Moore's Law and the Semiconductor Industry: A Vintage Model*

Aizcorbe, Ana; Kortum, Samuel

doi:10.1111/j.1467-9442.2005.00429.x

Cited by 41 publications

(48 citation statements)

References 23 publications

(28 reference statements)

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“…For related work in this industry, see also Aizcorbe and Kortum (2005), Irwin and Klenow (1994), Flamm (1993a and, Gruber (1998), and Nye (1996), Song (2007 and Zulehner (2003).…”

Section: The Semiconductor Industrymentioning

confidence: 99%

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Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry

Siebert¹

2010

The B.E. Journal of Economic Analysis &Amp; Policy

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Previous studies on the measurement of learning-by-doing emphasize the importance of accounting for multi-vintage effects having an impact on firms' production costs through economies of scope. This study shows that accounting for cannibalization effects on the demand side is equally important for the adequate measurement of learning. Since multi-vintage firms anticipate the demand-side cannibalization effects in their production optimization, a previously omitted incentive to decrease production is captured having an impact on the measurement of learning by doing. We derive an empirical model from a dynamic oligopoly game of learning-by-doing and allow cannibalization effects to enter from the demand side. Using quarterly firm-level data for the dynamic random access memory semiconductor industry, we find support for cannibalization effects entering firms' pricing relations resulting in higher estimated learning effects. Abstract Previous studies on the measurement of learning-by-doing emphasize the importance of accounting for multi-vintage effects having an impact on firms' production costs through economies of scope. This study shows that accounting for cannibalization effects on the demand side is equally important for the adequate measurement of learning. Since multi-vintage firms anticipate the demand-side cannibalization effects in their production optimization, a previously omitted incentive to decrease production is captured having an impact on the measurement of learning by doing. We derive an empirical model from a dynamic oligopoly game of learning-by-doing and allow cannibalization effects to enter from the demand side. Using quarterly firm-level data for the dynamic random access memory semiconductor industry, we find support for cannibalization effects entering firms' pricing relations resulting in higher estimated learning effects. JEL: C1, L1, L6, O3. KEYWORDS:

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“…For related work in this industry, see also Aizcorbe and Kortum (2005), Irwin and Klenow (1994), Flamm (1993a and, Gruber (1998), and Nye (1996), Song (2007 and Zulehner (2003).…”

Section: The Semiconductor Industrymentioning

confidence: 99%

“…Aizcorbe and Kortum (2005) and Song (2007) investigate the relationship between the introduction of new vintages, cannibalization effects and drastically declining prices in the microprocessor market.…”

Section: Introductionmentioning

confidence: 99%

Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry

Siebert¹

2010

The B.E. Journal of Economic Analysis &Amp; Policy

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“…Since the introduction of the law in 1965, the law seems to have quite accurately described and predicted the developments of the processing power of components in the semiconductor industry [2]. Although Moore's law is still in effect, currently it is recognized that increasing the processing power of a single processor has reached the physical limitations [3].…”

Section: Introductionmentioning

confidence: 99%

Model-Driven Approach for Supporting the Mapping of Parallel Algorithms to Parallel Computing Platforms

Arkin

Tekinerdoğan

İmre

2013

Lecture Notes in Computer Science

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Abstract. The trend from single processor to parallel computer architectures has increased the importance of parallel computing. To support parallel computing it is important to map parallel algorithms to a computing platform that consists of multiple parallel processing nodes. In general different alternative mappings can be defined that perform differently with respect to the quality requirements for power consumption, efficiency and memory usage. The mapping process can be carried out manually for platforms with a limited number of processing nodes. However, for exascale computing in which hundreds of thousands of processing nodes are applied, the mapping process soon becomes intractable. To assist the parallel computing engineer we provide a model-driven approach to analyze, model, and select feasible mappings. We describe the developed toolset that implements the corresponding approach together with the required metamodels and model transformations. We illustrate our approach for the well-known complete exchange algorithm in parallel computing.

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“…I tried to obtain the price for the most basic version of each microprocessor in terms of processing speed. See Aizcorbe and Kortum (2005) for a more detailed empirical analysis that tests a capital vintage 55 Schaller (1997, p. 54).…”

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confidence: 99%

Prices versus Prizes: Patents, Public Policy, and the Market for Inventions

Spulber

2014

SSRN Journal

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I consider whether government prizes should replace market prices for inventions. The America COMPETES Reauthorization Act of 2010 establishes a framework for government prizes. I examine how the economic benefits of the market for inventions should antitrust and public policy towards patents. I consider the limitations of a prize system in terms of economic efficiency. I find that the deadweight welfare loss argument for replacing market prices with government prizes is flawed. I show how prices in the market for inventions provide state-contingent signals that guide invention, commercialization, innovation, financing, and complementary inventions. I examine how prices in the market for inventions provide indicators of technological change. I conclude that replacing market prices with government prizes would harm invention, innovation and economic growth. JEL Codes: D40, O31, L10

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Moore's Law and the Semiconductor Industry: A Vintage Model*

Cited by 41 publications

References 23 publications

Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry

Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry

Model-Driven Approach for Supporting the Mapping of Parallel Algorithms to Parallel Computing Platforms

Prices versus Prizes: Patents, Public Policy, and the Market for Inventions

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