Mental Health and Employment: A Bounding Approach Using Panel Data*

Bryan, Mark L.; Rice, Nigel; Roberts, Jennifer; Sechel, Cristina

doi:10.1111/obes.12489

Cited by 16 publications

(9 citation statements)

References 93 publications

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“…Second, and in a similar spirit to Bryan et al (2022), who investigate the impact of mental health on the probability of being in employment for prime age workers in the UK, we implement the bounds approach proposed by Oster (2019). The key idea is to assess how important unobservable factors should be relative to observable ones in order to nullify our estimated coefficients.…”

Section: Statistical Inference and Causal Interpretationmentioning

confidence: 99%

Internet and mental health during the COVID-19 pandemic: Evidence from the UK

Quintana‐Domeque

Zeng

Zhang

2022

Preprint

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With the COVID-19 pandemic, the Internet has become a key player in the daily lives of most people. We investigate the relationship between mental health and internet use frequency and purpose six months after the first lockdown in the UK, September 2020. Using data from the UK Household Longitudinal Study on the 12-item General Health Questionnaire and the Internet use module, and controlling for sociodemographic characteristics and personality traits, we find that older individuals (aged 59 or above) have a lower internet use frequency (twice a day or less). Younger women use the Internet for social purposes more than men do, while younger men use the Internet for leisure-and-learning purposes more than women and older men do. Both high frequency internet use and use for social purposes appear to be a protective factor for social dysfunction. Interestingly, high internet use is a protective factor for social dysfunction among younger women, but a risk factor for psychological distress among younger men. Finally, while leisure-and-learning purpose is a protective factor for social dysfunction among younger women, it is a risk factor for social dysfunction among younger men.

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Section: Statistical Inference and Causal Interpretationmentioning

confidence: 99%

Internet and mental health during the COVID-19 pandemic: Evidence from the UK

Quintana‐Domeque

Zeng

Zhang

2022

Preprint

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“…The bias-corrected estimates are positive and somewhat larger in magnitude (between 0.066 and 0.099), and the identified set of parameters does not include the zero also in this case. The general conclusion is that, 18 Oster (2019) and Bryan et al (2020) point out that most phenomena cannot be completely explained in a deterministic way, leaving room to a certain degree of randomness. Then, a rule of thumb suggests to assume as the maximum value of R 2 not 1 but 1.3 times the value obtained in the most complete specification.…”

Section: Omitted Variable Biasmentioning

confidence: 99%

Does money laundering inflate residential house prices? Evidence from the Italian provincial markets

Novaro

Piacenza

Turati

2022

Kyklos

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In this paper, we provide an estimate of the impact of money laundering on residential house market prices. The housing market is commonly exploited by criminal organizations to clean illegal profits. The increase in demand due to money laundering contrasts the negative externality of crime on house prices, which has been investigated by a large literature. We build a new dataset on residential house prices at the provincial level in Italy over the period 2005-2012, obtaining a sample of 672 observations. We then estimate a hedonic equilibrium price model, controlling for proxies both for illegal profits derived from "entrepreneurial" crimes (drug dealing, receiving stolen goods, prostitution) and for violent crimes (extortions), together with traditional market drivers. Adding to the evidence from the traditional literature, which remarks the negative impact of crime on house prices, our findings suggest that money laundering from "entrepreneurial" crimes creates an upward distortion in the housing market prices. The impact is stronger where retail markets for illicit trades are richer.

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“…This gap is even larger if we look solely at people with mental health problems (Bryan et al. 2020). The current government has pledged to narrow this disability employment gap substantially and reduce the disability benefits caseload (DWP 2017a).…”

Section: Background and Motivationmentioning

confidence: 99%

“…Further, there is a large 'disability employment gap', with only 44% of people with a disability in work, compared to 87% of individuals who do not have a disability. This gap is even larger if we look solely at people with mental health problems (Bryan et al 2020). The current government has pledged to narrow this disability employment gap substantially and reduce the disability benefits caseload (DWP 2017a).…”

Section: Introductionmentioning

confidence: 99%

New Evidence on Disability Benefit Claims in Britain: The Role of Health and the Local Labour Market

Roberts

Taylor

2021

Economica

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During the 1980s and 1990s, there was a steep rise in disability benefit claims in Britain, especially among older male workers, and the debate centred on the relative generosity of these benefits as well as the effects of deindustrialization. Since that time, the disability benefit system has been subject to a series of reforms, all largely aimed at reducing the number of claims and targeting benefits more closely to those with the greatest health need. At the same time, the labour market has also evolved, and until the recent Covid-19 pandemic, it had a historically low level of unemployment, accompanied by falling real earnings. We use individual longitudinal data from 2010 to 2018 in a dynamic panel framework to explore the relative importance of health status, benefit generosity and local labour market conditions for disability benefit claims in the modern British labour market. We focus particularly on spatial variation in claims, and find that, in line with older evidence, while health status is clearly important, geographic variation in labour market conditions still influences the propensity to claim those disability benefits that are conditional on not working.

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Mental Health and Employment: A Bounding Approach Using Panel Data*

Cited by 16 publications

References 93 publications

Internet and mental health during the COVID-19 pandemic: Evidence from the UK

Internet and mental health during the COVID-19 pandemic: Evidence from the UK

Does money laundering inflate residential house prices? Evidence from the Italian provincial markets

New Evidence on Disability Benefit Claims in Britain: The Role of Health and the Local Labour Market

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