The Gender Reveal: The Effect of Sons on Young Fathers’ Criminal Behavior and Labor Market Activities
Kabir Dasgupta, André Diegmann, Tom Kirchmaier, Alexander Plum
Labour Economics,
October
2022
Abstract
Based on New Zealand’s administrative court charges data, we document child gender-specific differences in future criminal behavior of young fathers. The deterrent impact of having a son on the future likelihood of receiving convictions persists for as long as ten years post-childbirth. Utilizing population-wide monthly tax registers and Census data, we provide key insights into the role model hypothesis. We show that young fathers with a son have (i) a higher likelihood of being in employment, (ii) higher wages and salaries, (iii) lower benefit dependency, (iv) better qualification, and (v) a higher likelihood of being in a partnered relationship.
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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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Understanding Climate Activism: Who Participates in Climate Marches Such As “Fridays for Future” and What Can We Learn from It?
Felix Noth, Lena Tonzer
Energy Research and Social Science,
February
2022
Abstract
Young people are marching around the globe to ask for measures against climate change and to protect the environment. Using novel survey data, we ask who participates in such powerful movements and what can be learned from our findings. The survey was conducted in German and is based on answers from more than 600 participants. We find that survey respondents are less likely to participate in climate marches like “Fridays for Future” in case they trust more in (large) corporations suggesting a link between trust and climate activism. We also ask whether worries about climate change or attitudes towards more environmentally friendly behavior match their participation frequency in climate marches. Results reveal that respondents being more worried about climate change or the environment tend to participate more often in marches addressing these concerns. Similarly, participation in climate marches correlates positively with acting environmentally sustainable. Hence, our findings might be relevant for corporations in case they want to keep the support of young customers participating in climate marches.
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Protecting Our People and Economy in the Long Term
Kai Konrad, Mareike Kunter, Lena Tonzer
Covid-19 Lessons Learned - Preparing for Future Pandemics. Spanish National Research Council,
2021
Abstract
While taking measures to prevent the infection was an acute necessity, the impact on other areas of life should always be considered, both, in the short- and long term. The pandemic and the mitigation measures have directly or indirectly affected people’s well-being, their general health, education or the economy. In order to learn for the future, it is of utmost importance to monitor and understand these side effects, in particular regarding long-term developments.
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Cryptocurrency Volatility Markets
Fabian Wöbbeking
Digital Finance,
Nr. 3,
2021
Abstract
By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks.
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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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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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“The Good News about Bad News”: Information about Past Organizational Failure and Its Impact on Worker Productivity
Sabrina Jeworrek, Vanessa Mertins, Michael Vlassopoulos
Leadership Quarterly,
Nr. 3,
2021
Abstract
Failure in organizations is very common. Little is known about whether leaders should provide information about past organizational failure to followers and how this might affect their future performance. We conducted a field experiment in which we recruited temporary workers to carry out a phone campaign to attract new volunteers and randomly assigned them to either receive or not to receive information about a failed mail campaign pursuing the same goal. We find that informed workers performed better, regardless of whether they had previously worked on the failed mail campaign or not. Evidence from a second field experiment with students asked to support voluntarily a campaign for reducing food waste corroborates the finding. We explore the role of leadership tactics behind our findings in a third online survey experiment. We conclude that information about past failure is unlikely to have a negative impact on work performance, and might even lead to performance improvement. Implications for future research on the relevance of leadership tactics when giving such information are discussed.
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Conditional Macroeconomic Forecasts: Disagreement, Revisions and Forecast Errors
Alexander Glas, Katja Heinisch
IWH Discussion Papers,
Nr. 7,
2021
Abstract
Using data from the European Central Bank‘s Survey of Professional Forecasters, we analyse the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the heterogeneity, updating and ex-post performance of predictions for inflation, real GDP growth and the unemployment rate are related to assumptions about future oil prices, exchange rates, interest rates and wage growth. Our findings indicate that inflation forecasts are closely associated with oil price expectations, whereas expected interest rates are used primarily to predict output growth and unemployment. Expectations about exchange rates and wage growth also matter for macroeconomic forecasts, albeit less so than oil prices and interest rates. We show that survey participants can considerably improve forecast accuracy for macroeconomic outcomes by reducing prediction errors for external conditions. Our results contribute to a better understanding of the expectation formation process of experts.
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