Tracking Short-Term Dynamics of Economic Activity in Low-Income Countries in the Absence of High-Frequency GDP Data

22 Pages Posted: 9 Aug 2012

See all articles by Maxwell Opoku-Afari

Maxwell Opoku-Afari

International Monetary Fund (IMF)

Shiv Dixit

Indian School of Business

Date Written: May 2012

Abstract

This paper uses a set of routinely collected high-frequency data in low-income countries (LICs) to construct an aggregate and a comprehensive index of economic activity which could serve (i) as a measure of the direction of economic activity; and (ii) as a useful input in analyzing contemporaneous real sector performance in LICs in the absence of high-frequency, and often outdated, GDP data. It could also serve as a useful tool for policymakers to gauge short-term dynamics of economic activity and shape appropriate and timely policy responses.

Keywords: Short-term Dynamics, Economic Activity, Gdp, Economic Indicators, Economic Models, Gross Domestic Product, Low-income Developing Countries, Econometric Methods: - Single Equation Models, General Aggregative Models

JEL Classification: C19, C63, E32

Suggested Citation

Opoku-Afari, Maxwell and Dixit, Shiv, Tracking Short-Term Dynamics of Economic Activity in Low-Income Countries in the Absence of High-Frequency GDP Data (May 2012). IMF Working Paper No. 12/119, Available at SSRN: https://ssrn.com/abstract=2127014

Maxwell Opoku-Afari (Contact Author)

International Monetary Fund (IMF) ( email )

700 19th Street, N.W.
Washington, DC 20431
United States

Shiv Dixit

Indian School of Business ( email )

Sector 81
Mohali, 143006
India

HOME PAGE: http://shivdixit.com

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