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Estimating short and long-run relationships: a guide for the applied economist

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  • B. Bhaskara Rao

Abstract

Many applied economists face problems in selecting an appropriate technique to estimate short and long-run relationships with the time series methods. This article reviews three alternative approaches viz., general to specific, vector autoregressions and the vector error correction models. As in other methodological controversies, definite answers are difficult. It is suggested that if these techniques are seen as tools to summarize data, as in Smith (2000), often there maybe only minor differences in their estimates. Therefore a computationally attractive technique is likely to be popular.

Suggested Citation

  • B. Bhaskara Rao, 2007. "Estimating short and long-run relationships: a guide for the applied economist," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1613-1625.
    • Handle: RePEc:taf:applec:v:39:y:2007:i:13:p:1613-1625
    DOI: 10.1080/00036840600690256
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    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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