The impact of health on wages: Evidence from the British Household Panel Survey

Contoyannis, Paul; Rice, Nigel

doi:10.1007/s001810000073

Cited by 100 publications

(73 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Among the questions addressed have been the impact of schooling on wages (Baltagi and Khanti-Akom, 1990), the impact of health on wages (Contoyannis and Rice, 2001) and the effects of distance on exports and foreign direct investment (Egger and Pfaffermayr, 2004). Here, we apply the Hausman-Taylor estimator to investigate determinants of attendance at football matches.…”

Section: The Hausman-taylor Estimatormentioning

confidence: 99%

Insights for clubs from modelling match attendance in football

Buraimo

Forrest

Simmons

2009

Journal of the Operational Research Society

View full text Add to dashboard Cite

The paper employs data from 2884 matches in the English Football League Championship. It builds a model of determinants of attendance designed to yield results relevant to decision-taking at individual clubs. The model has two innovatory features. It controls for the market size of home and away teams precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. It incorporates these time-invariant covariates in a Hausman-Taylor random effects estimator to take explicit account of variables typically excluded in earlier studies based on fixed effects models. Unlike fixed effects results, Hausman-Taylor estimates permit assessment of the role of market size and quality of the playing squad in determining attendance. Results also quantify the reduction in attendance from televising a match and show that attendance diminishes when a match is played simultaneously with a televised game in a higher status competition.

show abstract

Section: The Hausman-taylor Estimatormentioning

confidence: 99%

Insights for clubs from modelling match attendance in football

Buraimo

Forrest

Simmons

2009

Journal of the Operational Research Society

View full text Add to dashboard Cite

show abstract

“…Our estimated returns to one additional year of job experience for US workers lie between estimates by Hanushek et al (2015) (0.015, and −0.028) and those in Manuelli and Seshadri (2014) (0.10 and −0.02). Regarding health outcomes, Contoyannis and Rice (2001) and Jäckle and Himmler (2010) also use categorical variables for self-reported health measures and provide estimates for the effect on wages separately for men and women in the UK and Germany respectively. The latter find that wages of very healthy men are between 1.3 and 7.8% higher compared to those in poor health.…”

Section: Parametrizationmentioning

confidence: 99%

Development accounting using PIAAC data

Hidalgo-Cabrillana

Kuehn

Lopez-Mayan

2017

SERIEs

View full text Add to dashboard Cite

We carry out a classical development accounting exercise using data from the "Programme for the International Assessment of Adult Competencies" (PIAAC). PIAAC data, available for 30 upper-middle and high-income countries and nationally representative for the working-age population, allow us to construct a multidimensional measure for the stock of human capital in each country, taking into account years of schooling, job experience, cognitive skills, on-the-job-training, and health. Individual level PIAAC data for the US are then used to estimate the weight of each dimension in the human capital composite by running Mincerian wage regressions. We find that differences in physical capital together with our broad measure of human capital account for 42% of the variance in output per worker, compared to only 27% when proxying human capital by average years of schooling only. Differences in cognitive skills play the largest role while experience and health are of lesser importance.Financial support from the Spanish Ministry of Science and Innovation through Grant ECO2013-44920-P is gratefully acknowledged. We would also like to thank an anonymous referee for his or her insightful comments.

show abstract

“…Не так давно Pelkowski & Berger (2004) исследовали влияние здоровья на занятость, заработную плату и количество отработанных часов, проведя различие между временным и необратимым ущербом с помо щью метода фиксированных эффектов. Мы же опирались на другое недавнее исследование, где широко использовался анализ панельных данных (Cotoyannis & Rice 2001). Его авторы предлагают использовать метод оценки Хаусмана-Тейлора (Hausman & Taylor 1981).…”

Section: панельные регрессииunclassified

Population health indicators differentiation: The Kemerovo oblast municipalities case study

Shabashev¹,

Batievskaya²,

Shorokhov³

2017

RETP

View full text Add to dashboard Cite

Европейская по системам и политике здравоохранения Обсерватория Экономические последствия неинфекционных заболеваний и травм в Российской ФедерацииЭкономические последствия неинфекционных заболеваний и травм в Российской ФедерацииЕвропейская обсерватория по системам и политике здравоохранения поддержи вает и пропагандирует разработку научно обоснованной политики здравоохране ния путем подробного тщательного анализа систем здравоохранения в Европе. Под эгидой Европейской обсерватории по системам и политике здравоохранения ученые, политики и другие специалисты анализируют направления реформ в сис теме здравоохранения на основе европейских данных, чтобы всесторонне осве тить политические вопросы в этой сфере.Европейская обсерватория по системам и политике здравоохранения представляет собой партнерство между Европейским региональным бюро ВОЗ, правительствами Бельгии, Греции, Испании, Норвегии, Словении, Финляндии, Швеции, итальян ским регионом Венето, Европейским инвестиционным банком, Институтом «От крытое общество», Всемирным банком, Лондонской школой экономических и по литических наук и Лондонской школой гигиены и тропической медицины.

show abstract

The impact of health on wages: Evidence from the British Household Panel Survey

Cited by 100 publications

References 0 publications

Insights for clubs from modelling match attendance in football

Insights for clubs from modelling match attendance in football

Development accounting using PIAAC data

Population health indicators differentiation: The Kemerovo oblast municipalities case study

Contact Info

Product

Resources

About