Abstract: This dissertation investigates the relation between investment-specific technical change and long-run economic growth. The first essay points out the discrepancy between the steady state growth theorem and recent economic growth driven by information technology. Previous study finds that investment-specific technological progress accounts for 58% of economic growth in the U.S. However, their result hinges on the assumption of the Cobb-Douglas production function. This paper employs the CES production function to investigate the effect of investment-specific technological progress on long-run economic growth. In the steady state, quality improvement in each vintage is directed to expand more functions in one machine, resulting in contraction in the types of capital. The offsetting effect between quality and variety implies that the relative capital income share is constant in the steady state. Empirical tests for the U.S. data show that investment-specific technological progress does not generate long-run economic growth. The elasticity of substitution is significantly less than one, and that there is an offsetting effect to investment-specific technological progress. The second essay investigates the quality changes in capital and labor inputs across 46 industries from 1968 to 2001. We incorporate a time-varying quality measure to the efficiency units of capital. The result indicates that the average quality of capital assets over time has improved 46 percent in the cross industry average. The quality improvement effect accounts for 30 percent in the total growth of the efficiency units of capital. Although the net quantity effect is still the largest component in the growth of the efficiency units of capital, there is significant substitution among different vintages and asset types as well. The average quality growth in the efficiency units of labor is 17 percent. The third essay investigates unbalanced growth facts and their implications for existing growth theory. We find that the balanced growth implication is consistent with data for the United States at the national aggregate level, but not at a more disaggregate level and internationally. Among the various unbalanced growth facts, the increases in the depreciation rates of equipment and of aggregate capital have the most significant impact on the growth theory. Under the Cobb-Douglas framework, an increasing depreciation rate of equipment can result in rising, constant, or declining rate of return of equipment, depending on the magnitude of the decreasing net marginal product effect and the capital loss effect.

Our answer: Not so well. We reached that conclusion after reviewing recent research on the role of technology as a source of economic fluctuations. The bulk of the evidence suggests a limited role for aggregate technology shocks, pointing instead to demand factors as the main force behind the strong positive comovement between output and labor input measures.

Demand for less skilled workers decreased dramatically in the US and in other developed countries over the past two decades. We argue that pervasive skill-biased technological change rather than increased trade with the developing world is the principal culprit. The pervasiveness of this technological change is important for two reasons. First, it is an immediate and testable implication of technological change. Second, under standard assumptions, the more pervasive the skill-biased technological change the greater the increase in the embodied supply of less skilled workers and the greater the depressing effect on their relative wages through world goods prices. In contrast, in the Heckscher-Ohlin model with small open economies, the skill-bias of local technological changes does not affect wages. Thus, pervasiveness deals with a major criticism of skill-biased technological change as a cause. Testing the implications of pervasive, skill-biased technological change we find strong supporting evidence. First, across the OECD, most industries have increased the proportion of skilled workers employed despite rising or stable relative wages. Second, increases in demand for skills were concentrated in the same manufacturing industries in different developed countries.

One of the most enduring questions in economics involves how a nation could accelerate the pace of its economic development. One of the most enduring answers to this question is to promote exports -either because doing so directly influences development via encouraging production of goods for export, or because export promotion permits accumulation of foreign exchange which permits importation of high-quality goods and services, which can in turn be used to expand the nation's production possibilities. In either case, growth is said to be export-led; the latter case is the so-called "two-gap" hypothesis (McKinnon, 1964; Findlay, 1973). The early work on export-led growth consisted of static cross-country com parisons (Michaely, 1977; Balassa, 1978; Tyler, 1981; Kormendi and Meguire, 1985). These studies generally concluded that there is strong evidence in favour of export-led growth because export growth and income growth are highly correlated. However, Kravis pointed out in 1970 that the question is an essen tially dynamic one: as he put it, are exports the handmaiden or the engine of growth? To make this determination one needs to look at time series to see whether or not exports are driving income. This approach has been taken in a number of papers (Jung and Marshall, 1985; Chow, 1987; Serletis, 1992; Kunst and Marin, 1989; Marin, 1992; Afxentiou and Serletis, 1991), designed to assess whether or not individual countries exhibit statistically significant evidence of export-led growth using Granger causality tests.

IST shocks are often interpreted as multi-factor productivity (MFP) shocks in a separate investment-producing sector. However, this interpretation is strictly valid only when some stringent conditions are satisfied. Some of these conditions are at odds with the data. Using a two-sector model whose calibration is based on the U.S. Input-Output Tables, the authors consider the implications of relaxing several of these conditions. They show how the effects of IST shocks in a one-sector model differ from those of MFP shocks to an investment-producing sector of a two-sector model. MFP shocks induce a positive short-run correlation between consumption and investment consistent with U.S. data, while IST shocks do not. Illus. This is a print on demand report.

We construct a vintage capital model of economic growth in which the decision to replace old technologies with new ones is modeled explicitly. Depreciation in this environment is an economic, not a physical concept. We describe the balanced growth paths and the transitional dynamics of this economy. We illustrate the importance of vintage capital by analyzing the response of the economy to fiscal policies designed to stimulate investment in new technologies. A revised version of this paper is published in the Journal of Monetary Economics, v. 40, no. 3(December 1997):457-499.

Much is written in the popular literature about the current pace of technological change. But do we have enough scientific knowledge about the sources and management of innovation to properly inform policymaking in technology dependent domains such as energy and the environment? While it is agreed that technological change does not 'fall from heaven like autumn leaves,' the theory, data, and models are deficient. The specific mechanisms that govern the rate and direction of inventive activity, the drivers and scope for incremental improvements that occur during technology diffusion, and the spillover effects that cross-fertilize technological innovations remain poorly understood. In a work that will interest serious readers of history, policy, and economics, the editors and their distinguished contributors offer a unique, single volume overview of the theoretical and empirical work on technological change. Beginning with a survey of existing research, they provide analysis and case studies in contexts such as medicine, agriculture, and power generation, paying particular attention to what technological change means for efficiency, productivity, and reduced environmental impacts. The book includes a historical analysis of technological change, an examination of the overall direction of technological change, and general theories about the sources of change. The contributors empirically test hypotheses of induced innovation and theories of institutional innovation. They propose ways to model induced technological change and evaluate its impact, and they consider issues such as uncertainty in technology returns, technology crossover effects, and clustering. A copublication o Resources for the Future (RFF) and the International Institute for Applied Systems Analysis (IIASA).

American business has recently been under fire, charged with inflated pricing and an inability to compete in the international marketplace. However, the evidence presented in this volume shows that the business community has been unfairly maligned—official measures of inflation and the standard of living have failed to account for progress in the quality of business equipment and consumer goods. Businesses have actually achieved higher productivity at lower prices, and new goods are lighter, faster, more energy efficient, and more reliable than their predecessors. Robert J. Gordon has written the first full-scale work to treat the extent of quality changes over the entire range of durable goods, from autos to aircraft, computers to compressors, from televisions to tractors. He combines and extends existing methods of measurement, drawing data from industry sources, Consumer Reports, and the venerable Sears catalog. Beyond his important finding that the American economy is more sound than officially recognized, Gordon provides a wealth of anecdotes tracing the postwar history of technological progress. Bolstering his argument that improved quality must be accurately measured, Gordon notes, for example, that today's mid-range personal computers outperform the multimillion-dollar mainframes of the 1970s. This remarkable book will be essential reading for economists and those in the business community.