A method for estimating wage, using standardised occupational classifications, for use in medical research in the place of self-reported income

BMC Medical Research Methodology

Chris Dibben²  Tom Clemens¹ 

[1] School of Geography & Geosciences, University of St Andrews, St Andrews, UK;School of Geosciences, University of Edinburgh, Edinburgh, UK

关键词: Social survey;    General health;    Standard occupational classification;    Synthetic data;    Income;   

Others  :  866348
DOI  :  10.1186/1471-2288-14-59

 received in 2014-01-06, accepted in 2014-04-10,  发布年份 2014

【 摘 要 】

Background

Income is predictive of many health outcomes and is therefore an important potential confounder to control for in studies. However it is often missing or poorly measured in epidemiological studies because of its complexity and sensitivity. This paper presents and validates an alternative approach to the survey collection of reported income through the estimation of a synthetic wage measure based on occupation.

Methods

A synthetic measure of weekly wage was calculated using a multilevel random effects model of wage predicted by a Standard Occupational Classification (SOC) fitted in data from the UK Labour Force Survey (years 2001–2010)^a. The estimates were validated and tested by comparing them to reported income and then contrasting estimated and reported income’s association with measures of health in the Scottish Health Survey (SHS) 2003 and wave one (2009) of the UK Household Longitudinal Study (UKHLS).

Results

The synthetic estimates provided independent and additional explanatory power within models containing other traditional proxies for socio-economic position such as social class and small area based measures of socio-economic position. The estimates behaved very similarly to ‘real’, reported measures of both household and individual income when modelling a measure of ‘general health’.

Conclusions

The findings suggest that occupation based synthetic estimates of wage are as effective in capturing the underlying relationship between income and health as survey reported income. The paper argues that the direct survey measurement of income in every study may not actually be necessary or indeed optimal.

【 授权许可】

   
2014 Clemens and Dibben; licensee BioMed Central Ltd.

【 图 表 】

【 参考文献 】

• [1]Galobardes B, Shaw M, Lawlor DA, Lynch JW: Indicators of socioeconomic position (part 2). J Epidemiol Community Health 2006, 60:95-101.
• [2]Galobardes B, Shaw M, Lawlor DA, Lynch JW, Smith GD: Indicators of socioeconomic position (part 1). J Epidemiol Community Health 2006, 60:7-12.
• [3]Benzeval M, Judge K: Income and health: the time dimension. Soc Sci Med 2001, 52:1371-1390.
• [4]Lundberg O, Fritzell J: Income distribution, income change and health: on the importance of absolute and relative income for health status in Sweden. WHO Reg Publ Eur Ser 1994, 54:123-128.
• [5]Lynch JW, Kaplan GA, Shema SJ: Cumulative impact of sustained economic hardship on physical, cognitive, psychological, and social functioning. N Engl J Med 1997, 337:1889-1895.
• [6]Mullis RJ: Measures of economic well-being as predictors of psychological well-being. Soc Indic Res 1992, 26:119-135.
• [7]Duncan GJ: Income dynamics and health. Int J Health Serv 1996, 26:419-444.
• [8]McDonough P, Duncan GJ, Williams D, House J: Income dynamics and adult mortality in the United States, 1972 through 1989. Am J Public Health 1997, 87:1476-1483.
• [9]Menchik PL: Economic status as a determinant of mortality among black and white older men: does poverty kill? Popul Stud 1993, 47:427-436.
• [10]Wolfson M, Rowe G, Gentleman JF, Tomiak M: Career earnings and death: a longitudinal analysis of older Canadian men. J Gerontol 1993, 48:167-179.
• [11]Frijters P, Haisken-DeNew JP, Shields MA: The causal effect of income on health: evidence from German reunification. J Health Econ 2005, 24:997-1017.
• [12]Jones AM, Wildman J: Health, income and relative deprivation: Evidence from the BHPS. J Health Econ 2008, 27:308-324.
• [13]Moore JC, Stinson LL, Welniak EJ: Income measurement error in surveys: a review. J Official Stat-stockh 2000, 16:331-362.
• [14]Turrell G: Income non-reporting: implications for health inequalities research. J Epidemiol Community Health 2000, 54:207-214.
• [15]Davern M, Rodin H, Beebe TJ, Call KT: The effect of income question design in health surveys on family income, poverty and eligibility estimates. Health Serv Res 2005, 40:1534-1552.
• [16]Kim S, Egerter S, Cubbin C, Takahashi ER, Braveman P: Potential implications of missing income data in population-based surveys: an example from a postpartum survey in California. Public Health Rep 2007, 122:753-763.
• [17]Galobardes B, Demarest S: Asking sensitive information: an example with income. Sozial-und Präventivmedizin/Social and Preventive Medicine 2003, 48:70-72.
• [18]Dorling D: Who’s afraid of income inequality? Environ and Planning A 1999, 31:571-574.
• [19]Boyle P, Dorling D: Guest editorial: the 2001 UK census: remarkable resource or bygone legacy of the “pencil and paper era”? Area 2004, 36:101-110.
• [20]White I, McLaren E: The 2011 Census taking shape: the selection of topics and questions. Popul Trends 2009, 35:8-19.
• [21]Walker S, Watson J: NISRA Census Office, Marques dos Santos M. In 2007 Census test: the effects of including questions on income and implications for the 2011 Census. Newport: Office for National Statistics; 2007.
• [22]Office for National Statistics: ONS standard occupational classification 2000. Volume 1: Structure and description of unit groups. Volume 2: The coding index. London: Stationery Office; 2000.
• [23]Zheng B, Agresti A: Summarizing the predictive power of a generalized linear model. Stat Med 2000, 19:1771-1781.
• [24]Backlund E, Sorlie PD, Johnson NJ: The shape of the relationship between income and mortality in the united states* 1 evidence from the national longitudinal mortality study. Ann Epidemiol 1996, 6:12-20.
• [25]Der G, Macintyre S, Ford G, Hunt K, West P: The relationship of household income to a range of health measures in three age cohorts from the West of Scotland. Eur J Public Health 1999, 9:271-277.
• [26]Ecob R, Davey SG: Income and health: what is the nature of the relationship? Soc Sci Med 1999, 48:693-705.