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Bitte um Gnade für den BundeshaushaltReint GroppDer Spiegel, 13. November 2024
Syndicated loan data provided by DealScan is an essential input in banking research. This data is rich enough to answer urging questions on bank lending, e.g., in the presence of financial shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis of 2007/08 to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance depends on the data and sampling choice and we provide guidelines for applied research.
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.