Forced Displacement, Exposure to Conflict and Long-run Education and Income Inequality: Evidence from Croatia and Bosnia and Herzegovina
Adnan Efendic, Dejan Kovač, Jacob N. Shapiro
Abstract
This paper investigates the long-term relationship between conflict-related migration and individual socioeconomic inequality. Looking at the post-conflict environments of Bosnia and Herzegovina (BiH) and Croatia, the two former Yugoslav states most heavily impacted by the conflicts of the early 1990s, the paper focuses on differences in educational performance and income between four groups: migrants, internally displaced persons, refugees, and those who did not move two decades after the conflicts. For BiH, the analysis leverages a municipality-representative survey (n = 6, 021) that captured self-reported education and income outcomes as well as migration histories. For Croatia, outcomes are measured using an anonymized education registry that captured outcomes for over half a million individuals over time. This allows an assessment of convergence between different categories of migrants. In both countries, individuals with greater exposure to conflict had systematically worse educational performance. External migrants now living in BiH have better educational and economic outcomes than those who did not migrate, but these advantages are smaller for individuals who were forced to move. In Croatia, those who moved during the conflict have worse educational outcomes, but there is a steady convergence between refugees and non-migrants. This research suggests that policies intended to address migration-related discrepancies should be targeted on the basis of individual and family experiences caused by conflict.
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Expectations, Infections, and Economic Activity
Martin S. Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, Mathias Trabandt
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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Exposure to Conflict, Migrations and Long-run Education and Income Inequality: Evidence from Bosnia and Herzegovina
Adnan Efendic, Dejan Kovač, Jacob N. Shapiro
Abstract
We investigate the long-term relationship between conflict-related migration and individual socioeconomic inequality. Looking at the post-conflict environment of Bosnia and Herzegovina (BiH), a former Yugoslav state most heavily impacted by the conflicts of the early 1990s, the paper focuses on differences in educational performance and income between four groups: migrants, internally displaced persons, former external migrants, and those who did not move. The analysis leverages a municipality-representative survey (n≈6,000) that captured self-reported education and income outcomes as well as migration histories. We find that individuals with greater exposure to conflict had systematically worse educational performance and lower earnings two decades after the war. Former external migrants now living in BiH have better educational and economic outcomes than those who did not migrate, but these advantages are smaller for individuals who were forced to move. We recommend that policies intended to address migration-related discrepancies should be targeted on the basis of individual and family experiences caused by conflict.
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External Social Networks and Earnings Management
Ming Fang, Bill Francis, Iftekhar Hasan, Qiang Wu
British Accounting Review,
No. 2,
2022
Abstract
Using a sample of U.S. listed firms for the 2000–2017 period, we examine how external social networks of top executives and directors affect earnings management in their firms. We find that well-connected firms are more aggressive in managing earnings through both accruals and real activities and that the results are robust after controlling for internal executive social ties. Using a difference-in-differences approach, we find that earnings management decreases after a socially connected executive or director dies. Additional analysis shows that connections forged by past professional working experiences have a greater impact on earnings management than connections forged by education and other social activities. Moreover, CFO social networks have a greater influence on earnings management than CEO social networks. Finally, we explore the underlying mechanisms, finding that 1) firms that are socially connected to each other show more similarities in their earnings management than firms that do not share a connection, and 2) more connected firms are less likely to incur accounting restatements. Collectively, our findings indicate that the external social networks of top executives and directors are important determinants of both their accrual- and real activity-based earnings management.
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The Impact of Political Uncertainty on Institutional Ownership
Bill Francis, Iftekhar Hasan, Yun Zhu
Journal of Financial Stability,
December
2021
Abstract
This paper provides original evidence from institutional investors that political uncertainty greatly affects investment behavior. Using institutional holdings of common stock, we find that institutions significantly reduce their holdings by 0.8–2.3% points during presidential election years. Such effect holds for gubernatorial elections with cross-state-border difference-in-difference analysis and for tests using a political uncertainty index. The effect is the opposite for American Depository Receipts (ADRs). In addition, we find that institutions benefit financially from the observed strategy, and such strategy is in line with predicted outcomes of presidential election polls.
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VC Participation and Failure of Startups: Evidence from P2P Lending Platforms in China
Iftekhar Hasan, Xiaoyang Li
Finance Research Letters,
May
2021
Abstract
We investigate how VC participation affects the failure of startups. Using a unique dataset of the survival of peer-to-peer (P2P) platforms in China, we identify two types of failures, bankruptcy, and run off with investors' money. The Competing Risk Model results show that while VC participation reduces bankruptcy hazard, it has little impact on the runoff failures. The findings are robust to the use of matched subsamples that disentangle the influence of pre-investment screening by VC. Further analysis of exit routes reveals that conditional on failure, VC participation is associated with a higher chance of running for the exit.
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Disentangling Covid-19, Economic Mobility, and Containment Policy Shocks
Annika Camehl, Malte Rieth
IWH Discussion Papers,
No. 2,
2021
Abstract
We study the dynamic impact of Covid-19, economic mobility, and containment policy shocks. We use Bayesian panel structural vector autoregressions with daily data for 44 countries, identified through sign and zero restrictions. Incidence and mobility shocks raise cases and deaths significantly for two months. Restrictive policy shocks lower mobility immediately, cases after one week, and deaths after three weeks. Non-pharmaceutical interventions explain half of the variation in mobility, cases, and deaths worldwide. These flattened the pandemic curve, while deepening the global mobility recession. The policy tradeoff is 1 p.p. less mobility per day for 9% fewer deaths after two months.
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Benchmarking New Zealand's Frontier Firms
Guanyu Zheng, Hoang Minh Duy, Gail Pacheco
IWH-CompNet Discussion Papers,
No. 1,
2021
Abstract
New Zealand has experienced poor productivity performance over the last two decades. Factors often cited as reasons behind this are the small size of the domestic market and distance to international partners and markets. While the distance reason is one that is fairly insurmountable, there are a number of other small advanced economies that also face similar domestic market constraints. This study compares the relative performance of New Zealand’s firms to those economies using novel cross-country microdata from CompNet. We present stylised facts for New Zealand relative to the economies of Belgium, Denmark, Finland, Netherlands and Sweden based on average productivity levels, as well as benchmarking laggard, median and frontier firms. This research also employs an analytical framework of technology diffusion to evaluate the extent of productivity convergence, and the impact of the productivity frontier on non-frontier firm performance. Additionally, both labour and capital resource allocation are compared between New Zealand and the other small advanced economies. Results show that New Zealand’s firms have comparatively low productivity levels and that its frontier firms are not benefiting from the diffusion of best technologies outside the nation. Furthermore, there is evidence of labour misallocation in New Zealand based on less labour-productive firms having disproportionally larger employment shares than their more productive counterparts. Counter-factual analysis illustrates that improving both technology diffusion from abroad toward New Zealand’s frontier firms, and labour allocation across firms within New Zealand will see sizable productivity gains in New Zealand.
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Why Are Households Saving so much During the Corona Recession?
Reint E. Gropp, William McShane
IWH Policy Notes,
No. 1,
2021
Abstract
Savings rates among European households have reached record levels during the Corona recession. We investigate three possible explanations for the increase in household savings: precautionary motivations induced by increased economic uncertainty, reduced consumption opportunities due to lockdown measures, and Ricardian Equivalence, i.e. increases in the expected future tax-burden of households driven by increases in government debt. To test these explanations, we compile a monthly panel of euro area countries from January 2019 to August 2020. Our findings indicate that the chief driver of the increase in household savings is supply: As governments restrict households’ opportunities to spend, households spend less. We estimate that going from no lockdown measures to that of Italy’s in March, would have resulted in the growth of Germany’s deposit to Gross Domestic Product (GDP) ratio being 0.6 percentage points higher each month. This would be equivalent to the volume of deposits increasing by roughly 14.3 billion euros or 348 euros per house monthly. Demand effects, driven by either fears of unemployment or fear of infection from COVID-19, appear to only have a weak impact on household savings, whereas changes in government debt are unrelated or even negatively related to savings rates. The analysis suggests that there is some pent-up demand for consumption that may unravel after lockdown measures are abolished and may result in a significant increase in consumption in the late spring/early summer 2021.
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Robot Adoption at German Plants
Liuchun Deng, Verena Plümpe, Jens Stegmaier
Abstract
Using a newly collected dataset of robot use at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotisation in Germany and study the potential determinants of robot adoption. Our descriptive analysis uncovers five stylised facts concerning both extensive and, perhaps more importantly, intensive margin of plant-level robot use: (1) Robot use is relatively rare with only 1.55% German plants using robots in 2018. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotisation. (4) Robot users are exceptional along several dimensions of plant-level characteristics. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, low-skilled labour share, and exporter status to have strong and positive effect on future probability of robot adoption. Manufacturing plants impacted by the introduction of minimum wage in 2015 are also more likely to adopt robots. However, controlling for plant size, we find that plant-level productivity has no, if not negative, impact on robot adoption.
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