Lauren Hoehn‐Velasco, J. R. Balmori de la Miyar, Adan Silverio‐Murillo, S. Farin
{"title":"Till the Lockdown Do Us Part: Examining the Impact of the COVID-19 Pandemic on Marital Formation and Dissolution","authors":"Lauren Hoehn‐Velasco, J. R. Balmori de la Miyar, Adan Silverio‐Murillo, S. Farin","doi":"10.2139/ssrn.3946458","DOIUrl":"https://doi.org/10.2139/ssrn.3946458","url":null,"abstract":"In this study, we consider the effects of the COVID-19 pandemic on family formation and dissolution. We use national microdata covering all marriages and divorces in Mexico and an event-study design. Our findings indicate that over March through December of 2020, marriage rates declined by 54% and divorce rates by 43%. By the end of 2020, divorce rates recover back to baseline levels, but marriage rates remain 30% below the 2017-2019 baseline level. Overall, our findings indicate that marital dissolutions quickly recovered (6 months into the pandemic), but family formation may be delayed or even permanently reduced.","PeriodicalId":290767,"journal":{"name":"Social Demography eJournal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127400291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of COVID-19 and the Lockdown on Construction Workers in Madurai","authors":"M. S.","doi":"10.2139/ssrn.3883965","DOIUrl":"https://doi.org/10.2139/ssrn.3883965","url":null,"abstract":"Construction is the second major economic activity in India and the construction workers constitute a major section of the workforce. They suffered from a lack of employment due to COVID-19 lockdown enforced by the government. The study was done in Madurai in Tamil Nadu. It aimed to study the effect of COVID-19 infection, the lockdown from April to August 2020, and post lockdown from September to December 2020. A range of reports, census, and NSSO data, a sample survey of 100 construction workers using structured questionnaires, and open-ended discussions with union activists, workers, government officials, tool renters is used. <br><br>The study finds the workers are not affected by COVID-19 infection. However, they are affected by reduced wage incomes, hardships, and lack of alternative employment. It finds the deplorable conditions of workers remain the same as reported in the past. The statutory bodies expected to support workers are not of much use. The systems established to offer entitlements, social security and relief are cumbersome and unworkable. Women workers suffered disproportionately. The meagre relief and support announced by the Union and State governments did not reach them. It is time to implement the law, policy, and institutional mechanisms to safeguard workers’ interests.","PeriodicalId":290767,"journal":{"name":"Social Demography eJournal","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122411083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Longevity Risk and Capital Markets: The 2019-20 Update","authors":"D. Blake, A. Cairns","doi":"10.2139/ssrn.3818781","DOIUrl":"https://doi.org/10.2139/ssrn.3818781","url":null,"abstract":"This Special Issue of the Insurance: Mathematics and Economics contains 16 contributions to the academic literature all dealing with longevity risk and capital markets. Draft versions of the papers were presented at Longevity 15: The Fifteenth International Longevity Risk and Capital Markets Solutions Conference that was held in Washington DC on 12-13 September 2019. It was hosted by the Pensions Institute at City, University of London.<br><br>Longevity risk and related capital market solutions have grown increasingly important in recent years, both in academic research and in the markets we refer to as the Life Market, i.e., the capital market that trades longevity-linked assets and liabilities. Mortality improvements around the world are putting more and more pressure on governments, pension funds, life insurance companies, as well as individuals, to deal with the longevity risk they face. At the same time, capital markets can, in principle, provide vehicles to hedge longevity risk effectively and transfer the risk from those unwilling or unable to manage it to those willing to invest in this risk in exchange for appropriate risk-adjusted returns or to those who have a counterpoising risk that longevity risk can hedge, e.g., life offices and reinsurers with mortality risk on their books. Many new investment products have been created both by the insurance/reinsurance industry and by the capital markets. Mortality catastrophe bonds are an early example of a successful insurance-linked security. Some new innovative capital market solutions for transferring longevity risk include longevity (or survivor) bonds, longevity (or survivor) swaps, mortality (or q-) forward contracts and reinsurance sidecars. The aim of the International Longevity Risk and Capital Markets Solutions Conferences is to bring together academics and practitioners from all over the world to discuss and analyze these exciting new developments. <br>","PeriodicalId":290767,"journal":{"name":"Social Demography eJournal","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124654525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Youth Unemployment In Russia: Scope and Issues","authors":"V. Lyashok","doi":"10.2139/ssrn.3827096","DOIUrl":"https://doi.org/10.2139/ssrn.3827096","url":null,"abstract":"Young people survived the crisis of 2020 relatively well. The high unemployment rate involving the 15-24 year olds in Russia (15.5% in 2019 compared to 4.6% of unemployment as a whole) is explained by the calculation specifics of this indicator. The average time required to find a job among young people in Russia is significantly lower compared to other age groups, and is close to the developed countries. About half of young unemployed people in Russia are looking for a job less than three months: this indicator is significantly lower compared to the population of other age groups. The share of “discouraged” unemployed (i.e. those who failed to find a job and left the labor market) is comparable to the most prosperous European countries.","PeriodicalId":290767,"journal":{"name":"Social Demography eJournal","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126629452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Much Cohort Inequality can be Explained by Socio-Economic Status-Based Mortality Differences?","authors":"T. Hungerford","doi":"10.2139/ssrn.3494487","DOIUrl":"https://doi.org/10.2139/ssrn.3494487","url":null,"abstract":"Several studies have found mortality differences by income level — higher income individuals tend to live longer — and these differences have been growing over time. This differential mortality could affect measured cohort income inequality because the bottom of the income distribution will become relatively sparse as a cohort ages. This study examines the role played by differential mortality in the course of cohort income inequality as a cohort ages from the late preretirement years to old-age. The results show that differential mortality explains little of cohort income inequality and little of the changes in income inequality. Mortality bias does not appear to effect cohort inequality trends.","PeriodicalId":290767,"journal":{"name":"Social Demography eJournal","volume":"76 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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