Occupational data Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 3 on ‘Dealing.

Slides:



Advertisements
Similar presentations
Child Rights Toolkit Comprehensive Toolkit To Address Children's Rights In Development & Humanitarian Cooperation And Government Programming.
Advertisements

For the e-Stat meeting of 6-7 April 2011 Paul Lambert / DAMES Node inputs 1)Updates on DAMES 2)Bringing DAMES inputs to e-Stat 3)Misc. feedback - Stat-JR.
Data and Resources for Learning and Teaching from ESDS Government ESDS Government data and resources Issues for teachers.
Doing a Dissertation Step 1: Choosing your subject Choose something that is: original uses data that have not been used before manageable data exist project.
DAMES - Data Management through e-Social Science 1 DAMES: Data Management through e-Social Science NCeSS Research Node University of Stirling / University.
Centre for Housing Research, University of St Andrews Occupational mobility and neighbourhood effects: a longitudinal study ESRC Seminar Series – 4 & 5.
Title: Gender and Age related impact of Disability on Household Economic Vulnerability: analysis from the REVEAL study in Myanmar Introduction and Method:
Harmonisation Explained. Introduction The Next few slides will explain; What is harmonisation? Who are the Harmonisation Team? Why Harmonise? Governance.
1.2.4 Statistical Methods in Poverty Estimation 1 MEASUREMENT AND POVERTY MAPPING UPA Package 1, Module 2.
Comparative Methods in Research on Gender Wendy Sigle-Rushton ESRC Methods Festival 2 July 2008 St. Catherine’s College, Oxford.
Regional Workshop for African Countries on Compilation of Basic Economic Statistics Pretoria, July 2007 Administrative Data and their Use in Economic.
Classifications and CASCOT Ritva Ellison Institute for Employment Research University of Warwick.
© University of Reading 2006www.reading.ac. uk June 1, 2015 Can Australia build a way out of its affordability problems? Lessons from the UK Geoffrey Meen.
CULTURAL AND SOCIOECONOMIC DETERMINANTS OF ANTIBIOTIC CONSUMPTION IN THE U.S. Megan Orlando Health Grand Challenge 2011 Center for Disease Dynamics, Economics.
Methodology for a school- leavers’ survey Irena Kogan MZES, University of Mannheim.
Measuring Social Class Need to know: The meaning of social class How social class is measured Reasons for measuring it Changes in Social Class.
CHIEN-WEN PENG NATIONAL TAIPEI UNIVERSITY I-CHUN TSAI NATIONAL UNIVERSITY OF KAOHSIUNG STEVEN BOURASSA UNIVERSITY OF LOUISVILLE 06/25/ 2010 Determinants.
Did you sleep here last night? The impact of the household definition in sample surveys: a Tanzanian case study Tiziana Leone, Ernestina Coast (LSE) Sara.
Using data to inform policies: Reducing Poverty by Supporting Caregivers, People Living With HIV/AIDS (PLWA) and Orphans and Vulnerable Children (OVC)
GEOG3025 Census and administrative data sources 3: Integration and future development.
ESRC - NCRM - Apr Concepts and Measures in occupation-based social classifications Presentation to: ‘Interpreting results from statistical modelling.
Understanding Trends in Occupational Sex Segregation By Daniel Guinea-Martin Advanced Centre for Scientific Research, Spain (formerly at the Office for.
U.S. Decennial Census Finding and Accessing Data Summer Durrant October 20, 2014 Data & Geographical Information Librarian Research Data Services
GEODE, 16 Jan 2007 Occupational Analysis – Issues and Examples Grid Enabled Occupational Data Environment GEODE Project workshop, 16 th January 2007 Vernon.
Strong and weak ties as predictors of occupational position Dave Griffiths and Paul Lambert University of Stirling 18 th March 2012 Sunbelt Conference,
Family background and young adults’ housing outcomes, Rory Coulter Housing Studies Association conference, University of York,
Does Formative Feedback Help or Hinder Students? An Empirical Investigation 2015 DEE Conference Carlos Cortinhas, University of Exeter.
ISCO-08 - Current Status and plans to support implementation David Hunter Department of Statistics International Labour Office United Nations Expert Group.
SAMS AND MICRO-DATA: NEW AREAS OF RESEARCH Paul Schreyer OECD IIOA Towards New Horizons of Innovation, Environment and Trade Kitakyushu July 2013.
Intergenerational Social Mobility in the UK
Thomas HeckeleiPublishing and Writing in Agricultural Economics1 Publishing and Writing in Agricultural Economics Promotionskolleg Agrarökonomik 1Introduction.
GEODE - eSS Manchester, June 2006 Development of a Grid Enabled Occupational Data Environment GEODE – Paper presented.
Does Inequality Matter in China? Lina Song University of Nottingham.
WHAT IS YOUNG LIVES? Young Lives is an international research project that is recording changes in child poverty over 15 years and the factors affecting.
American Community Survey Overview September 4, 2013 Tim Gilbert American Community Survey Office.
Did you sleep here last night? The impact of the household definition in sample surveys: a Tanzanian case study Tiziana Leone, Ernestina Coast (LSE) Sara.
Growing Up and Moving On: Family Involvement in Transition Lauren Lindstrom, Ph.D. University of Oregon Youth Transition Program Conference February 16,
We provide information Toward Harmonisation of Housing Questions Q_2014 Vlasta Zucha Richard Heuberger Directorate Social Statistics Vienna.
Self-employment and relative Poverty in Turkey Ahmet Yereli, Necmidden Bagdadioglu and Alparslan Basaran Hacettepe University, Department of Public Finance.
A discussion of Comparing register and survey wealth data ( F. Johansson and A. Klevmarken) & The Impact of Methodological Decisions around Imputation.
The availability of Dutch census microdata Eric Schulte Nordholt Senior researcher and project leader of the Census Statistics Netherlands Division Social.
GEODE - Durban ISA RC33, July 2006 Utilising a Grid Enabled Occupational Data Environment GEODE – Paper presented.
SOSC 103D Social Inequality in HK Lecture 16: Causes of Poverty.
The History of the Social Survey - the Social Survey in History Anne Sofie Fink Danish Data Archives.
The Integrated Public Use Microdata Series database IPUMSwww.ipums.org Lab 1 Background on the IPUMS and SPSS.
CROSS-COUNTRY INCOME MOBILITY COMPARISONS UNDER PANEL ATTRITION: THE RELEVANCE OF WEIGHTING SCHEMES Luis Ayala (IEF, URJC) Carolina Navarro (UNED) Mercedes.
A Hands-On Introduction Paul Cichello (PRMPR) John Giles (DECRG) Pierella Paci (PRMPR) The LM-MD Project.
Older household headship and gendered pattern of poverty: Evidence from Thailand, Malee Sunpuwan Target journal: Asia Pacific Population Journal.
Analysis of the characteristics of internet respondents to the 2011 Census to inform 2021 Census questionnaire design Orlaith Fraser & Cal Ghee.
Dataset citation Clickable link to Dataset in the archive Sarah Callaghan (NCAS-BADC) and the NERC Data Citation and Publication team
The implementation programme for the 2008 SNA and supporting statistics UNSD-Regional Commissions Coordination Meeting on Integrated Economic Statistics.
Impact Evaluation of Urban Upgrading Programs Judy Baker, FEU November 19, 2007.
The European Socio-economic Classification: A Programme of Statistical Co-operation and Harmonisation Workshop on Application of ESeC Bled, June
Using official data-sources Tom Spencer, Social Justice Analysis.
MARKO ZOVKO, ACCOUNT MANAGER STEPHEN SMITH, SOLUTIONS SPECIALIST JOURNALS & HIGHLY-CITED DATA IN INCITES V. OLD JOURNAL CITATION REPORTS. WHAT MORE AM.
Samples of Anonymised Records from the U.K. Census 1991 and 2001 Integrating Census Microdata Workshop Barcelona th July 2005 Dr. Ed Fieldhouse Cathie.
Tools of data analysis Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 2 on.
Secondary survey data Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 1 on ‘Dealing.
Linking data resources Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 3 on.
SIMD and the flaws of area- based socio-economic profiles Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership.
Click anywhere to play. Social Stratification, Social Class, and Ethnicity.
Social disparities in private renting amongst young families in England and Wales, Rory Coulter Housing, Wealth and Welfare.
GEODE, March 2007 Occupational Analysis – the examples of: - the Youth Cohort Study of England & Wales - ‘By Slow Degrees’ - social mobility research Grid.
Webinar 4: Academic tools of data analysis: Comparing SPSS, Stata and R and engaging with Higher Education institutions Scottish Civil Society Data Partnership.
Making graphs with academic software tools (SPSS, Stata and R) Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership.
Standard measures and variables Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar.
Comments on Integrating designs for economic variables
Geographic Definitions and Linking
WORKSHOP ON THE DATA COLLECTION OF OCCUPATIONAL DATA Luxembourg, 28 November 2008 Occupation as a core variable in social surveys Sylvain Jouhette
5 November, 2018 Nuku’alofa, Tonga
Presentation transcript:

Occupational data Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 3 on ‘Dealing with data: Using standard measures and variables and linking together datasets’ 10 Mar 2016

Occupational data is great… Abundant Often recorded in relatively fine- grained detail Often recorded for significant other people Valuable information about people, esp. on their enduring social position S-CSDP, 10 Mar Sayer, A. (2011). Habitus, Work and Contributive Justice. Sociology, 45(1), Jonsson, J. O., Grusky, D. B., Di Carlo, M., Pollak, R., & Brinton, M. C. (2009). Microclass Mobility: Social Reproduction in Four Countries. American Journal of Sociology, 114(4), Kurtz, T. (2009). Social Inequality and the Sociology of Work and Occupations. International Review of Sociology, 19(3),

S-CSDP, 10 Mar Some FAQ’s linked to occupations Q: What’s the best way to measure social class? A: Methodologists favour standardised occupation-based measures such as the NS-SEC class scheme based on SOC2010. Q: That sounds hard; can’t I use something else? A: All sorts of things are sometimes used to measure class, e.g. education, tenure, asset ownership, area profile. It is best if you can justify, and clearly document, whatever non-standard measure you choose. Q: What’s the best measure if my target group is mostly old or young? A: For older: occupation, tenure, assets. For younger: Education, occupation, consumption. For nobody: Area profile. Q: It still sounds hard to use occupations? A: It’s a little easier than it seems: Use a standard tool to code to an occupation unit group (e.g. ), then a standard translation code to go from occupations to the measure (e.g. ). Q: What should be done for people who don’t have occupations? A: Methodologists suggest the best approach is: (i) allocate by the occupation of the ‘dominant’ economic position in the household; (ii) use the most recent job if there isn’t a current job; (iii) use the occupation of a significant alter, such as spouse or parent Q: Aren’t there more important socio-economic measures than occupation-based ones? A: Probably not ;-) But there are lots of other interesting socio-economic concepts and measures. There are recommendations and methodological literatures on things such as the best way to measure and analyse income, wealth, housing situation, consumption, poverty, human capital, social capital and regional economic profile (e.g. Bulmer et al. 2010; Shaw et al. 2007: ONS 2012)

The coding stage S-CSDP, 10 Mar The data linkage stage (e.g. uk/workshops) Occ. ‘index file’ from …is linked to microdata from elsewhere, giving new variable(s) based upon occupation match files file=* /table=“index.sav” /by=soc2010 es. …Using occupational data…

Summary on occupational data… Processing occupational data is typically done through research software, but can be done ‘on the fly’ – Usually code both ‘occupational title’ and ‘employment status’ ‘Standard’ measures exist for occupations, including approaches for making comparisons over time/countries S-CSDP, 10 Mar References cited Bulmer, M., Gibbs, J., & Hyman, L. (Eds.). (2010). Social Measurement through Social Surveys: An Applied Approach. Aldershot: Ashgate. Lambert, P. S., & Bihagen, E. (2014). Using occupation-based social classifications. Work, Employment and Society, 28(3), (DOI: / ). ONS. (2012). Office for National Statistics, Guidance and Methodology: Harmonisation Programme. Retrieved 1 May, 2012, from Shaw, M., Galobardes, B., Lawlor, D. A., Lynch, J., Wheeler, B., & Davey Smith, G. (2007). The Handbook of Inequality and Socioeconomic Position: Concepts and Measures. Bristol: Policy Press. Long, J. S. (2009). The Workflow of Data Analysis Using Stata. Boca Raton: CRC Press.