IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v10y1992i3p26-38.html

Social Security Investment Policy And Capital Formation

Author

Listed:
  • WILLEM THORBECKE

Abstract

Large recent surpluses in the social security trust fund accounts provide the potential to increase overall national saving and capital formation. However, these surpluses instead have allowed politicians to increase the non‐social security deficit and government consumption. This paper argues that investing the trust funds in private assets could bring into focus the magnitude of the non‐social security deficit and force Congress to cut it. Evidence presented here indicates that the trade deficit, output, and monetary policy are systematic macroeconomic variables that affect relative asset prices. The evidence also supports arguments of Nordhaus and others that a change in trust fund investment policy could lower the trade deficit, raise output, and produce looser monetary policy, thereby increasing Tobin's a and, thus, capital formation. Investing the trust funds in private assets could increase national investment and give the baby‐bust generation more capital to use in producing goods and services for themselves and for retired baby‐boomers.

Suggested Citation

  • Willem Thorbecke, 1992. "Social Security Investment Policy And Capital Formation," Contemporary Economic Policy, Western Economic Association International, vol. 10(3), pages 26-38, July.
  • Handle: RePEc:bla:coecpo:v:10:y:1992:i:3:p:26-38
    DOI: 10.1111/j.1465-7287.1992.tb00233.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1465-7287.1992.tb00233.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1465-7287.1992.tb00233.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Breeden, Douglas T., 1979. "An intertemporal asset pricing model with stochastic consumption and investment opportunities," Journal of Financial Economics, Elsevier, vol. 7(3), pages 265-296, September.
    2. Barro, Robert J, 1990. "The Stock Market and Investment," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 115-131.
    3. Cox, John C. & Ingersoll Junior, Jonathan E. & Ross, Stephen A., 2007. "A theory of the term structure of interest rates," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 47(2), April.
    4. Wilcox, David W, 1989. "Social Security Benefits, Consumption Expenditure, and the Life Cycle Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 288-304, April.
    5. Simon, David P, 1989. "The Rationality of Federal Funds Rate Expectations: Evidence from a Survey: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(3), pages 388-393, August.
    6. Blinder, Alan S & Holtz-Eakin, Douglas, 1984. "Public Opinion and the Balanced Budget," American Economic Review, American Economic Association, vol. 74(2), pages 144-149, May.
    7. Fischer, Stanley, 1988. "Recent Developments in Macroeconomics," Economic Journal, Royal Economic Society, vol. 98(391), pages 294-339, June.
    8. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    9. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    10. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James Ming Chen, 2017. "Systematic Risk in the Macrocosm," Quantitative Perspectives on Behavioral Economics and Finance, in: Econophysics and Capital Asset Pricing, chapter 0, pages 239-274, Palgrave Macmillan.
    2. Branston, Christopher B. & Groenewold, Nicolaas, 2004. "Investment and share prices: fundamental versus speculative components," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 199-226, August.
    3. Abankwa, Samuel & Blenman, Lloyd P., 2021. "Measuring liquidity risk effects on carry trades across currencies and regimes," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    4. Nasseh, Alireza & Strauss, Jack, 2000. "Stock prices and domestic and international macroeconomic activity: a cointegration approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(2), pages 229-245.
    5. Ferson, Wayne E. & Harvey, Campbell R., 1994. "Sources of risk and expected returns in global equity markets," Journal of Banking & Finance, Elsevier, vol. 18(4), pages 775-803, September.
    6. Hardouvelis, Gikas A. & Kim, Dongcheol & Wizman, Thierry A., 1996. "Asset pricing models with and without consumption data: An empirical evaluation," Journal of Empirical Finance, Elsevier, vol. 3(3), pages 267-301, September.
    7. Dimson, Elroy & Mussavian, Massoud, 1999. "Three centuries of asset pricing," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1745-1769, December.
    8. Campbell, John Y, 1993. "Intertemporal Asset Pricing without Consumption Data," American Economic Review, American Economic Association, vol. 83(3), pages 487-512, June.
    9. James Payne, 2003. "Shocks to macroeconomic state variables and the risk premium of REITs," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 671-677.
    10. Malliaris, A.G. & Malliaris, Mary & Rzepczynski, Mark S., 2025. "Explaining the asymmetric S&P 500 equity index in five themes: The success and failure of macro narratives," The Journal of Economic Asymmetries, Elsevier, vol. 31(C).
    11. James Ming Chen, 2017. "Econophysics and Capital Asset Pricing," Quantitative Perspectives on Behavioral Economics and Finance, Palgrave Macmillan, number 978-3-319-63465-4, February.
    12. Jinyong Kim & Yongsik Kim, 2022. "Market‐wide shocks and the predictive power for the real economy in the Korean stock market," Pacific Economic Review, Wiley Blackwell, vol. 27(4), pages 380-399, October.
    13. Umer Mushtaq Lone & Mushtaq Ahmad Darzi & Suhail Ahmad Bhat, 2024. "Macroeconomic State Variables and Stock Market Performance: A Systematic Review and Future Research Agenda," FIIB Business Review, , vol. 13(2), pages 172-191, March.
    14. Liu, Weimin, 2006. "A liquidity-augmented capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 82(3), pages 631-671, December.
    15. Henry, Ólan & Olekalns, Nilss & Shields, Kalvinder, 2010. "Sign and phase asymmetry: News, economic activity and the stock market," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1083-1100, December.
    16. Sellin, Peter, 1998. "Monetary Policy and the Stock Market: Theory and Empirical Evidence," Working Paper Series 72, Sveriges Riksbank (Central Bank of Sweden).
    17. Carmich[ae]l, Benoit & Samson, Lucie, 2005. "Consumption growth as a risk factor? Evidence from Canadian financial markets," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 83-101, February.
    18. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    19. Sang Byung Seo & Jessica A. Wachter, 2019. "Option Prices in a Model with Stochastic Disaster Risk," Management Science, INFORMS, vol. 65(8), pages 3449-3469, August.
    20. Javier de Frutos & Victor Gaton, 2018. "An extension of Heston's SV model to Stochastic Interest Rates," Papers 1809.09069, arXiv.org.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:coecpo:v:10:y:1992:i:3:p:26-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.