1 Wort-Bild-Marke 1.2 Varianten 1.2.1 Signet 1.2.2 Horizontale Varianten 1.2.3 Negative Varianten 2. IWH-Farben 1. Logo 1.1 Wort-Bild-Marke 1.1.1…
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DPE Course Programme Archive
DPE Course Programme Archive 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2024 Presenting and Writing about your Research Tim Korver October 14-15, 2024 (IWH)…
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Courses
Courses Courses are organised in coordination with partner institutions within the Central-German Doctoral Program Economics (CGDE) network. IWH organises First-Year Courses in…
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W1 Assistant Professor (f/m/d) in Macroeconomics, Productivity Dynamics
Stellenausschreibung W1 Assistant Professor (f/m/d) in Macroeconomics, Productivity Dynamics The Faculty of Economics and Business Administration at the Friedrich Schiller…
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W1 Assistant Professor (f/m/d) in Finance and Labor
Stellenausschreibung W1 Assistant Professor (f/m/d) in Finance and Labor The Faculty of Economics and Business Administration at the Friedrich Schiller University Jena and the…
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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,
Nr. 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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Committing to Grow: Employment Targets and Firm Dynamics
Ufuk Akcigit, Harun Alp, André Diegmann, Nicolas Serrano-Velarde
IWH Discussion Papers,
Nr. 17,
2023
Abstract
We examine effects of government-imposed employment targets on firm behavior. Theoretically, such policies create “polarization,“ causing low-productivity firms to exit the market while others temporarily distort their employment upward. Dynamically, firms are incentivized to improve productivity to meet targets. Using novel data from East German firms post-privatization, we find that firms with binding employment targets experienced 25% higher annual employment growth, a 1.1% higher annual exit probability, and 10% higher annual productivity growth over the target period. Structural estimates reveal substantial misallocation of labor across firms and that subsidizing productivity growth would yield twice the long term increases in employment.
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Study Programme
Study Programme The course programme is a structured curriculum that provides doctoral students with an outstanding training. The programme comprises mandatory First-Year Courses…
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