Monday, December 7, 2020

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sdmay be smoother because import shares of relatively


volatile commodities such as food, petroleum, and


industrial materials have fallen significantly in the last


fifteen years. At the same time, serviceswhich tend to


grow at a less variable rate than goodshave accounted


for an increasingly large share of total U.S. exports


since the early 180s.


In contrast to growth in housing investment and trade,


growth in consumer spending was only slightly less


volatile in the second period than in the first. The size of


quarterly fluctuations in consumer spending growth fell


from an average of . percent in 15-8 to .1 percent


in 184-8. As we note below, however, the large size of


this component relative to aggregate GDP makes even a


small decline noteworthy. Some analysts have attributed


the volatility decline in this component to a shift away


from the consumption of goods toward the consumption


of services. To be sure, spending on consumer services


tends to be less volatile than spending on household


goods (particularly consumer durables). Our results,


however, show that growth variability dropped in both


categories of spending and that the decrease for goods


was large relative to that for services (Table 1). Thus, a


shift toward spending on services is at best a partial


explanation for the more stable growth in overall consumer


spending.5 Moreover, of all the GDP components,


consumer spending has likely benefited the most


from the spillover effects of increased stability in other


parts of the economy. In particular, reduced volatility in


all categories of GDP tends to lead to steadier growth in


income and, consequently, in household spending.


Growth Contributions and the Decline in Volatility


So far we have explored the changes in the volatility of


growth rates for the individual components of GDP.


We now assess the extent to which these changes have


helped bring about the increased stability of aggregate


growth. To do so, we calculate the volatility of each


component's contribution to real GDP growth. This


"growth contribution" is, roughly speaking, the real


growth rate of the component multiplied by the component's


share of total GDP.6 Unlike growth rates, growth


contributions take into account the size of each component


relative to GDP and provide a convenient measure


for "adding up" the components of output growth. The


volatility of each component's growth contribution over


the two sample periods gives us our measure of that


component's contribution to the decline in aggregate


volatility.7 Significantly, we can obtain such measures


for two components of GDP for which growth rates


cannot be calculatedinventory investment (a subcomponent


of investment) and net exports.


Our calculations reveal that the most important


contributor to the overall reduction in the variability


of aggregate GDP growth is inventory investment


(Table ).8 As the table shows, the volatility of inventory


investment's growth contribution fell from an


average of . percent in the 15-8 period to 1.7 percent


in the 184-8 period. Inventory investment's


large contribution to the increase in the stability of


aggregate GDP growth is striking this component


accounts for just 1 percent of total output. Despite its


small role in overall economic activity, the component


has historically contributed the greatest degree of


volatility to growth in GDP.


The reduction in the volatility of inventory investment's


growth contribution was particularly important


during the most recent recession. In the recessions that


took place during the 15-8 period, declines in inventory


investment accounted for almost the entire drop in


real output. In the 10-1 recession, however, inventory


investment accounted for only about a third of the


peak-to-trough decline in real GDP.


Why has the variability in this segment of the


economy experienced such a steep decline in recent


years? One explanation may be that during the 180s,


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