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Demographic regional rankings by media activity on maternal (family) capital

Author

Listed:
  • Irina Kalabikhina

    (Lomonosov Moscow State University, Moscow, Russian Federation)

  • Zarina Kazbekova

    (Lomonosov Moscow State University, Moscow, Russian Federation)

  • German Klimenko

    (Lomonosov Moscow State University, Moscow, Russian Federation)

  • Anton Kolotusha

    (Lomonosov Moscow State University, Moscow, Russian Federation)

Abstract

Based on autoregressive models of distributed lags (ADL models), a sample of publications on maternity (family) capital, using an aggregator Public.ru and the developed list of normative legal acts on maternity capital, the authors assessed the intensity and dynamics of the media reaction to federal legislative initiatives regarding maternal capital, and built demographic rating of Russian regions on the publication activity of electronic media in response to the events of the federal legislative process in the field of maternity capital taking into account the different periodization of the actions of the maternity capital program.

Suggested Citation

  • Irina Kalabikhina & Zarina Kazbekova & German Klimenko & Anton Kolotusha, 2022. "Demographic regional rankings by media activity on maternal (family) capital," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 46-73.
    • Handle: RePEc:ris:apltrx:0452
    as

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    References listed on IDEAS

    as
    1. Ruben Enikolopov & Alexey Makarin & Maria Petrova, 2023. "Online Corrigendum to “Social Media and Protest Participation: Evidence From Russia”," Econometrica, Econometric Society, vol. 91(3), pages 1-24, May.
    2. Charles F. Westoff & Dawn A. Koffman, 2011. "The Association of Television and Radio with Reproductive Behavior," Population and Development Review, The Population Council, Inc., vol. 37(4), pages 749-759, December.
    3. Virginie De Luca Barrusse, 2020. "Discussion on the return of "denatality" in France and its perception between 1974 and 1981," Population and Economics, ARPHA Platform, vol. 4(3), pages 33-56, September.
    4. Ruben Enikolopov & Alexey Makarin & Maria Petrova, 2020. "Social Media and Protest Participation: Evidence From Russia," Econometrica, Econometric Society, vol. 88(4), pages 1479-1514, July.
    5. Irina E. Kalabikhina & Herman A. Klimenko & Evgeny P. Banin & Ekaterina K. Vorobyeva & Anna D. Lameeva, 2021. "Database of digital media publications on maternal (family) capital in Russia in 2006–2019," Population and Economics, ARPHA Platform, vol. 5(4), pages 21-29, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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