discuss the relationship between your findings that those of the previous literature that is motivating your analysis

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Step-by-Step Instructions 1. Your first task is to choose which research question you will work on. You will spend some time during the lab in week 2 exploring the project data and making some initial choices. How to decide? o Skim through the following two articles (they can easily be found online). I mean skim – they are both very long, but they are useful as they cover many different potential causes of pay inequality. § Hills, J. (2010) An Anatomy of Economic Inequality in the UK An Anatomy of Economic Inequality in the UK - Report of the National Equality Panel. LSE STICERD Research Paper No. CASE report 60 § Longhi S., and Platt, L. (2008) Pay Gaps Across Equalities Areas: An analysis of pay gaps and pay penalties by sex, ethnicity, religion, disability, sexual orientation and age using the Labour Force Survey. Institute for Social and Economic Research, Research Report 9. University of Essex. o Based on these articles, identify a source of pay gaps in the UK other than gender that interests you. A possible, but by no means exhaustive list would include location, disability, ethnicity etc. o Be sure that there are variables in our project dataset that allow you to explore your topic (and if there are not, choose a topic that does have relevant variables). 2. Next, use Google Scholar or the QMUL library website to identify 3 additional journal articles or academic working papers that examine the pay gap of your choice. These must be from peer-reviewed sources – not journalistic ones. 3. Use these three studies (plus relevant parts of Longhi & Platt, and Hills) to motivate your own empirical inquiry into the pay gap of your choice. Using the Labour Force Survey data, conduct research and write a report that does the following o Determine whether there are significant differences in pay according to the factor of your choosing o Consider if these differences survive the inclusion of individual-level control variables. Make sure you are explaining why the control variables make sense. o Diagnose your regression results, in terms of key assumptions that might or might not be upheld. o Discuss the relationship between your findings that those of the previous literature that is motivating your analysis. Why might they differ? o Consider the confidence with which we might speak of the relationship you describe being causal. What might limit our confidence, and what strengthens it?

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