Anastasia joined the Economics Discipline Group in February 2009. Prior to joining UTS, she acquired some corporate experience by working in the mergers & acquisitions advisory group at KPMG Sydney, tax advisory department at PWC Moscow and corporate & acquisition finance team at St. George Bank (Sydney).
Anastasia earned her PhD in Economics at the University of Sydney (Australia). Her research work started with the empirical analysis of the Russian labour market focusing on labour market inequalities and gender occupational differences. A recent focus of her research has been in the area of health economics where she has been investigating changes in the health insurance market and health care utilization in Russia since the collapse of the Soviet Union. Her other research interests include the area of real estate, in particular, the effect of crime on property prices in Australia.
Since joining UTS, Anastasia has developed, coordinated and taught a new course in Labour Economics. She has also been teaching both postgraduate and undergraduate courses including Economics for Management, Economics of the Firm, Economics for Business (1 & 2), Macroeconomics: Theory & Applications and Quantitative Business Analysis.
Labor Economics and Health Economics
Economics for Management, Economics of the Firm, Economics for Business (1 & 2), Macroeconomics: Theory & Applications and Quantitative Business Analysis.
Klimova, A. 2012, 'Gender differences in determinants of occupational choice in Russia', International Journal of Social Economics, vol. 39, no. 9, pp. 648-670.View/Download from: UTS OPUS or Publisher's site
The purpose of this paper is to analyse determinants of occupational allocation by gender, in Russia, between 1994 and 2001, using the only available nationally representative longitudinal survey (RLMS). Design/methodology/approach - Multinomial logit was chosen as the estimation technique for this analysis. Findings - It was found that gender significantly affects occupational distribution after controlling for human capital and other characteristics during all years. Educational attainment was significant for professionals and technicians/associate professionals, while work experience was significant for craft and plant workers. Marital status did not affect females' occupational allocation while married males were less likely to be unskilled and craft workers. It appears that women performed primarily non-geographically dependent jobs and the significance of regional variation for females' employment diminished over time. A comparison of the actual and predicted females' occupation distribution revealed a large over-representation of females in unskilled occupations. Originality/value - The paper makes an original contribution to our understanding of occupational distribution by demonstrating that occupational segregation by gender is a large and economically significant factor in the Russian labour market, even after controlling for individuals' human capital and personal characteristics and for regional variations. The paper illustrates the extent of this segregation by comparing the actual occupational distribution of females to that which would occur if they faced the same structure of occupational determination as males, i.e. in the absence of discrimination and differences in tastes.
Klimova, A. & Ross, R. 2012, 'Gender-based occupational segregation in Russia: An empirical study', International Journal of Social Economics, vol. 39, no. 7, pp. 474-489.View/Download from: UTS OPUS or Publisher's site
The purpose of this paper is to examine trends in gender inequalities in the Russian labour market between 1994 and 2001, the early period of the transition to the market economy from the old Soviet Union. Design/methodology/approach: The paper examines gender occupational segregation using the dataset from a nationally representative longitudinal survey of Russian households, the Russian Labour Market Survey. The occupational segregation index measure developed by Karmel and Maclachlan, known as the KM Index, is applied and extended by decomposing the index into several components. Findings: The KM Index declined over this period, indicating a reduction in the extent of gender inequality, However, the decomposing of the KM index shows that, in contrast to previous research, the decrease in segregation within individual occupations contributed most of the overall fall in gender segregation. Changes in the overall occupational structure and an increase in female employment contributed, albeit marginally, to an increase in segregation. Research limitations/implications: Because of the changes which have continued in Russia since 2001, these research results may lack applicability to current emerging economic circumstances in Russia. Therefore, researchers are encouraged to test the proposed propositions further using data for the period 2005 to 2015 once the data become available. Practical implications: The paper provides rigorous estimates of the trends in gender inequalities at an important period in Russia's economic development and serves as a benchmark for future analysis. Originality/value: This paper provides new detail on the workings of the Russian labour market during the period of transition and as such provides a base against which changes in gender inequalities since 2001 can be measured.
Klimova, A. 2009, 'Gender occupational segregation in the Russian labour market', Far Eastern and South Asia Meetings of the Econometric Society, Tokyo, Japan.
Klimova, A. 2009, 'Gender occupational segregation in the Russian labour market', Singapore Economic Review Conference, Singapore.
We measure the impact of murders on prices and rents of homes in Sydney. We find that housing prices fall by 3.9% for homes within 0.2 miles of the murder, in the year following the murder, and weaker results in the second
year after a murder. We do not find any effects of murders on rents. Higher media coverage and being located closer to the murder (within 0.1 mile) have no additional effect on prices. Taken together, our findings suggest that
proximity to a murder affects nearby property prices, particularly in the first year after the incident.