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Wimmesberger, F. Role of Maternal Age in Fiscal Analysis: The Case of Germany. Sozialer Fortschritt, 99999(), 1-25. https://doi.org/10.3790/sfo.2024.1435201
Wimmesberger, Florian Maximilian "Role of Maternal Age in Fiscal Analysis: The Case of Germany" Sozialer Fortschritt 99999., 2024, 1-25. https://doi.org/10.3790/sfo.2024.1435201
Wimmesberger, Florian Maximilian (2024): Role of Maternal Age in Fiscal Analysis: The Case of Germany, in: Sozialer Fortschritt, vol. 99999, iss. , 1-25, [online] https://doi.org/10.3790/sfo.2024.1435201
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Role of Maternal Age in Fiscal Analysis: The Case of Germany

Wimmesberger, Florian Maximilian

Sozialer Fortschritt, Vol. (2024), Online First : pp. 1–25

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Article Details

Publisher Name
Duncker & Humblot
DOI
https://doi.org/10.3790/sfo.2024.1435201
Language
German
Pages
25
Keywords

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Author Details

Wimmesberger, Florian Maximilian, Institute for Public Finance and Social Policy and Research Center for Generational Contracts, University of Freiburg, Bertold­straße 17, 79098 Freiburg im Breisgau.

References

  1. Auerbach, A. J./Gokhale, J./Kotlikoff, L. J. (1991): Generational Accounts: A Meaningful Alternative to Deficit Accounting, Tax Policy and the Economy, 5: S. 55–110.  Google Scholar
  2. Auerbach, A. J./Gokhale, J./Kotlikoff, L. J. (1992): Generational Accounting: A New Approach to Understanding the Effects of Fiscal Policy on Saving, Scandinavian Journal of Economics, 94(2): S. 303–318.  Google Scholar
  3. Auerbach, A. J./Gokhale, J./Kotlikoff, L. J. (1994): Generational Accounts: A Meaningful Way to Evaluate Fiscal Policy, Journal of Economic Perspectives, 8(1): S. 73–94.  Google Scholar
  4. Bahnsen, L./Fetzer, S./Franke, F./Hagist, C. (2020): Gone with the Windfall – Germany’s Second LTC Strengthening Act and its Intergenerational Implications, Journal of the Economics of Ageing, 17: S. 1–12.  Google Scholar
  5. Bahnsen, L./Kohlstruck, T./Raffelhüschen, B./Seuffert, S./Wimmesberger, F. (2020): Fiskalische und intergenerative Auswirkungen der Corona-Pandemie, ifo Schnelldienst 73(9): S. 59–65.  Google Scholar
  6. Bahnsen, L./Raffelhüschen, B. (2019): Zur Reform der Pflegeversicherung: Eine Generationenbilanz, ifo Schnelldienst 72(1): S. 29–35.  Google Scholar
  7. Bahnsen, L./Wimmesberger, F. M. (2023): Curbing the Demographic ‘Drifting Dune’ in Long Term Care Insurance Financing: The Case of Germany, International Social Security Review 76(1): S. 35–56.  Google Scholar
  8. Barclay, K./Myrskylä, M. (2016): Advanced Maternal Age and Offspring Outcomes: Reproductive Aging and Counterbalancing Period Trends, Population and Development Review 42(1): S. 69–94.  Google Scholar
  9. Benz, U./Fetzer, S. (2006): Indicators for Measuring Fiscal Sustainability: A Comparison of the OECD Method and Generational Accounting, FinanzArchiv 62(3): S. 367–391.  Google Scholar
  10. Bergemann, A./Riphahn, R. T. (2023): Maternal employment effects of paid parental leave, Journal of Population Economics 36: S. 139–178.  Google Scholar
  11. Bock, M. J./Jarvis, G. C./Corey, E. L./Stone, E. E./Gribble, K. E. (2019): Maternal age alters offspring lifespan, fitness, and lifespan extension under caloric restriction, Scientific Reports 9(3138): S. 1–16.  Google Scholar
  12. Bohk, C. (2012): Ein probabilistisches Bevölkerungsprognosemodell – Entwicklung und Anwendung für Deutschland, Wiesbaden, Germany.: VS Verlag für Sozialwissenschaften, Springer.  Google Scholar
  13. Bohk-Ewald, C./Li, P./Myrskylä, M. (2018): Forecast accuracy hardly improves with method complexity when completing cohort fertility, Proceedings of the National Academy of Sciences of the United States of America 115(37): S. 9187–9192.  Google Scholar
  14. Bonin, H. (2001): Generational Accounting: Theory and Application, Population Economics, Berlin, Germany: Springer.  Google Scholar
  15. Cannan, E. (1895): The Probability of a Cessation of the Growth of Population in England and Wales During the Next Century, The Economic Journal 5(20): S. 505–515.  Google Scholar
  16. Concialdi, P. (2006): Demography, the Cost of Pensions and the Move to Pension Funds, Review of Political Economy 18(3): S. 301–315.  Google Scholar
  17. Cygan-Rehm, K. (2016): Parental leave benefit and differential fertility responses: evidence from a German reform, Journal of Population Economics 29 (1): S. 73–103.  Google Scholar
  18. European Commission and Directorate-General for Economic and Financial Affairs/Caretta, A./Eckefeldt, P./Arévalo, P./Berti, K. (2019): The intergenerational dimension of fiscal sustainability. Publications Office.  Google Scholar
  19. Febrero, E./Cadarso, M.-Á. (2006): Pay-As-You-Go versus funded systems. Some critical considerations, Review of Political Economy 18(3): S. 335–357.  Google Scholar
  20. Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ) (2020): Agenda 2030 – Nachhaltige Familienpolitik. URL: https://www.bmfsfj.de/bmfsfj/service/publikationen/agenda-2030-nachhaltige-familienpolitik-142630. Last visited: 09/01/2023.  Google Scholar
  21. Federal Ministry of Finance (BMF) (2022): Ergebnisse der 162. Sitzung des Arbeitskreises “Steuerschätzungen” vom 10. bis 12. Mai 2022. URL: https://www.bundesfinanzministerium.de/Content/DE/Standardartikel/Themen/Steuern/Steuerschaetzungen_und_Steuereinnahmen/Steuerschaetzung/2022-05-12-ergebnisse-162-sitzung-steuerschaetzung.html. Last visited: 09/01/2023.  Google Scholar
  22. Federal Ministry of the Interior and Community (BMI) (1999): Gesetz zur Reform des Staatsangehörigkeitsrechts, Bundesgesetzblatt Jahrgang 1999 Teil I Nr. 38, Bonn, Germany.  Google Scholar
  23. Federal Statistical Office (Destatis) (2019): Bevölkerung Im Wandel – Annahmen Und Ergebnisse Der 14. Koordinierten Bevölkerungsvorausberechnung, Wiesbaden, Germany.  Google Scholar
  24. Federal Statistical Office (Destatis) (2020): Einkommens- und Verbrauchsstichprobe EVS 2018. URL: https: //www.forschungsdatenzentrum.de/de/haushalte/evs, Data received upon request, Wiesbaden, Germany.  Google Scholar
  25. Federal Statistical Office (Destatis) (2021): Sterbetafeln – Ergebnisse aus der laufenden Berechnung von Periodensterbetafeln für Deutschland und die Bundesländer 2018/2020, Wiesbaden, Germany.  Google Scholar
  26. Federal Statistical Office (Destatis) (2022a): Altersspezifische Geburtenziffern von 1950 bis 2020, Data received upon request, Wiesbaden, Germany.  Google Scholar
  27. Federal Statistical Office (Destatis) (2022b): Bevölkerung am 31.12.2019 nach Alters- und Geburtsjahren, Data received upon request, Wiesbaden, Germany.  Google Scholar
  28. Federal Statistical Office (Destatis) (2022c): Volkswirtschaftliche Gesamtrechnungen, Inlandsproduktberechnung, Detaillierte Jahresergebnisse 2021, Fachserie 18, Reihe 1.4, Wiesbaden, Germany.  Google Scholar
  29. Galasso, V./Profeta, P. (2004): Lessons for an ageing society: the political sustainability of social security systems, Economic Policy 19(38): S. 64–115.  Google Scholar
  30. George, M. V./Smith, S. K./Swanson, D. A./Tayman, J. (2004): Population Projections, in: Siegel, J./Swanson, D. (eds.): The Methods and Materials of Demography, Elsevier Academic Press, San Diego, USA: S. 561–601.  Google Scholar
  31. Gietel-Basten, S./Han, X./Cheng, Y. (2019): Assessing the impact of the “one-child policy” in China: A synthetic control approach, PLoS ONE 14(11): S. 1–17.  Google Scholar
  32. Grundy, E. (2006): Ageing and vulnerable elderly people: European perspectives, Ageing and Society 26(1): S. 105–134.  Google Scholar
  33. Gutmann, D./Peters, F. (2020): German Churches in Times of Demographic Change and Declining Affiliation: A Projection to 2060, Comparative Population Studies 45: S. 3–34.  Google Scholar
  34. Jackson, W. A. (2009): Retirement Policies and the Life Cycle: Current Trends and Future Prospects, Review of Political Economy 21(4): S. 515–536.  Google Scholar
  35. Joint Economic Forecast (2022): Gemeinschaftsdiagnose Frühjahr 2022: Von der Pandemie zur Energiekrise – Wirtschaft und Politik im Dauerstress, Halle (Saale), Germany.  Google Scholar
  36. Leslie, P. H. (1945): On the use of matrices in certain population mathematics, Biometrika 33(3): S. 183–212.  Google Scholar
  37. Long, J. F. (1995): Complexity, accuracy, and utility of official population projections, Mathematical Population Studies 5(3): S. 203–216.  Google Scholar
  38. Manthei, G. (2020): Recent German Migration Laws: A Contribution to Fiscal Sustainability, German Politics 30(2): S. 170–188.  Google Scholar
  39. Nelson, J. A. (2009): Ethics, evidence and international debt, Journal of Economic Methodology 16(2): S. 175–189.  Google Scholar
  40. Nisticò, S. (2013): Financing Pay-as-you-go Public Pension Systems: Some Notes in the Light of the Classical-type Theory of Income Distribution, Review of Political Economy 25(3): S. 426–443.  Google Scholar
  41. Pivetti, M. (2006): The ‘principle of scarcity’, pension policy and growth, Review of Political Economy 18(3): S. 379–390.  Google Scholar
  42. Raffelhüschen, B. (1999): Generational Accounting: Method Data and Limitations, in: European Commission (ed.), Generational Accounting in Europe, European Economy – Reports and Studies 6: S. 17–28.  Google Scholar
  43. Raffelhüschen, B. (2021): Soziale Marktwirtschaft vs. marktorientierte Sozialwirtschaft: Ein Scheideweg im Schatten der Corona-Pandemie, in: Tietmeyer, A./Solaro, P.: Neue Herausforderungen der Sozialen Marktwirtschaft: Das deutsche Wirtschaftsmodell in einer globalisierten, digitalen und sozial wie ökologisch fragilen Welt, Springer Gabler: S. 123–152.  Google Scholar
  44. Raffelhüschen, B./Seuffert, S. (2020): Von der Grundrente zum Lebenserwartungsfaktor, Wirtschaftsdienst 10: S. 774–781.  Google Scholar
  45. Rouzet, D./Sánchez, A. C./Renault, T./Roehn, O. (2019): Fiscal challenges and inclusive growth in ageing societies, OECD Economic Policy Papers 27, OECD Publishing, Paris.  Google Scholar
  46. Salles, A./Rossier, C./Brachet, S. (2010): Understanding the long term effects of family policies on fertility: The diffusion of different family models in France and Germany, Demographic Research 22(34): S. 1057–1096.  Google Scholar
  47. Seuffert, S. (2022): Anwartschaftsbasierte Projektion der gesetzlichen Rentenversicherung in der Generationenbilanzierung, Freiburger Schriften zur Finanzwissenschaft und Wirtschaftspolitik, Band 3, Nomos, Baden-Baden, Germany.  Google Scholar
  48. Socio-Economic Panel (2022): Version 37, Data for the years 1984–2020 (SOEP-Core v37, EU-Edition), SOEP Socio-Economic Panel Study, Data received upon request.  Google Scholar
  49. United Nations (1956): Manuals on methods of estimating population – Manual III – Methods for Populations Projections by Sex and Age, Population Studies 25: S. 1–81.  Google Scholar
  50. Vanella, P./Deschermeier, P. (2020): A Probabilistic Cohort-Component Model for Population Forecasting – The Case of Germany, Journal of Population Ageing 13: S. 513–545.  Google Scholar
  51. Vanella, P./Deschermeier, P./Wilke, C. B. (2020): An Overview of Population Projections – Methodological Concepts, International Data Availability, and Use Cases, Forecasting 2(3): S. 346–363.  Google Scholar
  52. Wilson, T. (2016): Evaluation of Alternative Cohort-Component Models for Local Area Population Forecasts, Population Research and Policy Review 35(2): S. 241–261.  Google Scholar
  53. Wimmesberger, F./Seuffert, S. (2024): Myopic fiscal policy during the COVID-19 Pandemic and its Intergenerational Burden, German Politics 33(1): S. 68–85.  Google Scholar
  54. Wray, L. R. (2006): Social security in an Aging Society, Review of Political Economy 18 (3): S. 391–411.  Google Scholar
  55. Zhang, X./Guo, F./Zhai, Z. (2019): China’s Demographic Future Under the New Two-Child Policy, Population Research and Policy Review 38: S. 537–563.  Google Scholar
  56. Zimmermann, K. F. (1984): Grenzen einer Bevölkerungspolitik durch Familienpolitik, Wirtschaftsdienst 64(4): S. 180–185.  Google Scholar

Abstract

Zusammenfassung: Die Rolle des Alters der Mutter bei Geburt in der fiskalischen Analyse: Der Fall von Deutschland

Um die wirtschaftlichen und politischen Herausforderungen aufgrund des demographischen Wandels zu bewältigen, wird Bevölkerungspolitik in Form einer Erhöhung der zusammengefassten Geburtenziffer diskutiert. Das durchschnittliche Alter der Mutter bei Geburt wird dabei nicht berücksichtigt. In der vorliegenden Studie wird die Bedeutung dessen in der fiskalischen Analyse anhand der Generationenbilanzierung untersucht. Die Ergebnisse zeigen, dass aggregierte Indikatoren ungeeignet sind, um die Auswirkungen dieser demografischen Prozesse zu beurteilen. Vielmehr sind besonders intergenerative Aspekte von Bedeutung; dabei stellen die relative altersspezifische Fertilitätsrate und die zusammengefasste Geburtenziffer die maßgeblichen Parameter dar.

Table of Contents

Section Title Page Action Price
Florian Maximilian Wimmesberger: Role of Maternal Age in Fiscal Analysis: The Case of Germany 1
Abstract 1
Zusammenfassung: Die Rolle des Alters der Mutter bei Geburt in der fiskalischen Analyse: Der Fall von Deutschland 1
1. Introduction 2
2. Background 3
3. Methods, Data, Assumptions, and Scenarios 6
3.1 Population Development 6
3.1.1 Method for Population Projection 6
3.1.2 Data and Assumptions 9
3.2 Fiscal Analysis 11
3.2.1 Method of Generational Accounting 11
3.2.2 Data and Assumptions 12
4. Results 13
5. Conclusion 19
References 21
Appendices 25

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