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Analysis of inflation and its determinants in Nigeria

Author

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  • Odusanya, Ibrahim Abidemi
  • Atanda, Akinwande AbdulMaliq

Abstract

The study critically analyzed the dynamic and simultaneous inter-relationship between inflation and its determinants in Nigeria between 1970 and 2007. The time series variables properties were examined using the Augmented Dickey Fuller (ADF) unit root test and the result reveals that inflation rate, growth rate of real output and money supply, and real share of Fiscal deficit are stationary at levels, while other incorporated variables in the empirical analysis- real share of Import, Exchange rate and Interest rate-are stationary at first difference. The long-run and short-run mechanism of interaction between inflation and its determinants were examined usig the Augmented Engle-Granger (AEG) cointegration test and Error Correction Mechanism (ECM) model respectively.

Suggested Citation

  • Odusanya, Ibrahim Abidemi & Atanda, Akinwande AbdulMaliq, 2010. "Analysis of inflation and its determinants in Nigeria," MPRA Paper 35837, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:35837
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    File URL: https://mpra.ub.uni-muenchen.de/35837/1/MPRA_paper_35837.pdf
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    References listed on IDEAS

    as
    1. Joseph Hilbe & Roberto Martinez-Espineira, 2005. "NBSTRAT: Stata module to estimate Negative Binomial with Endogenous Stratification," Statistical Software Components S456414, Boston College Department of Economics.
    2. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    3. Dixie Reaves & Randall Kramer & Thomas Holmes, 1999. "Does Question Format Matter? Valuing an Endangered Species," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(3), pages 365-383, October.
    4. Daniel M. Hellerstein, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 860-866.
    5. Mark L. Rockel & Mary Jo Kealy, 1991. "The Value of Nonconsumptive Wildlife Recreation in the United States," Land Economics, University of Wisconsin Press, vol. 67(4), pages 422-434.
    6. Myers, Kelley H. & Parsons, George R. & Edwards, Peter E.T., 2010. "Measuring the recreational use value of migratory shorebirds on the Delaware Bay," MPRA Paper 26126, University Library of Munich, Germany.
    7. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    8. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    9. John R. McKean & Donn M. Johnson & Richard G. Walsh, 1995. "Valuing Time in Travel Cost Demand Analysis: An Empirical Investigation," Land Economics, University of Wisconsin Press, vol. 71(1), pages 96-105.
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    More about this item

    Keywords

    Inflation; determinants; unit root; cointegration; error correction model; Nigeria economy;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology

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