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The Relationship between Federal Government Revenues and Expenditures in Pakistan

  • Fazal Husain

    (Pakistan Institute of Development Economics, Islamabad)

  • Muhammad Ali Qasim

    (Pakistan Institute of Development Economics, Islamabad)

  • Mahmood Khalid

    (Pakistan Institute of Development Economics, Islamabad)

The paper investigates the relation between expenditures and revenues of the federal government of Pakistan for the period 1978-79 to 2008-09 using the Toda and Yamamoto (1995) methodology. The results show that there is a unidirectional causality from expenditures to revenues. The results indicate evidence of the spend-revenue hypothesis for Pakistan. The Potential investors may construe this government behaviour negatively, therefore, the investment decisions may take into account the possibilities of paying higher taxes in future.

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File URL: http://www.pide.org.pk/pdf/PDR/2010/Volume4/641-649.pdf
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Article provided by Pakistan Institute of Development Economics in its journal The Pakistan Development Review.

Volume (Year): 49 (2010)
Issue (Month): 4 ()
Pages: 641–649

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Handle: RePEc:pid:journl:v:49:y:2010:i:4:p:641-649
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  1. Paresh Kumar Narayan & Seema Narayan, 2006. "Government revenue and government expenditure nexus: evidence from developing countries," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 285-291.
  2. Xiaoming Li, 2001. "Government revenue, government expenditure, and temporal causality: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 485-497.
  3. Alan T. Peacock & Jack Wiseman, 1961. "The Growth of Public Expenditure in the United Kingdom," NBER Books, National Bureau of Economic Research, Inc, number peac61-1, October.
  4. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  5. von Furstenberg, George M & Green, R Jeffrey & Jeong, Jin-Ho, 1986. "Tax and Spend, or Spend and Tax?," The Review of Economics and Statistics, MIT Press, vol. 68(2), pages 179-88, May.
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