Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
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Brown Bag Seminar
Brown Bag Seminar Financial Markets Department In der Seminarreihe "Brown Bag Seminar" stellten Mitarbeiterinnen und Mitarbeiter der Abteilung Finanzmärkte und deren…
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People
People Job Market Candidates Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Job Market Candidates Tommaso Bighelli Job market paper: "The…
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DPE Course Programme Archive
DPE Course Programme Archive 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2023 Microeconomics several lecturers winter term 2023/2024 (IWH) Econometrics several…
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Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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Understanding Post-Covid Inflation Dynamics
Martín Harding, Jesper Lindé, Mathias Trabandt
Abstract
We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. The nonlinear Phillips curve in our model arises due to a quasi-kinked demand schedule for goods produced by firms. Our model can jointly account for the modest decline in inflation during the Great Recession and the surge in inflation during the Post-Covid period. Because our model implies a stronger transmission of shocks when inflation is high, it generates conditional heteroscedasticity in inflation and inflation risk. Hence, our model can generate more sizeable inflation surges due to cost-push and demand shocks than a standard linearized model. Finally, our model implies that the central bank faces a more severe trade-off between inflation and output stabilization when inflation is high.
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Offshoring, Domestic Employment and Production. Evidence from the German International Sourcing Survey
Wolfhard Kaus, Markus Zimmermann
IWH Discussion Papers,
Nr. 14,
2022
Abstract
This paper analyses the effect of offshoring (i.e., the relocation of activities previously performed in-house to foreign countries) on various firm outcomes (domestic employment, production, and productivity). It uses data from the International Sourcing Survey (ISS) 2017 for Germany, linked to other firm level data such as business register and ITGS data. First, we find that offshoring is a rare event: In the sample of firms with 50 or more persons employed, only about 3% of manufacturing firms and 1% of business service firms have performed offshoring in the period 2014-2016. Second, difference-in-differences propensity score matching estimates reveal a negative effect of offshoring on domestic employment and production. Most of this negative effect is not because the offshoring firms shrink, but rather because they don’t grow as fast as the non-offshoring firms. We further decompose the underlying employment dynamics by using direct survey evidence on how many jobs the firms destroyed/created due to offshoring. Moreover, we do not find an effect on labour productivity, since the negative effect on domestic employment and production are more or less of the same size. Third, the German data confirm previous findings for Denmark that offshoring is associated with an increase in the share of ‘produced goods imports’, i.e. offshoring firms increase their imports for the same goods they continue to produce domestically. In contrast, it is not the case that offshoring firms increase the share of intermediate goods imports (a commonly used proxy for offshoring), as defined by the BEC Rev. 5 classification.
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Bank Failures, Local Business Dynamics, and Government Policy
Salvador Contreras, Manthos D. Delis, Amit Ghosh, Iftekhar Hasan
Small Business Economics,
Nr. 4,
2022
Abstract
Using MSA-level data over 1994–2014, we study the effect of bank failures on local business dynamics, in the form of net business formation and net job creation. We find that at least one bank failure in the metropolitan statistical area (MSA) with the mean population prevents approximately 475 net businesses from forming in that area, compared with MSAs that experience no bank failures, ceteris paribus. The equivalent effect on net job creation is 16,433 net job losses. Our results are even stronger for small businesses, which are usually more dependent on bank-firm relationships. These effects point to significant welfare losses stemming from bank failures, highlighting an important role for government intervention. We show that the Troubled Asset Relief Program (TARP) is effective in reducing the negative effects of bank failures on local business dynamics. This positive effect of TARP is quite uniform across small and large firms.
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Measuring the Impact of Household Innovation Using Administrative Data
Javier Miranda, Nikolas Zolas
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
We link USPTO patent data to U.S. Census Bureau administrative records on individuals and firms. The combined dataset provides us with a directory of patenting household inventors as well as a time-series directory of self-employed businesses tied to household innovations. We describe the characteristics of household inventors by race, age, gender and U.S. origin, as well as the types of patented innovations pursued by these inventors. Business data allows us to highlight how patents shape the early life-cycle dynamics of nonemployer businesses. We find household innovators are disproportionately U.S. born, white and their age distribution has thicker tails relative to business innovators. Data shows there is a deficit of female and black inventors. Household inventors tend to work in consumer product areas compared to traditional business patents. While patented household innovations do not have the same impact of business innovations their uniqueness and impact remains surprisingly high. Back of the envelope calculations suggest patented household innovations granted between 2000 and 2011 might generate $5.0B in revenue (2000 dollars).
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