Computers and growth with frictions: aggregate and disaggregate evidence

Abstract Not long ago, discussions of the computer revolution by economists centered on the disappointing payoff computers seemed to be having on aggregate, industry, or firm-level movements in productivity, but this disappointed has passed and the business pages are filled with stories heralding the arrival of the “new economy”. This paper investigates the role of computers, software, and communications equipment in the recent surge in U.S. productivity growth in a neoclassical model of investment and production in an attempt to clarify the potential importance of frictions in the transition to a more computer-intensive mode of production on the productivity effects of high-tech equipment. The estimated response of investment in high-tech equipment to its relative price is substantial and sluggish. The high-price elasticity of high-tech capital implies, in conjunction with reasonable assumptions about future declines in high-tech equipment prices and multifactor productivity throughout the economy, that trend GDP growth over 2001–2005 is likely to range between 3 percent and 3- 3 4 percent. The estimated investment frictions are suggestive of complicated dynamics in the short-run impact of high-tech investment on productivity; firm-level evidence suggests such short-run effects may be important, as do the large costs of training workers and installing high-tech capital.

[1]  Robert E. Lucas,et al.  Adjustment Costs and the Theory of Supply , 1967, Journal of Political Economy.

[2]  Fumio Hayashi,et al.  TOBIN'S MARGINAL q AND AVERAGE q: A NEOCLASSICAL INTERPRETATION , 1982 .

[3]  E. Brynjolfsson,et al.  The Intangible Costs and Benefits of Computer Investments: Evidence from the Financial Markets , 2001 .

[4]  K. Stiroh.  Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say? , 2001 .

[5]  Roy Thurik,et al.  Erim Report Series Research in Management What's New about the New Economy? Sources of Growth in the Managed and Entrepreneurial Economies Bibliographic Data and Classifications , 2022 .

[6]  Bob Chirinko.  Business fixed investment spending: a critical survey of modeling strategies, empirical results, and policy implications , 1992 .

[7]  D. Jorgenson,et al.  Raising the Speed Limit: U.S. Economic Growth in the Information Age , 2000 .

[8]  Stephen D. Oliner,et al.  The Resurgence of Growth in the Late 1990s: Is Information Technology the Story? , 2000 .

[9]  E. Berndt,et al.  High-tech capital formation and economic performance in U.S. manufacturing industries : an exploratory analysis , 1992 .

[10]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[11]  Stephen D. Oliner,et al.  Computers and Output Growth Revisited: How Big Is the Puzzle? , 1994 .

[12]  Margaret Mary McConnell,et al.  Output Fluctuations in the United States: What Has Changed Since the Early 1980s? , 1998 .

[13]  Per Krusell,et al.  Can Technology Improvements Cause Productivity Slowdowns? , 1996, NBER Macroeconomics Annual.

[14]  R. Solow.  We’d better watch out , 1987 .

[15]  Andreas Hornstein.  Growth Accounting with Technological Revolutions , 1999 .

[16]  P. David.  The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox , 1990 .

[17]  Bob Chirinko,et al.  Business Fixed Investment Spending: Modeling Strategies, Empirical Results, and Policy Implications , 1993 .

[18]  D. Jorgenson.  Capital Theory and Investment Behavior , 1963 .

[19]  Jack E. Triplett,et al.  Economic Statistics, the New Economy, and the Productivity Slowdown , 1999 .

[20]  S. Kozicki,et al.  Vector rational error correction , 1999 .

[21]  F. Lichtenberg.  Estimation of the Internal Adjustment Costs Model Using Longitudinal Establishment Data , 1988 .

[22]  Dale W. Jorgenson,et al.  Computers And Growth , 1995 .

[23]  Kevin J. Stiroh,et al.  Computers, Productivity, and Input Substitution , 1998 .

[24]  Per Krusell,et al.  Federal Reserve Bank of Minneapolis Research Department Staa Report # 236 Capital-skill Complementarity and Inequality: a Macroeconomic Analysis , 2022 .

[25]  C. Morrison.  Assessing the Productivity of Information Technology Equipment in U.S. Manufacturing Industries , 1991, Review of Economics and Statistics.

[26]  Bill Lehr,et al.  Information technology and its impact on firm-level productivity: evidence from government and private data sources, 1977-1993 , 1999 .

[27]  L. Summers.  Taxation and Corporate Investment: A q-Theory Approach , 1981 .

[28]  Matti Pohjola,et al.  The New Economy: facts, impacts and policies , 2002, Inf. Econ. Policy.

[29]  D. Jorgenson.  Economic growth in the information age , 2002 .

[30]  M. Yorukoglu,et al.  The Information Technology Productivity Paradox , 1998 .

[31]  E. Brynjolfsson,et al.  Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .

[32]  E. Brynjolfsson,et al.  Information Technology As A Factor Of Production: The Role Of Differences Among Firms , 1995 .