Ludmila Anatolyevna Kitrar
- Visiting Lecturer: Faculty of Economic Sciences / Department of Statistics and Data Analysis
- Ludmila Anatolyevna Kitrar has been at HSE University since 2009.
Education and Degrees
1990
Candidate of Sciences* (PhD) in Mathematical and Instrumental Methods in Economics1986
DegreeMoscow Institute of Economics and Statistics
Degree
Moscow Institute of Economics and Statistics
Moscow Institute of Economics and Statistics
Doctoral programme
Moscow Institute of Economics and Statistics
Moscow Institute of Economics and Statistics
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Professional interests
- Indicator approach to measuring sectoral and macroeconomic dynamics, business tendency monitoring
- Methods of quantification, analysis and visualization of nonparametric statistics
- Composite indicators of a cyclical nature
- Modern theories of rational expectations and business cycles in the practice of business tendency monitoring
- Econometric methods of decomposition of unobservable variables in economic dynamics: potential output, output gaps, total factor productivity, long-term trends and growth cycles
- Sectoral and regional comparative analysis of economic sentiment, business climate, digital activity and inequality, entrepreneurial expectations
- Vector auto regression models, dynamic factor models, impulse response functions, statistical filtering, etc. in the practice of business tendency monitoring
- International recommendations, standards, classifications, databases, ratings, national practices on industrial statistics and competitiveness
- Indicators, data sets and statistical analysis of industrial policy efficiency and business climate, taking into account the different technological levels and R&D intensity of manufacturing, the convergence of economic growth and the cooperation of countries (BRICS, EEU, CIS)
Awards
- Gratitude from the Higher School of Economics "For a great contribution to the development of the methodology and analysis of the results of business climate surveys and their implementation in practice," 2017
- Medal "For Services in conducting All-Russia population census (2010)"
- Rank "Counselor of Public Service 3hd rank"
- UNIDO international expert