Estimating the Output Gap of Pakistan on Quarterly Frequency Using Structural Methods

Mian Abdullah Tahir

Abstract


Estimates of latent macroeconomic variables like Output Gap and Potential Output have Monetary and Fiscal policy significance at high data frequency. Unlike previous, this study aims to circumvent the issue of dearth of quarterly national Income accounts for Pakistan by estimating a robust proxy for real total output based on Large Scale Manufacturing Index (LSM). This paper implements three commonly employed methods for estimating the output gap, these include; State–Space model, Wavelet filter and Structural VAR model. I conclude that in line with the macroeconomic aggregates; demand pressures in Pakistan have subsided since FY2009Q3 in addition negative output gap since 2011Q3 is due to slowdown in real economy, i.e., the aggregate supply. Lastly, I forecast that the current trend of low aggregate demand is expected to last until FY2015Q4.

 


Full Text: PDF DOI: 10.5539/ijef.v6n5p233

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This work is licensed under a Creative Commons Attribution 3.0 License.

International Journal of Economics and Finance  ISSN  1916-971X (Print) ISSN  1916-9728 (Online)

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