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Estimating Employment Spillover Effects In New York City with an Application to The Stock Transfer Tax

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  • Jonathan A. Schwabish

    (Partnership for New York City)

Abstract

This article examines the effect of a change in stock market trading volume on employment in the New York City securities industry. This relationship is used as the first stage in an instrumental variables model to determine the effect that securities employment has on other forms of employment in the city. The resulting elasticities imply that a 10 percent decrease in securities industry employment would depress employment in the retail, services, and restaurant sectors by more than 1 percent; in the business services sector by about 4 percent; and in total private jobs by about 1 percent. The elasticities are then applied to New York City employment levels and to a proposal to reinstate the stock transfer tax on the city’s stock markets. At a trading volume decline of 10 percent, these elasticities imply that a stock transfer tax could cost New York City between 30,000 and 42,000 private-sector jobs.

Suggested Citation

  • Jonathan A. Schwabish, 2005. "Estimating Employment Spillover Effects In New York City with an Application to The Stock Transfer Tax," Public Finance Review, , vol. 33(6), pages 663-689, November.
  • Handle: RePEc:sae:pubfin:v:33:y:2005:i:6:p:663-689
    DOI: 10.1177/1091142105278945
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    References listed on IDEAS

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    1. Robert Pollin & James Heintz, 2003. "Evaluation of a Proposal to Reinstate the New York Stock Transfer Tax," Research Reports rr7, Political Economy Research Institute, University of Massachusetts at Amherst.
    2. Motohiro Yogo, 2004. "Estimating the Elasticity of Intertemporal Substitution When Instruments Are Weak," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 797-810, August.
    3. Kelly D. Edmiston, 2004. "The Net Effects of Large Plant Locations and Expansions on County Employment," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 289-320, May.
    4. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    5. Jan Oosterhaven & Dirk Stelder, 2002. "Net Multipliers Avoid Exaggerating Impacts: With A Bi–Regional Illustration for the Dutch Transportation Sector," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 533-543, August.
    6. Carlino, Gerald A. & DeFina, Robert H. & Sill, Keith, 2001. "Sectoral Shocks and Metropolitan Employment Growth," Journal of Urban Economics, Elsevier, vol. 50(3), pages 396-417, November.
    7. Coulson, N. Edward, 1999. "Sectoral sources of metropolitan growth," Regional Science and Urban Economics, Elsevier, vol. 29(6), pages 723-743, November.
    8. Robert Pollin & James Heintz, 2003. "Evaluation of a Proposal to Reinstate the New York Stock Transfer Tax," Challenge, Taylor & Francis Journals, vol. 46(4), pages 71-105.
    9. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    10. Michael Horvath, 1998. "Cyclicality and Sectoral Linkages: Aggregate Fluctuations from Independent Sectoral Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(4), pages 781-808, October.
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