Married women’s added worker effect during the 2008 economic crisis—The case of Turkey

Ayhan, Sinem H.

doi:10.1007/s11150-016-9358-5

Cited by 14 publications

(19 citation statements)

References 28 publications

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“…It was lowest in Malta (52.1%), Italy (54.4%), and Greece (59.0%) and highest in Sweden (83.4%), Norway (75.9%), and Denmark (75.0%) (Eurostat 2015). Therefore, it is not surprising that most of the empirical literature that identifies an added worker effect deals with countries in which the labor force attachment of women is comparatively low (Prieto-Rodriguez and Rodriguez-Gutierrez 2000;Bas xlevent and Onaran 2003;Bentolila and Ichino 2008;Ayhan 2017). In most Western societies, the ability of married women to newly enter the labor market and become additional workers is limited, because most women already participate in the labor market.…”

Section: Theoretical Framework and Literaturementioning

confidence: 99%

Husband’s Unemployment and Wife’s Labor Supply: The Added Worker Effect across Europe

2017

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in

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Section: Theoretical Framework and Literaturementioning

confidence: 99%

Husband’s Unemployment and Wife’s Labor Supply: The Added Worker Effect across Europe

2017

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“…9 Thus, for example, it is not possible to examine "added worker" effects using the Pulse data. See, for example,Lundberg (1985),Starr (2014),Ayhan (2018), andBredtmann et al (2018).10 As the share of respondents with K-12 children reporting no change in their children's school is extremely small (less than one-half of one percent), and their circumstances must be unusual in ways we cannot identify, we exclude these cases from our analysis.Covid-19 shocks to education supply: how 200,000 U. S. households dealt with the sudden. .…”

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confidence: 99%

Covid-19 shocks to education supply: how 200,000 U.S. households dealt with the sudden shift to distance learning

Bansak

Starr

2021

Rev Econ Household

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Among the extraordinary shocks to household life caused by the Covid-19 pandemic was the sudden shift to distance learning in K-12 schools. Gone were Monday through Friday routines of school day, extracurricular activities, and evening homework; schools scrambled to launch alternative delivery systems, expecting parents to step in and spend significant amounts of time helping children continue to learn. This study examines the sudden shift to distance learning using data from U.S. Census Bureau's Household Pulse Survey. Conducted weekly from April through July 2020, the survey tracked COVID-related shocks to employment, health, food and housing security, and education in the U.S. population. We use Pulse data on 200,000 households with K-12 children to examine how school systems shifted, how parents stepped up and spent time helping children learn, how parental time inputs varied with parent education, and how education changes intersected with other pandemic shocks, including job loss and food insecurity. We find that parents and children spent significantly more time in learning activities when their schools provided diversified educational inputs, especially live contact time with teachers; live contact hours also facilitated children learning on their own. Given the type of alternative schooling, less educated parents spent no less time helping children than better educated parents, although they faced significantly more problems with computer and internet access. Thus, parents generally tried to help children continue learning in the pandemic, albeit with potentially wide variation in the resources they could supply to mitigate the drop in learning.JEL codes D1 household behavior and family economics • J13 children • I21 analysis of education • I24 education and inequality • I18 public health

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“…Halla et al ( 2020 ) find the AWE to be confined to districts with low unemployment rates. Finally, Ayhan ( 2018 ), Ghignoni & Verashchagina ( 2016 ) and Parker & Skoufias ( 2004 ) also analyze changes in labour supply of partners in times of recession, but do not provide a causal inference on the AWE. At this point, it is important to stress that most studies focus on limited time periods for inference on the presence of the AWE during a specific economic downturn.…”

Section: Introductionmentioning

confidence: 99%

The added-worker effect in the Netherlands before and during the Great Recession

2022

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We study the added-worker effect in the Netherlands with large-scale administrative panel data for the period 1999–2015. Conditioning on samples with similar employment histories, we employ differences-in-differences to estimate the effect of a male partner’s unemployment shock on the female partner’s income. We find a modest added-worker effect of 2–5% of the male partner’s income loss, as compared to the much larger compensating effect from social insurance schemes. The added-worker effect largely disappeared at the beginning of the Great Recession, but resurfaced a few years later. Over the years, profits from self-employment have become more important in dealing with unemployment shocks.

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Married women’s added worker effect during the 2008 economic crisis—The case of Turkey

Cited by 14 publications

References 28 publications

Husband’s Unemployment and Wife’s Labor Supply: The Added Worker Effect across Europe

Husband’s Unemployment and Wife’s Labor Supply: The Added Worker Effect across Europe

Covid-19 shocks to education supply: how 200,000 U.S. households dealt with the sudden shift to distance learning

The added-worker effect in the Netherlands before and during the Great Recession

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