Social Science > Demography

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Can Sever
Economic growth in the advanced economies (AEs) has been slowing down since the early 2000s, while government debt ratios have been rising. The recent surge in debt at the onset of the Covid-19 pandemic has further intensified concerns about these phenomena. This paper aims to offer insight into the high-debt low-growth environment in AEs by exploring a causal link from government debt to future growth, specifically through the impact of debt on R&D activities. Using data from manufacturing industries since the 1980s, it shows that (i) government debt leads to a decline in growth, particularly in R&D-intensive industries; (ii) the differential effect of government debt on these industries is persistent; and (iii) more developed or open financial systems tend to mitigate this negative impact. These findings contribute to our understanding of the relationship between government debt and growth in AEs, given the role of technological progress and innovation in economic growth.
Mr. Serhan Cevik
and
João Tovar Jalles
Natural disasters are inevitable, but humanitarian and economic losses are determined largely by policy preferences and institutional underpinnings that shape the quality of public infrastructure (including emergency responses and healthcare services) and govern business practices and the adherence to building codes. In this paper, we empirically investigate whether corruption increases the loss of human lives caused by natural disasters, using a large panel of 135 countries during the period 1980–2020. The econometric analysis provides convincing evidence that corruption increases the number of disaster-related deaths, after controlling for economic, demographic, healthcare and institutional factors. That is, the higher the level of corruption in a given country, the greater the number of fatalities as a share of population due to natural disasters. Our results show that the devastating impact of corruption on loss of human lives caused by natural disasters is significantly greater in developing countries, which are even more vulnerable to nonlinear effects of corruption.
Guanyu Zheng
,
Gulnara Nolan
,
Christopher Ball
,
Siddharth Kothari
, and
Yosuke Kido
We use the novel anonymized Household Labour Force Survey (HLFS) microdata to analyze job finding rates and job separation rates in New Zealand. We find that individual characteristics, including age, gender, ethnicity and education have a significant impact on job finding and separation rates, even after controlling for other factors. We use a decomposition approach to analyze how the effects of individual characteristics on job finding and separation rates contribute to heterogeneity in employment outcomes. Overall, we find that higher separation rates of young workers play a disproportionate role in explaining heterogeneity of employment outcomes across age groups, while differences in finding rates are somewhat more important in explaining differences by education level. Both finding and separation rate differences are important in explaining differences across ethnicities. We also find some heterogeneous response of worker groups to business cycle after controlling for other factors. The results underscore the importance of well-targeted labor market support policies.
International Monetary Fund. Asia and Pacific Dept

Abstract

Fall 2021 Regional Economic Outlook: Asia and Pacific--Navigating Waves of New Variants: Pandemic Resurgence Slows the Recovery

We propose a dynamic production function of population health and mortality from birth onwards. Our parsimonious model provides an excellent fit for the mortality and survival curves for both primate and human populations since 1816. The model sheds light on the dynamics behind many phenomena documented in the literature, including (i) the existence and evolution of mortality gradients across socio-economic statuses, (ii) non-monotonic dynamic effects of in-utero shocks, (iii) persistent or “scarring” effects of wars and (iv) mortality displacement after large temporary shocks such as extreme weather.
Mr. Pragyan Deb
,
Davide Furceri
,
Mr. Jonathan David Ostry
, and
Nour Tawk
Countries have implemented several containment measures to halt the spread of the 2019 coronavirus disease, but it remains unclear the extent to which these unprecedented measures have been successful. We examine this question using daily data on the number of coronavirus disease cases as well as on real-time containment measures implemented by countries. Results suggest that these measures have been very effective in flattening the “pandemic curve”, but there is significant heterogeneity across countries. Effectiveness is enhanced when measures are implemented quickly, where de facto mobility is curtailed, in countries with lower temperatures and population density, as well as in countries with a larger share of the elderly in total population and stronger health systems. We also find that easing of containment measures has resulted in an increase in the number of cases, but the effect has been lower (in absolute value) than that from a tightening of measures.
International Monetary Fund. European Dept.
This Selected Issues paper estimates the long-run economic impact of Brexit on the United Kingdom under two distinct assumptions for the post-Brexit relationship between the United Kingdom and the European Union. These illustrative scenarios entail different degrees of higher trade costs, a more restricted European Union migration regime and reduced foreign inward investment. A standard multicountry and multisector computable general equilibrium model is used to quantify the impact of higher trade barriers. There is substantial sectoral heterogeneity in the impact, and regions with higher concentrations of the more affected sectors are likely to confront greater losses. The empirical analysis suggests the speed of sectoral labor relocation across sectors has been relatively low in the UK. Irrespective of these empirical estimates, policies, such as retraining, would be critical to facilitate faster adjustment of the economy to the post-Brexit equilibrium thereby helping to minimize the associated costs to individuals and in aggregate.
Ms. Florence Jaumotte
,
Ksenia Koloskova
, and
Ms. Sweta Chaman Saxena

The recent refugee surge has brought attention to the macro-critical policy issue of migration, including speculations that migration can be an unfavorable phenomenon for the receiving economies. A careful examination of the impact of migration on host economies is thus critical. Focusing on the economic impact, most of the academic discussion has centered on the effect of migration on labor markets and public finances. Much less is known about the long-term impact of immigration on the GDP per capita (or the standard of living) of host economies. This note makes three contributions to estimating this impact: it uses a restricted sample of advanced economies rather than a mixed sample of higher- and lower-income host countries, it examines whether the GDP per capita impact varies for different skill levels of migrants, and it goes beyond the aggregate impact of migration on GDP per capita to examine how broadly gains in this regard are shared across the population. In particular, it examines whether migration impacts the income levels of those both at the top and at the bottom of the earnings distribution, or whether gains are instead concentrated in a small group of high earners. It finds that immigration significantly increases GDP per capita in advanced economies, that both high- and lower-skilled migrants can raise labor productivity, and that an increase in the migrant share benefits the average income per capita of both the bottom 90 percent and the top 10 percent of earners, suggesting the gains from immigration are broadly shared.

International Monetary Fund. Communications Department
Finances & Développement, mars 2016