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Private And Government Consumption In Transitional Economies: A Panel Data Analysis

Author

Listed:
  • Nicholas Apergis

    () (Department of Financial & Banking Management, University of Piraeus)

  • Katerina Lyroudi

    () (Department of Accounting and Finance, University of Macedonia)

  • Athanasios Sfetsos

    () (Research Center Demokritos)

Abstract

This paper investigates the presence of the relationship between private and government consumption through panel data techniques. Using a panel from different transitional countries, from 1990 to 2003, it applies the panel cointegration and causality methodologies. The study finds statistical evidence for a long run relationship between the variables under study. The empirical findings do not support the Ricardian Equivalence, since government consumption affects private consumption negatively in both methodological approaches.

Suggested Citation

  • Nicholas Apergis & Katerina Lyroudi & Athanasios Sfetsos, 2008. "Private And Government Consumption In Transitional Economies: A Panel Data Analysis," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 33(1), pages 113-131, June.
  • Handle: RePEc:jed:journl:v:33:y:2008:i:1:p:113-131
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    File URL: http://www.jed.or.kr/full-text/33-1/6.pdf
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    Cited by:

    1. Waqas, Muhammad & Awan, Masood Sarwar, 2011. "Are Pakistani Consumers Ricardian?," MPRA Paper 35375, University Library of Munich, Germany.

    More about this item

    Keywords

    Private & Government Consumption; Ricardian Equivalence; Transitional Economies; Panel Data;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • H62 - Public Economics - - National Budget, Deficit, and Debt - - - Deficit; Surplus
    • P20 - Economic Systems - - Socialist Systems and Transition Economies - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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