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Position: Research Assistant
Institution: University College London
Department: Department of Economics
Location: London, United Kingdom
Duties: The job entails conducting a Monte Carlo study to evaluate the finite sample performance of a permutation test. The test is designed to conduct inference on treatment effects for small sample sizes, in presence of attrition and baseline imbalance. The estimator to be evaluated is already programmed in Stata
Requirements: The ideal candidate will a) be able to ensure a significant short-term time commitment, b) be familiar with Stata, c) have good knowledge of both permutation-based inference and simulation studies and d) have a Master’s Degree in Economics and an aptitude and commitment to high quality research
   
Text: Research Assistant, - Ref:1740864 Click here to go back to search results Apply Now UCL Department / Division Department of Economics Location of position London Grade 6 Hours Part Time Hours per week (%FTE) 18.25 hours per week (50% FTE) Salary (inclusive of London allowance) ?30,922 - ?32,607 per annum Salary pro-rata for part time vacancies Duties and Responsibilities DynaHEALTH is a European Horizon 2020 funded research project focused on healthy and active ageing through reducing the risks of obesity and type 2 diabetes, and promoting social functioning and a longer working life, to which UCL participates together with other twelve partners. The UCL team, led by Dr. Gabriella Conti, is responsible for the economic and econometric analysis of a unique set of resources from several countries, including ongoing national birth cohorts followed into later life, administrative registry-based linked data, and unique randomised control trials starting in the prenatal period; many datasets have available biomarkers, including genetic and epigenetic data. Dr. Gabriella Conti is seeking to appoint a research assistant to work on a small assignment as part of the DynaHEALTH Research Project, in collaboration with Stavros Poupakis (UCL postdoc) and Giacomo Mason (UCL PhD candidate). The job entails conducting a Monte Carlo study to evaluate the finite sample performance of a permutation test. The test is designed to conduct inference on treatment effects for small sample sizes, in presence of attrition and baseline imbalance. The estimator to be evaluated is already programmed in Stata. This role is available for one month. Key Requirements The ideal candidate will a) be able to ensure a significant short-term time commitment, b) be familiar with Stata, c) have good knowledge of both permutation-based inference and simulation studies and d) have a Master?s Degree in Economics and an aptitude and commitment to high quality research. Further Details Further particulars for this role can be found at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding this vacancy or the application process please contact Amarjit Sagoo Email: a.sagoo@ucl.ac.uk . UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 23 Sep 2018 Latest time for the submission of applications 23.59 Interview date TBC This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Further particulars Apply Now
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