A Model of Technological Progress in the Microprocessor Industry

Pillai, Unni

doi:10.1111/joie.12037

Cited by 22 publications

(13 citation statements)

References 33 publications

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“…Faster relative growth of TFP in ICT production is usually attributed to the relatively rapid pace of advances in computing and semiconductor technology, espe-cially in the speed of microprocessors (MPUs) used in computers (Jorgenson, 2001)-and, according to many accounts, such advances stepped down a notch in the first half-decade of the 2000s (Hilbert and López, 2011;Pillai, 2011Pillai, , 2013. By contrast, advances in communications technology, i.e., internet and wireless technologies, continue at a similar pace (Byrne and Corrado, 2015a,b).…”

Section: Technology and Randdmentioning

confidence: 99%

ICT Services and their Prices: What do they tell us about Productivity and Technology?

Byrne

Corrado

2017

FEDS

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This paper reassesses the link between ICT prices, technology, and productivity. To understand how the ICT sector could come to the rescue of a whole economy, we extend a multi-sector model due to Oulton (2012) to include ICT services (e.g., cloud services) and use it to calibrate the steady-state contribution of the ICT sector to growth in aggregate U.S. labor productivity. Because ICT technologies diffuse through the economy increasingly via purchases of cloud and data analytic services that are not fully accounted for in the standard narrative on ICT's contribution to economic growth, the contribution of ICT to growth in output per hour going forward is found to be substantially larger than generally thought-1.4 percentage points per year. One reason why the estimated contribution is so large is that official ICT asset prices are found to substantially understate the productivity of the sector. The model developed in this paper also has implications for the relationship between prices for ICT services and prices for the capital stocks (i.e., ICT assets) used to supply them. In particular, ICT service prices may diverge from asset prices and capture productivity gains from ICT asset management by the sector.

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Section: Technology and Randdmentioning

confidence: 99%

ICT Services and their Prices: What do they tell us about Productivity and Technology?

Byrne

Corrado

2017

FEDS

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“…While the slowdown in the price decrease has been documented by several authors (see Aizcorbe et al 2008;Bryne et al, 2013;Pillai, 2011;and Gordon, 2012;, it is important to note with Cette (2014) that "it cannot be excluded that the slowdown of the chip price decrease observed from the early 2000s in the US national account statistics, and which would mean a deceleration of the chip and ICT performances, is in reality at least partly a chip price mis-measurement". Already Wyckoff (1994) noted that "the variations which exist in the price indexes are largely due to differences in the methods countries use to capture changes in the quality of an industry's output over time".…”

Section: Figure 3 Ict Capital Coefficient In Selected Economies 199mentioning

confidence: 83%

Зарубежный Опыт Обучения Населения Цифровой Грамотности

Афанасьевич¹,

Валерьевна²

2018

Russian Journal of Labor Economics

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Complete document available on OLIS in its original formatThis document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. DSTI/ICCP(2015)18/FINAL Unclassified English -Or. English DSTI/ICCP(2015)18/FINAL 32 FOREWORDThis report was prepared as part of the documentation for Panel 1.2 of the OECD Ministerial Meeting on the Digital Economy, "Stimulating Digital Innovation across the Economy". It provides information and discussion on policies for the successful adoption and use of information and communication technologies (ICTs) across the economy.Preparation of the document was undertaken by Christian Reimsbach-Kounatze, OECD, based on case studies provided by a group of volunteer countries including: Canada, China, Colombia, Germany, Japan, Korea, Mexico, Norway and Sweden. These case studies are made available in the Annex of the report.The Committee on Digital Economy Policy approved the declassification of this report in May 2016. It is published under the responsibility of the Secretary-General of the OECD. Digital innovation refers to: (i) in a narrow sense, the implementation of a new or significantly improved ICT product (good or service), i.e. ICT product innovation; and (ii) in a broader sense, to the use of ICTs to implement a new or significantly improved product, process, marketing method, or organisational method, i.e. ICT-enabled innovation. ICT product innovation is a major factor for the progressive decrease in ICT prices which remains a key driving force for ICT adoption, and thus for ICT-enabled innovation, across the economy. Data and its analysis have become a fundamental input to innovation, akin to research and development (R&D).Data are an infrastructural resource -a form of capital that cannot be depleted and that can be used for a theoretically unlimited range of productive purposes. Available evidence suggests that firms using data-driven innovation (DDI) have raised productivity faster than non-users by around 5-10%. Greater access to data also has beneficial spill-overs, whereby data can be used and re-used to open up significant growth opportunities, or to generate benefits across society in ways that could not be foreseen when the data were created. In this sense, data are the new "R&D" for 21st century innovation systems.The adoption and use of ICTs including data analytics are associated with higher innovation performance. The share of businesses adopting ICTs is (20% to up to 70%) higher among innovators, depending on the year, the type of ICTs and the type of innovation considered. While differences between innovators and non-innovators are diminishing over time with regard to adoption and use of basic ICTs (such as broadband), they persist and even grow with respect to the use of more advanced ICTs (such as cloud computing). Evidence also shows that firms using data and analytics are more likely to innovate. Furtherm...

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“…While the slowdown in the price decrease has been documented by several authors (see Aizcorbe et al 2008;Bryne et al, 2013;Pillai, 2011;and Gordon, 2012;, "it cannot be excluded that the slowdown of the chip price decrease observed from the early 2000s in the US national account statistics, and which would mean a deceleration of the chip and ICT performances, is in reality at least partly a chip price mis-measurement" (Cette, 2014). Already Wyckoff (1994) noted that "the variations which exist in the price indexes are largely due to differences in the methods countries use to capture changes in the quality of an industry's output over time."…”

Section: Figure 3 Ict Capital Coefficient In Selected Economies 199mentioning

confidence: 98%

Stimulating digital innovation for growth and inclusiveness

2016

OECD Digital Economy Papers

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A Model of Technological Progress in the Microprocessor Industry

Cited by 22 publications

References 33 publications

ICT Services and their Prices: What do they tell us about Productivity and Technology?

ICT Services and their Prices: What do they tell us about Productivity and Technology?

Зарубежный Опыт Обучения Населения Цифровой Грамотности

Stimulating digital innovation for growth and inclusiveness

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