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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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IWH-DPE Call for Applications – Fall 2022 Intake
Vacancy IWH-DPE Call for Applications – Fall 2022 Intake We encourage outstanding students with a master degree in economics or related fields, such as mathematics, statistics,…
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IWH-DPE Call for Applications – Fall 2024 Intake
Vacancy The Halle Institute for Economic Research (IWH) is one of Germany’s leading economic research institutes. The IWH focuses on research in macroeconomics, financial…
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Skill Mismatch and the Costs of Job Displacement
Frank Neffke, Ljubica Nedelkoska, Simon Wiederhold
Abstract
Establishment closures have lasting negative consequences for the workers they displace from their jobs. We study how these consequences vary with the amount of skill mismatch that workers experience after job displacement. Developing new measures of occupational skill redundancy and skill shortage, we analyze the work histories of individuals in Germany between 1975 and 2010. We estimate differencein- differences models, using a sample of displaced workers who are matched to statistically similar non-displaced workers. We find that displacements increase the probability of occupational change eleven-fold. Moreover, the magnitude of postdisplacement earnings losses strongly depends on the type of skill mismatch that workers experience in such job switches. Whereas skill shortages are associated with relatively quick returns to the counterfactual earnings trajectories that displaced workers would have experienced absent displacement, skill redundancy sets displaced workers on paths with permanently lower earnings. We show that these differences can be attributed to differences in mismatch after displacement, and not to intrinsic differences between workers making different post-displacement career choices.
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Intuit QuickBooks Small Business Index: A New Employment Series for the US, Canada, and the UK
Ufuk Akcigit, Raman Chhina, Seyit Cilasun, Javier Miranda, Eren Ocakverdi, Nicolas Serrano-Velarde
IWH Discussion Papers,
No. 9,
2023
Abstract
Small and young businesses are essential for job creation, innovation, and economic growth. Even most of the superstar firms start their business life small and then grow over time. Small firms have less internal resources, which makes them more fragile and sensitive to macroeconomic conditions. This suggests the need for frequent and real-time monitoring of the small business sector’s health. Previously this was difficult due to a lack of appropriate data. This paper fills this important gap by developing a new Intuit QuickBooks Small Business Index that focuses on the smallest of small businesses with at most 9 workers in the US and the UK and at most 19 workers in Canada. The Index aggregates a sample of anonymous Quick- Books Online Payroll subscriber data (QBO Payroll sample) from 333,000 businesses in the US, 66,000 in Canada, and 25,000 in the UK. After comparing the QBO Payroll sample data to the official statistics, we remove the seasonal components and use a Flexible Least Squares method to calibrate the QBO Payroll sample data against official statistics. Finally, we use the estimated model and the QBO Payroll sample data to generate a near real-time index of economic activity. We show that the estimated model performs well both in-sample and out-of-sample. Additionally, we use this analysis for different regions and industries. Keywords:
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
Abstract
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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European Real Estate Markets During the Pandemic: Is COVID-19 also a Case for House Price Concerns?
Michael Koetter, Felix Noth
IWH Policy Notes,
No. 3,
2022
Abstract
We use a new database on European real estate purchase and rental prices – the IWH European Real Estate Index – to document the relationship between staggered COVID-19 dynamics and real estate prices in 14 EU countries between January 2020 and December 2021. For most countries, we find no statistically significant response of monthly purchase and rental prices due to an increase of regional COVID-19 cases. For the UK we find that more COVID-19 cases depressed both purchase and rental prices significantly, but the economic magnitude of effects was mild during this sample period. In contrast, rents in Italy increased in response to hiking COVID-19 cases, illustrating the importance to consider heterogeneous crisis patterns across the EU when designing policies. Overall, COVID-19 dynamics did not affect real estate values significantly during the pandemic, thereby mitigating potential financial stability concerns via a mortgage lending channel at the time.
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European Real Estate Prices
Michael Koetter, Felix Noth
IWH Technical Reports,
No. 3,
2022
Abstract
Real estate markets are pivotal to financial stability given their dual role as the underlying asset of crucial financial products in financial systems, such as mortgage loans and asset-backed securities, and the primary source of household wealth alike. As such, they also play traditionally a crucial role for the transmission of monetary policy. Imbalances and sudden corrections in real estate markets have been the root cause of many financial crises over the last decades. But whereas some national, often survey-based indicators of real estate prices are provided by central banks and statistical offices, a comprehensive collection of purchase prices, rents, and proxies for the liquidity of European real estate markets is lacking. The IWH European Real Estate Index (EREI) seeks to fill this void for residential property. This technical report describes the gathering and processing of sale and rental prices for properties in 18 European countries. We provide the general scrapeing step in the section before describing country-specific details for each country in separated sub-sections.
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29.09.2022 • 24/2022
The East German economy expanded strongly in the first half of 2022, but falls into recession in the second half of the year ‒ Implications of the Joint Economic Forecast Autumn 2022 and of Länder data from recent publications of the Statistical Office
The energy crisis is pushing the German economy into recession. This also affects the economy in East Germany. According to the Halle Institute for Economic Research (IWH), East German production will expand at a slightly stronger rate of 1.5% than in Germany as a whole. For the coming year, the decline in East Germany is expected to be less pronounced than in the west at 0.1% (Germany: ‒0.4%). For 2024, the economists forecast a growth of 1.7% (Germany: 1.9%).
Oliver Holtemöller
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BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
No. 18,
2022
Abstract
This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.
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