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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

JUNE 2011<br />

VOL 3, NO 2<br />

2. Previous Literature<br />

A number of empirical researches are available on the relationship between oil price and<br />

macroeconomic relationship. For example Hamilton (1983), Burbridge and Harrison (1984),<br />

Gisser and Goodwin (1986), Hooker (1996), Rotemberg and Woodford (1996) found a linear<br />

relationship between the oil price and macroeconomic activities. These studies, however,<br />

concluded that oil price changes have different impacts on the economies overtime. The linear<br />

relationship, however, become weekend during the eighties, because of the smaller energy<br />

intensities, more flexible labor market and improvement in the monetary policies. Blanchard and<br />

Gali (2007).<br />

However with the advent of time the once symmetric linear relationship between oil price and<br />

macroeconomic activities becomes asymmetric. To deal with the phenomena many time series<br />

models have been included the nonlinear oil price specification. For example Mork (1989),<br />

Hamilton (1996), Lee et al (1995), Jimenez-Rodriguez and Sanchez (2005), Lardic and Mignon<br />

(2008) concluded that increase in oil price seems to retard the economic activities by more than<br />

the fall in oil price stimulate it.<br />

Mork (1989) hypothesized that oil price decrease has less impact on the economy than<br />

the oil price increase effects. Defining the oil price increase and decrease by his own way his<br />

results confirmed the asymmetry between oil price and economic activities. Mork defines the<br />

increase in oil price as the positive difference between the current and lag oil price. If the<br />

difference is negative, the positive price will be considered as zero. Similarly, the decrease in oil<br />

price is the negative difference between the current oil price and the one period lag oil price. If<br />

the difference is positive, it will be considered as zero.<br />

Hamilton (1996) forms another asymmetric transformation of oil prices. He stated that<br />

most oil price increases are the correction of earlier decline in oil prices. Thus it seems more<br />

appropriate to compare the current oil price with that during the previous year rather than the<br />

previous month or the previous quarter alone. Hamilton proposed that if oil price in time t is<br />

lower than the previous year, than the increase in oil price is zero and no positive oil shock have<br />

been occurred. Similarly, if the oil price in time t is greater than the previous year, than the<br />

decrease in oil price is zero and no negative oil shock has been occurred.<br />

3. Hypotheses:<br />

This article empirically tests the following:<br />

H 1A : The relationship between the changing oil price and industrial production in Pakistan is<br />

symmetric.<br />

H 2A : The fluctuations in oil prices help improving the forecast of industrial production.<br />

4. Research Methods<br />

4.1 Variables and Data<br />

Monthly data on GDP is not available for Pakistan, therefore the Index of Industrial production<br />

will be used as a proxy for the GDP. (For instance, Kumar (2005), Komain (2006), Abosedra &<br />

Gosh (2007) and Robalo & Salvado (2008) used the Index of Industrial production as a proxy for<br />

the GDP).<br />

Oil price shocks are used as an explanatory variable. The oil shocks are usually defined<br />

in terms of price fluctuations, which may be caused either by the demand or the supply side<br />

forces. In practice it is unlikely for demand to grow rapidly enough to cause a price shock unless<br />

it is motivated by fears of supply shortages. Historically the supply side has been primarily<br />

responsible for the observed oil price shocks. The price shocks may be positive (a rise) or<br />

negative (a fall) (Wakeford, 2006).We shall use the monthly Brent crude oil price as our variable<br />

for the oil prices.<br />

COPY RIGHT © 2011 Institute of Interdisciplinary Business Research 1538

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