Frontier firms and followers in the Netherlands: estimating productivity and identifying the frontier
by Harro van Heuvelen, Leon Bettendorf, Gerdien Meijerink (July, 2018)
This study shows that constructing a large dataset, which sufficiently covers all firm sizes, is a prerequisite for studying the divergence hypothesis. We merge datasets of individual firm and employee data in the years 20062015 for the Netherlands, resulting in a representative sample of corporations. We find no evidence of diverging productivity between firms on the national frontier and laggard firms.
by Mark Regan, Claire Keane, John R Walsh (July, 2018)
New ESRI research examines the impact of changes made to social welfare policy between 2011 and 2018, which removed entitlement for lone parents with a child over 7 to the One Parent Family Payment and reduced the “earnings disregard”, the amount a lone parent can earn before their payment is reduced. The changes also made lone parent payments for those with children above 7 dependent on an individual’s engagement with job search and training services.
by Costanza Biavaschi, Michal Burzynski, Benjamin Elsner, Joël Machado (July, 2018)
Global migration is heavily skill-biased, with tertiary-educated workers being four times more likely to migrate than workers with a lower education. In this paper, we quantify the global impact of this skill bias in migration. Based on a quantitative multi-country model with trade, we compare the current world to a counterfactual with the same number of migrants, where all migrants are neutrally selected from their countries of origin. We find that most receiving countries benefit from the skill bias in migration, while a small number of sending countries is significantly worse off. The negative effect in many sending countries is completely eliminated — and often reversed — once we account for remittances and additional migration-related externalities. In a model with all our extensions, the average welfare effect of skill-biased migration in both OECD and non-OECD countries is positive.
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Time and place: 12/10/2018 in Vienna, Austria
Gabriel Lee (Regensburg and IHS) David Andolfatto (FRB St. Louis and SFU) Martin Gervais (Iowa)
Time and place: 18/10/2018 in Luxembourg, Luxembourg
Why does inequality differ so much across countries? While income inequality trends have been extensively researched, much less is known about the driving forces behind international differences in inequality. Yet, differences across countries remain more striking than the increases in inequality recently observed within any industrialized country. LISER, the University of Luxembourg and the University … Continued
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