Information technology and productivity: where are we now and where are we going?

Productivity growth in the U.S. economy jumped during the second half of the 1990s, a resurgence that many analysts linked to developments in information technology (IT). However, shortly after this consensus emerged, demand for IT products fell sharply, leading to a debate about the connection between IT and productivity and about the sustainability of the faster growth. ; This article contributes to this debate in two ways. First, the authors provide updated estimates of the proximate sources of growth using a growth accounting framework that focuses on information technology. Their results confirm that the acceleration in labor productivity after 1995 was driven by the greater use of IT capital goods and the more rapid efficiency gains in the production of these goods. Second, to assess whether the pickup in productivity growth is sustainable, the authors analyze the steady-state properties of a multisector growth model. This exercise generates a range for labor productivity growth of 2 percent to 2 3/4 percent per year, which suggests that much-and possibly all-of the resurgence is sustainable. ; The analysis also highlights that future increases in output will depend on the pace of technological advance in the semiconductor industry and on the extent to which products embodying these advances diffuse through the economy.Information technology ; Productivity ; Technology ; Economic development

Les technologies de l’information et la productivité : situation actuelle et perspectives d’avenir

Dans la deuxième moitié des années quatre-vingt-dix, la croissance de la productivité de l’économie américaine a rebondi, un phénomène que nombre d’analystes ont attribué aux technologies de l’information. Cependant, peu de temps après que ce consensus se soit imposé, la demande pour les produits de technologies de l’information s’effondrait, relançant un vif débat sur le lien entre les technologies de l’information et la productivité, de même que sur la durabilité éventuelle d’une croissance aussi forte. Nous apportons notre contribution à ce débat de deux manières : premièrement, dans le but d’évaluer la robustesse de notre argumentation antérieure, nous prolongerons, jusqu’à la fin de 2001, notre analyse de la comptabilité de la croissance, dont nous avons déjà publié les résultats (Oliner et Sichel, 2000a). Les nouveaux résultats confirment les conclusions de nos travaux antérieurs : la croissance accélérée de la productivité du travail après 1995 découle principalement de l’usage croissant des biens d’équipement de type technologies de l’information et de gains d’efficacité accrus du côté de leur production ; deuxièmement, nous analyserons les propriétés de régime d’état stationnaire d’un modèle de croissance multisectoriel, afin de jauger la durabilité potentielle d’un tel regain de productivité. Nous en déduirons une fourchette de valeurs pour la croissance de la productivité du travail, se situant entre 2 % et 2 ¾ % par année, ce qui laisse présager que l’essentiel – sinon la totalité – de ce regain de vitalité pourrait être durable.Productivity growth in the U.S. economy jumped during the second half of the 1990s, a resurgence that many analysts linked to information technology (IT). However, shortly after this consensus emerged, demand for IT products fell sharply, leading to a lively debate about the connection between IT and productivity and about the sustainability of the faster growth. We contribute to this debate in two ways. First, to assess the robustness of the earlier evidence, we extend the growth-accounting results in Oliner and Sichel (2000a) through 2001. The new results confirm the basic story in our earlier work – that the acceleration in labor productivity after 1995 was driven largely by the greater use of IT capital goods and by the more rapid efficiency gains in the production of IT goods. Second, to assess whether the pickup in productivity growth is sustainable, we analyze the steady-state properties of a multi-sector growth model. This exercise generates a range for labor productivity growth of 2 percent to 2 ¾ percent per year, which suggests that much – and possibly all – of the resurgence is sustainable

How Fast Do Personal Computers Depreciate? Concepts and New Estimates

This paper provides new estimates of depreciation rates for personal computers using an extensive database of prices of used PCs. Our results show that PCs lose roughly half their remaining value, on average, with each additional year of use. We decompose that decline into age-related depreciation and a revaluation effect, where the latter effect is driven by the steep ongoing drop in the constant-quality prices of newly-introduced PCs. Our results are directly applicable for measuring the depreciation of PCs in the National Income and Product Accounts (NIPAs) and were incorporated into the December 2003 comprehensive NIPA revision. Regarding tax policy, our estimates suggest that the current tax depreciation schedule for PCs closely tracks the actual loss of value in a zero-inflation environment. However, because the tax code is not indexed for inflation, the tax allowances would be too small in present value for inflation rates above the very low level now prevailing.

Is the Information Technology Revolution Over?

Given the slowdown in labor productivity growth in the mid-2000s, some have argued that the boost to labor productivity from IT may have run its course. This paper contributes three types of evidence to this debate. First, we show that since 2004, IT has continued to make a significant contribution to labor productivity growth in the United States, though it is no longer providing the boost it did during the productivity resurgence from 1995 to 2004. Second, we present evidence that semiconductor technology, a key ingredient of the IT revolution, has continued to advance at a rapid pace and that the BLS price index for microprocesssors may have substantially understated the rate of decline in prices in recent years. Finally, we develop projections of growth in trend labor productivity in the nonfarm business sector. The baseline projection of about 1.75 percent a year is better than recent history but is still below the long-run average of 2.25 percent. However, we see a reasonable prospect – particularly given the ongoing advance in semiconductors – that the pace of labor productivity growth could rise back up to or exceed the long-run average. While the evidence is far from conclusive, we judge that "No, the IT revolution is not over.

Explaining a Productive Decade

This paper analyzes the sources of recent U.S. productivity growth using both aggregate and industry-level data. The paper confirms the central role of information technology in the productivity revival during 1995-2000 and shows that it played a significant, although smaller, role after 2000. Productivity growth after 2000 appears to have been boosted by industry restructuring and cost cutting in response to profit pressures, an unlikely source of future strength. In addition, the incorporation of intangible capital into the growth accounting framework somewhat diminishes estimates of labor productivity's performance since 2000 and makes the gain during 1995-2000 look larger than in the official data. Finally, the paper examines the outlook for trend growth in labor productivity; the resulting estimate, which is subject to much uncertainty, is centered at 2 1/4 percent a year, faster than the lackluster pace that prevailed before 1995 but somewhat slower than the 1995-2000 average.macroeconomics, productivity growth, labor productivity

Reassessing the Social Returns to Equipment Investment

The recent literature on the sources of economic growth has challenged the traditional growth accounting of the Solow model, which assigned a relatively limited role to capital deepening. As part of this literature, De Long and Summers have argued in two papers that the link between equipment investment and economic growth across countries is stronger than can be generated by the Solow model. Accordingly, they conclude that such investment yields important external benefits. However, their analysis suffers from two shortcomings. First, De Long and Summers have not conducted any formal statistical tests of the Solow model. Second, even their informal rejection of the model fails to survive reasonable tests of robustness. We formally test the predictions of the Solow model using De Long and Summers' data. Our results cast doubt on the existence of externalities to equipment investment. In particular, we find that the empirical link between investment and growth in the OECD countries is fully consistent with the Solow model. Moreover, for De Long and Summers' full sample, the evidence of excess returns to equipment investment is tenuous.

A Retrospective Look at the U.S. Productivity Growth Resurgence

It is now widely recognized that information technology (IT) was critical to the dramatic acceleration of U.S. labor productivity growth in the mid-1990s. This paper traces the evolution of productivity estimates to document how and when this perception emerged. Early studies concluded that IT was relatively unimportant. It was only after the massive IT investment boom of the late 1990s that this investment and underlying productivity increases in the IT-producing sectors were identified as important sources of growth. Although IT has diminished in significance since the dot-com crash of 2000, we project that private sector productivity growth will average around 2.5 percent per year for the next decade, a pace that is only moderately below the average for the 1995-2005 period