Paper/Speech Details of Conference Program for the 26th NISPAcee Annual Conference Program Overview VII. Public Administration Education Author(s) Valeriya Utkina Higher School of Economics Moscow Russian Federation Title Factors determining the Choice of Public Administration as a Profession in modern Russia. Does Gender matter? File Paper files are available only for conference participants, please login first. Presenter Valeriya Utkina Abstract In the Russian universities, the ratio of girls to boys on public administration programs is on average 2: 1. Given the fact that in modern Russia Public administration is still perceived as a «male» profession, girls are actively enrolling in the bachelor's program with a major in public administration. This study is a continuation of the one we started last year. We still interested what motivates young women to study public administration, and then go to work for the Russian public service. While using qualitative analysis in the first part of our research (last year) we came to the conclusion that, on the one hand, women in Russia graduated with РА qualification, as a rule, do not aspire to the highest levels of power, on the other hand, the pursuit of a horizontal "expert in your field" is a meaningful career expectations for them (often in spite of the low salaries). We want to understand (with the help of quantitative methods) why young women go to study at the Public Administration, while the chance to achieve a managerial position in the public sector for women is rather low. What are the factors that determine choice to study public administration for Russian youth and why? Does gender matters? To answer these questions we will be helped by a quantitative study – an observation (questionnaires) of 1st year students of ‘Public Administration’ bachelor programs in Russian top universities (State and Municipal Administration, HSE, Lomonosov Moscow State University, PFUR) (about 1000 respondents are expected). Then we are to build a regression model (using SPSS) to identify the dependence of variables (gender, city of residence, points of the Unified State Examination, etc.)
