Energy Markets and Global Economic Conditions
Christiane Baumeister, Dimitris Korobilis, Thomas K. Lee
Review of Economics and Statistics,
Nr. 4,
2022
Abstract
We evaluate alternative indicators of global economic activity and other market funda-mentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. World industrial production is one of the most useful indicators. However, by combining measures from several different sources we can do even better. Our analysis results in a new index of global economic conditions and measures for assessing future energy demand and oil price pressures. We illustrate their usefulness for quantifying the main factors behind the severe contraction of the global economy and the price risks faced by shale oil producers in early 2020.
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Preferred Field of Study and Academic Performance
Francesco Berlingieri, André Diegmann, Maresa Sprietsma
Abstract
This paper investigates the impact of studying the first-choice university subject on dropout and switching field of study for a cohort of students in Germany. Using detailed survey data, and employing an instrumental variable strategy based on variation in the local field of study availability, we provide evidence that students who are not enrolled in their preferred field of study are more likely to change their field, delay graduation and drop out of university. The estimated impact on dropout is particularly strong among students of low socio-economic status and is driven by lower academic performance and motivation.
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Expectations, Infections, and Economic Activity
Martin S. Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, Mathias Trabandt
NBER Working Paper,
April
2022
Abstract
The Covid epidemic had a large impact on economic activity. In contrast, the dramatic decline in mortality from infectious diseases over the past 120 years had a small economic impact. We argue that people's response to successive Covid waves helps reconcile these two findings. Our analysis uses a unique administrative data set with anonymized monthly expenditures at the individual level that covers the first three Covid waves. Consumer expenditures fell by about the same amount in the first and third waves, even though the risk of getting infected was larger in the third wave. We find that people had pessimistic prior beliefs about the case-fatality rates that converged over time to the true case-fatality rates. Using a model where Covid is endemic, we show that the impact of Covid is small when people know the true case-fatality rate but large when people have empirically-plausible pessimistic prior beliefs about the case-fatality rate. These results reconcile the large economic impact of Covid with the small effect of the secular decline in mortality from infectious diseases estimated in the literature.
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The Effects of Sovereign Risk: A High Frequency Identification Based on News Ticker Data
Ruben Staffa
IWH Discussion Papers,
Nr. 8,
2022
Abstract
This paper uses novel news ticker data to evaluate the effect of sovereign risk on economic and financial outcomes. The use of intraday news enables me to derive policy events and respective timestamps that potentially alter investors’ beliefs about a sovereign’s willingness to service its debt and thereby sovereign risk. Following the high frequency identification literature, in the tradition of Kuttner (2001) and Guerkaynak et al. (2005), associated variation in sovereign risk is then obtained by capturing bond price movements within narrowly defined time windows around the event time. I conduct the outlined identification for Italy since its large bond market and its frequent coverage in the news render it a suitable candidate country. Using the identified shocks in an instrumental variable local projection setting yields a strong instrument and robust results in line with theoretical predictions. I document a dampening effect of sovereign risk on output. Also, borrowing costs for the private sector increase and inflation rises in response to higher sovereign risk.
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Firm Subsidies, Financial Intermediation, and Bank Risk
Aleksandr Kazakov, Michael Koetter, Mirko Titze, Lena Tonzer
Abstract
We study whether government subsidies can stimulate bank funding of marginal investment projects and the associated effect on financial stability. We do so by exploiting granular project-level information for the largest regional economic development programme in Germany since 1997: the Improvement of Regional Economic Structures programme (GRW). By combining the universe of subsidised firms to virtually all German local banks over the period 1998-2019, we test whether this large-scale transfer programme destabilised regional credit markets. Because GRW subsidies to firms are destabilised at the EU level, we can use it as an exogenous shock to identify bank responses. On average, firm subsidies do not affect bank lending, but reduce banks’ distance to default. Average effects conflate important bank-level heterogeneity though. Conditional on various bank traits, we show that well capitalised banks with more industry experience expand lending when being exposed to subsidised firms without exhibiting more risky financial profiles. Our results thus indicate that stable banks can act as an important facilitator of regional economic development policies. Against the backdrop of pervasive transfer payments to mitigate Covid-19 losses and in light of far-reaching transformation policies required to green the economy, our study bears important implications as to whether and which banks to incorporate into the design of transfer Programmes.
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COVID-19 Financial Aid and Productivity: Has Support Been Well Spent?
Carlo Altomonte, Maria Demertzis, Lionel Fontagné, Steffen Müller
Bruegel-Policy Contributions,
Nr. 21,
2021
Abstract
Most European Union countries have made good progress with vaccinating their populations against COVID-19 and are now seeing a rebound in economic activity. While the scarring effects of the crisis and the long-term implications of the pandemic are only partially understood, the effects of support given to firms can be evaluated in order to help plan the removal of crisis support. An analysis of France, Germany and Italy shows the potential for ‘cleansing effects’ in that it was the least-productive firms that have been affected most by the crisis. While support was generally not targeted at protecting good firms only, financial support went by and large to those with the capacity to survive and succeed. Labour schemes have been effective in protecting employment.
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Corporate Loan Spreads and Economic Activity
Anthony Saunders, Alessandro Spina, Sascha Steffen, Daniel Streitz
SSRN Working Paper,
2021
Abstract
We use secondary corporate loan-market prices to construct a novel loan-market-based credit spread. This measure has considerable predictive power for economic activity across macroeconomic outcomes in both the U.S. and Europe and captures unique information not contained in public market credit spreads. Loan-market borrowers are compositionally different and particularly sensitive to supply-side frictions as well as financial frictions that emanate from their own balance sheets. This evidence highlights the joint role of financial intermediary and borrower balance-sheet frictions in understanding macroeconomic developments and enriches our understanding of which type of financial frictions matter for the economy.
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The Impact of Delay: Evidence from Formal Out-of-Court Restructuring
Randall K. Filer, Dejan Kovač, Jacob N. Shapiro, Stjepan Srhoj
Abstract
Bankruptcy restructuring procedures are used in most legal systems to decide the fate of businesses facing financial hardship. We study how bargaining failures in such procedures impact the economic performance of participating firms in the context of Croatia, which introduced a „pre-bankruptcy settlement“ (PBS) process in the wake of the Great Recession of 2007 - 2009. Local institutions left over from the communist era provide annual financial statements for both sides of more than 180,000 debtor-creditor pairs, enabling us to address selection into failed negotiations by matching a rich set of creditor and debtor characteristics. Failures to settle at the PBS stage due to idiosyncratic bargaining problems, which effectively delays entry into the standard bankruptcy procedure, leads to a lower rate of survival among debtors as well as reduced employment, revenue, and profits. We also track how bargaining failures diffuse through the network of creditors, finding a significant negative effect on small creditors, but not others. Our results highlight the impact of delay and the importance of structuring bankruptcy procedures to rapidly resolve uncertainty about firms‘ future prospects.
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Financing Choice and Local Economic Growth: Evidence from Brazil
Iftekhar Hasan, Thiago Christiano Silva, Benjamin Miranda Tabak
Journal of Economic Growth,
Nr. 3,
2021
Abstract
We study how financing non-traditional local activities, conceived here as a proxy for activity diversification, is associated with economic growth. We use municipality-level data from Brazil, a country with large geographical, social, and economic disparities observed across its more than 5500 municipalities. We find that finance to non-traditional local activities associates with higher municipal economic growth, suggesting a positive externality between the non-traditional and traditional sectors. Using large natural disasters in Brazil as sources of unexpected negative events, we find that this association between financing non-traditional local activities and economic growth becomes negative in times of distress. We find that traditional local sectors are more affected than non-traditional sectors following a natural disaster. Precisely because of the non-traditional sector’s dependence on the traditional sector, our results suggest that municipalities should restrengthen their traditional activities during adverse conditions.
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A Comparison of Monthly Global Indicators for Forecasting Growth
Christiane Baumeister, Pierre Guérin
International Journal of Forecasting,
Nr. 3,
2021
Abstract
This paper evaluates the predictive content of a set of alternative monthly indicators of global economic activity for nowcasting and forecasting quarterly world real GDP growth using mixed-frequency models. It shows that a recently proposed indicator that covers multiple dimensions of the global economy consistently produces substantial improvements in forecasting accuracy, while other monthly measures have more mixed success. Specifically, the best-performing model yields impressive gains with MSPE reductions of up to 34% at short horizons and up to 13% at long horizons relative to an autoregressive benchmark. The global economic conditions indicator also contains valuable information for assessing the current and future state of the economy for a set of individual countries and groups of countries. This indicator is used to track the evolution of the nowcasts for the U.S., the OECD area, and the world economy during the COVID-19 pandemic and the main factors that drive the nowcasts are quantified.
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