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Growing Together: Economic Integration for an Inclusive and - escap

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i. Estimates of regional trade flows<br />

Annex: Technical notes<br />

The <strong>for</strong>ecast trade flows <strong>for</strong> the period 2011-2016 shown in figure II.1 are based on estimates<br />

of regional trade flows using the gravity equation. The upper <strong>for</strong>ecast is based on a model that<br />

includes a time trend, namely<br />

,<br />

where x ijt are the logarithms of exports from region i to region j in year t, y it <strong>an</strong>d y jt are the<br />

logarithms of the GDPs of regions i <strong>an</strong>d j in year t, <strong>an</strong>d ε ijt is a non-observable error term. The<br />

coefficients β ij capture unobserved <strong>an</strong>d time-invari<strong>an</strong>t factors unique to exports from region i<br />

to j, such as geographical dist<strong>an</strong>ce or trade costs. This model was estimated <strong>for</strong> the period 1993-<br />

2010 using data from the International Monetary Fund, Direction of Trade Statistics <strong>an</strong>d the United<br />

Nations Statistical Division, National Accounts Main Aggregates database. The upper <strong>for</strong>ecasts<br />

were calculated using the estimated equation<br />

<strong>for</strong> the years 2011-2016 based on GDP <strong>for</strong>ecasts from the International Monetary Fund, World<br />

<strong>Economic</strong> Outlook database.<br />

It is import<strong>an</strong>t to keep in mind that the estimate coefficient <strong>for</strong> the time trend 0.1821, or 1.8 per<br />

cent, per year, is based on trade data <strong>for</strong> a period of fast-increasing commodity prices. If these<br />

trends continue during the <strong>for</strong>ecast period, the <strong>for</strong>ecasts will be accurate, but this is uncertain. For<br />

that reason a more conservative, lower <strong>for</strong>ecast was also considered in order to provide a r<strong>an</strong>ge<br />

of possible future trade values. The more conservative <strong>for</strong>ecast is based on the following model<br />

,<br />

which includes time effects instead of a time trend, <strong>an</strong>d was estimated as<br />

,<br />

^<br />

For the <strong>for</strong>ecast period, the estimated time effects β were set to zero, which is their average value<br />

t<br />

during the estimation period. In other words, these lower <strong>for</strong>ecasts assume no time effects (neither<br />

positive nor negative) <strong>for</strong> the period 2011-2016.<br />

140

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