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Regular version of the site
Language Proficiency
English
Contacts
Phone:
+7(495)772-95-90
27036
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room N404
Timetable
SPIN-RSCI: 9597-3180
ORCID: 0000-0002-6383-9562
ResearcherID: B-9217-2014
Scopus AuthorID: 57214225007
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Supervisor
A. Surinov
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Ludmila Anatolyevna Kitrar

    • Ludmila Anatolyevna Kitrar has been at HSE University since 2009.

    Education and Degrees

    1990
    Candidate of Sciences* (PhD) in Mathematical and Instrumental Methods in Economics
    1986
    Degree
    Moscow Institute of Economics and Statistics
    Degree
    Moscow Institute of Economics and Statistics
    Doctoral programme
    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.

    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