Nearly two years ago, I noted the collapse in world trade, and observed that various explanations for the decline ranged from the drying up of trade financing drying, to amplification due to vertical specialisation, to the composition effect (the fact that durables are over-represented in trade relative to GDP).
The Fall and Rise of World Trade
I followed up in several posts  . This post reviewed the VoxEU survey which assessed the various explanations. Over time, the evidence has accumulated that the composition thesis explains the bulk of the downturn. From the abstract from a paper by Jonathan Eaton, Sam Kortum, Brent Neiman, and John Romalis, entitled Trade and the Global Recession:
The ratio of global trade to GDP declined by nearly 30 per cent during the global recession of 2008- 2009. This large drop in international trade has generated significant attention and concern. Did the decline simply reflect the severity of the recession for traded goods industries? Or alternatively, did international trade shrink due to factors unique to cross border transactions? This paper merges an input-output framework with a gravity trade model and solves numerically several general equilibrium counterfactual scenarios which quantify the relative importance for the decline in trade of the changing composition of global GDP and changes in trade frictions. Our results suggest that the relative decline in demand for manufactures was the most important driver of the decline in manufacturing trade. Changes in demand for durable manufactures alone accounted for 65 per cent of the cross-country variation in changes in manufacturing trade/GDP. The decline in total manufacturing demand (durables and non- durables) accounted for more than 80 per cent of the global decline in trade/GDP. Trade frictions increased and played an important role in reducing trade in some countries, notably China and Japan, but decreased or remained relatively flat in others. Globally, the impact of these changes in trade frictions largely cancel each other out.
The authors take simulate the effects of four types of shocks: (i) demand shocks (or more precisely, shocks to a sector’s share in final demand), (ii) deficit shocks, (iii) productivity shocks, and (iv) trade-friction shocks. The results are shown below:
The finding of a small role for trade costs is at variance with the findings by Jacks, Meissner, and Novy (2009). I don’t have an explanation for the difference in the results.
While the evolution of overall world trade over the 2006-09 period is well explained by demand shocks, this is not necessarily true for all countries. The authors note:
Heterogeneity in the Head-Ries indices found earlier, suggest that trade friction shocks may be more successful in explaining the experiences of some countries. In Figure 15, we examine the proles for some large countries that display di¤erent qualitative patterns. The United States and Germany largely mirror the World, with the set of pure demand shocks explaining most changes in trade to GDP. For Japan, the actual declines are larger in the depths of the recession, and no single shock type can on its own account for the majority of these declines. In China, the decline started earlier and, like Japan, no single shock type captures it. For both Japan and China, the trade friction shocks are arguably the largest factors.
I found this result quite interesting, and I discovered that, in contrast to the strong correlation exhibited by the US (illustrated in this post), the relationship between GDP and imports is attenuated in China and Japan.
Photo: Figure 2 from Eaton, Kortum, Neiman and Romalis (2010).
The deviation from the regression line is particularly pronounced for Japan and China. For these two countries, alternative explanations are more plausible, including trade frictions and vertical specialisation.
Implications for U.S. Exports
The so-called ongoing “currency wars” is intimately linked with the prospects for imports and exports. Real goods exports are currently increasing at a 9% rate, assuming September exports are equal to the average of July and August.
Photo: Figure 1: Log real goods exports, SAAR Ch.2005$, NIPA basis (blue), and on a Census/BEA trade release basis (red), normalized to 0 at 2009Q2. NBER defined recession dates shaded grey. Sources: BEA, 2010Q2 GDP 3rd release, Census/BEA August trade release, NBER, and author’s calculations.
Note that, given the assumption September exports match with the July-August average, then goods exports are nearly 20% (in log terms, 20.9% in level terms) above the trough in 2009Q2.
Will the pace of increase be sustained? This depends on a large number of factors, most obviously the rate of growth of the rest-of-the-world’s economy (and where the growth is located, geographically). The finding that demand shocks working through the composition of trade (durables are over-represented in trade, durables are extremely sensitive to business cycle fluctuations) explained the bulk of the drop and recovery in trade suggests the stronger the rebound in GDP, the faster the recovery in trade in proportionate terms.
Just because vertical specialisation was not central to the decline and recovery in world trade overall does not mean it won’t be important on a trend basis. That is, increasing fragmentation of the production chain means that exports (and imports) both trend up over time, relative to GDP  [paper]. One dissenting view (which asserts that rising income elasticities were a manifestation of a transition from a Ricardian trade model to a vertical-specialisation model) implies no further increases in income elasticities (Escaith, Lindenberg, and Mirodout, 2010). (Note that the estimates are based on error correction specifications that omit relative prices.)
Even in the absence of ever increasing income elasticities of exports, as long as rest-of-world growth remains strong, exports should continue to grow strongly. I obtain an income elasticity of goods and services exports over the 1973Q4-2010Q2 period of 1.8 (where rest-of-world income is export weighted). The estimated elasticities here and below are based upon an error correction specification described here.
Of course, dollar depreciation would help things along. On the export side, I find a 10% real dollar depreciation induces a $178 billion increase in goods and services exports (assuming a 20% exchange rate pass through) after 2 years. Note that as of Oct 22, the broad nominal dollar index is down by 6.8% relative to 2010M06 (in log terms). Impending quantitative easing  is probably already priced into the dollar, but clearly additional declines in the dollar due to weakening domestic-sourced aggregate demand could provide additional scope for exports.
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