David Pacini, "The Two-Sample Linear Regression Model with Interval-Censored Covariates", Journal of Applied Econometrics, Vol. 34, No. 1, 2019, pp. 66-81. This paper uses data from two surveys: the Health Survey for England, 2014, and the Family Resources Survey 2013/14. They are owned by NatCen Social Research (University College London), Department of Epidemiology and Public Health and the Department for Work and Pensions, National Centre for Social Research, Office for National Statistics, Social and Vital Statistics Division, respectively. Since the owners do not permit open access, the data cannot be lodged in the JAE Data Archive. The data are held at the UK data archive: https://www.ukdataservice.ac.uk/ The data are accessible under an End User Licence, which is obtained after registration in the UK data archive. UK University users can register using the username and password issued by their institutions following the instructions at https://www.ukdataservice.ac.uk/get-data/how-to-access/registration Non UK users need to apply for a username using the form http://www.data-archive.ac.uk/sign-up/credentials-application The Health Survey for England 2014 has study number SN7919. Documentation for this survey is available at https://discover.ukdataservice.ac.uk/catalogue/?sn=7919&type=Data%20catalogue The following variables were used Code Description Age90 Self-reported age at last birthday/ years -top coded 90- Sex Self-reported sex / 1=male,0 = female Adults Number of Adults in the household Children Number of Children aged 2-16 Infants Number of infants under the age of two BMIval Valid BMI using estimated weight if weight >130 totinc Total Household Income / 31 bands -Annual Activb Activity Status Last Week SOC2010B Occupation / Standard Occupation Classification 2010 Origin3 Ethnic Groups / 17 groups 'Sex' and 'Age90' were used to select the subsamples of males and females aged 20-79 living in England. 'Children' and 'Infants' were added to create a new variables with the Number of Dependent Children in Household 'Activb' and 'SOC2010B' were used to create the derived variable 'occu' with the following categories: 0 Not Working for any other reason 1 Managers Directors & Senior Officials 2 Professional Occupations 3 Associate Prof. & Technical Occupations 4 Admin & Secretarial Occupations 5 Skilled Trades Occupations 6 Caring leisure and other service occupations 7 Sales & Customer Service 8 Process, Plant & Machine Operatives 9 Elementary Occupations 10 Unemployed 11 Retired Individuals not reporting BMI, income, occupation or ethnicity were droped. The Family Resources Survey 2013/2014 has study number SN7753. Documentation for this survey is available at https://discover.ukdataservice.ac.uk/catalogue/?sn=7753&type=Data%20catalogue The following variables were used in the paper SERNUM Serial Number - household PERSON Serial number for individual in a given SERNUM GVTREGN Region in the UK / see below AGE80 Self-reported age at last birthday / years -top coded 80- SEX Self-reported sex / 1=male,0 = female ADULTH Number of Adults in Household DEPCHLDH Number of Dependent Children in Household HHINC Derived Total Household Income / Pounds -Weekly EMPSTATB Employment Status / 14 categories SOC2010 Occupation / Standard Occupation Classification 2010 - 1 digit ETNGRP Ethnic Group / 18 groups 'GVTREGN', 'AGE80', and 'SEX' were used to select the subsamples of males and females aged 20-79 living in England. 'EMPSTATB' and 'SOC2010B' were used to create the derived variable 'occu' with the categories described above. 'ETNGRP' was armonized with the ethnic groups in 'Origin3' in the Health Survey for England. Individuals not reporting income, occupation or ethnicity were droped. All the links in this document were last accessed on 22/07/2018. References Department for Work and Pensions, National Centre for Social Research, Office for National Statistics. Social and Vital Statistics Division. (2016). Family Resources Survey, 2013-2014. [data collection]. 2nd Edition. UK Data Service. SN: 7753, http://doi.org/10.5255/UKDA-SN-7753-2 NatCen Social Research, University College London. Department of Epidemiology and Public Health. (2018). Health Survey for England, 2014. [data collection]. 3rd Edition. UK Data Service. SN: 7919, http://doi.org/10.5255/UKDA-SN-7919-3 David Pacini David Pacini [AT] bristol.ac.uk