Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
Nr. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects
Sven Resnjanskij, Jens Ruhose, Simon Wiederhold, Ludger Woessmann, Katharina Wedel
Journal of Political Economy,
Nr. 3,
2024
Abstract
We study a mentoring program that aims to improve the labor-market prospects of school-attending adolescents from disadvantaged families by offering them a university-student mentor. Our RCT investigates program effectiveness on three outcome dimensions that are highly predictive of later labor-market success: math grades, patience/social skills, and labor-market orientation. For low-SES adolescents, the mentoring increases a combined index of the outcomes by over half a standard deviation after one year, with significant increases in each dimension. Part of the treatment effect is mediated by establishing mentors as attachment figures who provide guidance for the future. Effects on grades and labor-market orientation, but not on patience/social skills, persist three years after program start. By that time, the mentoring also improves early realizations of school-to-work transitions for low-SES adolescents. The mentoring is not effective for higher-SES adolescents. The results show that substituting lacking family support by other adults can help disadvantaged children at adolescent age.
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Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
Shai B. Bernstein, Richard R. Townsend, Ting Xu
Review of Financial Studies,
Nr. 3,
2024
Abstract
Using proprietary data from AngelList Talent, we study how startup job seekers’ search and application behavior changed during the COVID-19 downturn. We find that workers shifted their searches and applications away from less-established startups and toward more-established ones, even within the same individual over time. At the firm level, this shift was not offset by an influx of new job seekers. Less-established startups experienced a relative decline in the quantity and quality of applications, ultimately affecting their hiring. Our findings uncover a flight-to-safety channel in the labor market that may amplify the procyclical nature of entrepreneurial activities.
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Zentrum für evidenzbasierte Politikberatung
Zentrum für evidenzbasierte Politikberatung (IWH-CEP) Das Zentrum für evidenzbasierte Politikberatung des IWH (IWH-CEP) wurde im Jahr 2014 gegründet. Die Plattform bündelt und…
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The Effects of the Iberian Exception Mechanism on Wholesale Electricity Prices and Consumer Inflation: A Synthetic-controls Approach
Miguel Haro Ruiz, Christoph Schult, Christoph Wunder
Abstract
This study employs synthetic control methods to estimate the effect of the Iberian exception mechanism on wholesale electricity prices and consumer inflation, for both Spain and Portugal. We find that the intervention led to an average reduction of approximately 40% in the spot price of electricity between July 2022 and June 2023 in both Spain and Portugal. Regarding overall inflation, we observe notable differences between the two countries. In Spain, the intervention has an immediate effect, and results in an average decrease of 3.5 percentage points over the twelve months under consideration. In Portugal, however, the impact is small and generally close to zero. Different electricity market structures in each country are a plausible explanation.
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PhD Graduates Financial Markets
PhD Graduates of the Department of Financial Markets Eleonora Sfrappini: "Four Essays on Banking, Climate Risks and Financial Regulation" (2024) Willam McShane: "The Competitive…
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Global Banks and Synthetic Funding: The Benefits of Foreign Relatives
Fernando Eguren-Martin, Matias Ossandon Busch, Dennis Reinhardt
Journal of Money, Credit and Banking,
Nr. 1,
2024
Abstract
Abstract This paper examines the effect of dislocations in foreign currency (FX) swap markets ("CIP deviations") on bank lending. Using data from UK banks we show that when the cost of obtaining swap-based funds in a particular foreign currency increases, banks reduce the supply of cross-border credit in that currency. This effect is increasing in the degree of banks' reliance on swap-based FX funding. Access to foreign relatives matters as banks employ internal capital markets to shield their cross-border FX lending supply from the described channel. Partial substitution occurs from banks outside the UK not affected by changes in synthetic funding costs.
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IWH-DPE Call for Applications
IWH-DPE Call for Applications About the IWH Doctoral Programme in Economics The IWH Doctoral Programme in Economics (IWH-DPE) is a rigorous structured four-year PhD programme with…
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Labor Market Polarization and Student Debt
Sanket Korgaonkar, Elena Loutskina, Constantine Yannelis
SSRN Working Paper,
2024
Abstract
This paper uses a new empirical design to explore how labor market polarization affects individuals’ incentive to pursue education funded on the margin by student debt. We argue that the labor market polarization–where automation replaces mid-skill and mid-education-level job–changes the marginal benefits of education and training and sharpens incentives to incur student debt. We advance a new measure of labor market polarizations that allows to capture the heterogeneity of this phenomena across geographies and time. Using this measure, we find that U.S. CBSAs that experience deeper labor market polarization see an increase in student debt balances and in the number of people pursuing student debt. On average, the decline in middle-skill jobs and wages has little effect on individuals’ ability to pay down existing student debt. The effects are most pronounced in ZIP codes with lower average credit scores, lower incomes, and higher share of the minority population.
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Comment on "Inflation Strikes Back: The Role of Import Competition and the Labor Market"
Mathias Trabandt
NBER Macroeconomics Annual,
2024
Abstract
Amiti et al. (2024) seek to answer a very topical and important research question: How much did supply-side disruptions and the tight labor market contribute to the recent surge in inflation? The answer provided by the authors is: about 2 percentage points. To arrive at their answer, the authors use a calibrated two-sector New Keynesian model in which they use three correlated shocks in a perfect-storm type setting. The paper also has an interesting empirical part that provides evidence that the channels emphasized in the theoretical model are at work in the data.
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