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Identifying terms of trade shocks in a developing country using a sign restrictions approach

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  • Kagiso Mangadi
  • Jeffrey Sheen

Abstract

Using annual data for Botswana from 1960 to 2012, we examine the responses of macroeconomic variables to four generalized positive terms of trade shocks – global demand, globalizing, sector-specific and global supply. A sign-restricted structural vector autoregression model with a penalty function is estimated to identify the four possible shocks. While positive global demand and globalization shocks are both expansionary, they have opposite effects on inflation. A positive commodity market specific shock dampens real GDP growth and is inflationary, suggesting a possible Dutch disease response. A negative global supply shock suppresses both output growth and inflation. All but the last shock leads to a significant declining interest rate. Monetary policy contraction is recommended for the first shock and expansion for the others.

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  • Kagiso Mangadi & Jeffrey Sheen, 2017. "Identifying terms of trade shocks in a developing country using a sign restrictions approach," Applied Economics, Taylor & Francis Journals, vol. 49(24), pages 2298-2315, May.
    • Handle: RePEc:taf:applec:v:49:y:2017:i:24:p:2298-2315
    DOI: 10.1080/00036846.2016.1237757
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    4. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    5. Masud Alam, 2024. "Output, employment, and price effects of U.S. narrative tax changes: a factor-augmented vector autoregression approach," Empirical Economics, Springer, vol. 67(4), pages 1421-1471, October.

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