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on Information and Communication Technologies |
By: | Esterling, Kevin (University of California, Riverside); Lazar, David (Northeastern University and Harvard University); Neblo, Michael (Ohio State University) |
Abstract: | Do legislators learn to use new communication technologies from each other? Using data from the official homepages of members of the U.S. House of Representatives, we test whether web-based communication technology diffuses through congressional state delegations. We use a natural experimental design that exploits ignorable state boundaries to distinguish between causal diffusion processes and spatial heterogeneity. Using nonlinear conditional autoregressive models for the statistical test, we find that web communication technology practices are weakly driven by communication within state delegations, and with the effect slightly more pronounced among Democrats than among Republicans. |
Date: | 2009–08 |
URL: | http://d.repec.org/n?u=RePEc:ecl:harjfk:rwp09-029&r=ict |
By: | Tai-Yoo KIM; Almas HESHMATI; Jihyun PARK (Technology Management, Economics and Policy Program(TEMEP), Seoul National University) |
Abstract: | Economies in knowledge-based societies grow faster than in previous agricultural and industrial societies. This growth is based on the information and communications technology (ICT) development. The production function of ICT industries shows increasing returns to scale. The network effect of ICT development causes increasingly accelerated production and consumption values as the market gets larger in all supply and demand aspects. Thus, ICT development is the fundamental driving force of the faster economic growth, accelerated by increasing returns to scale and the network effect. Early investment in ICT achieves steep economic growth. The definition and characteristics of a knowledge-based society are given, and the nature, causes, and patterns of the faster acceleration of it are explained. |
Keywords: | Knowledge-based society, Information society, Post-industrial society, Economic development, Faster acceleration, Industrial policy, Technical change |
JEL: | L16 O11 O47 |
Date: | 2009–08 |
URL: | http://d.repec.org/n?u=RePEc:snv:dp2009:200913&r=ict |
By: | Tierney, Heather L. R.; Pan, Bing |
Abstract: | A new area of research involves the use of Google data, which has been normalized and scaled to predict economic activity. In this paper, Poisson regressions are used to explore the relationship between the online traffic to a specific website and the search volumes for certain keyword search queries, along with the rankings of that specific website for those queries. Daily and weekly data are used to discuss the effects that normalization, scaling, and aggregation have on the empirical findings, which are frequency-dependent. |
Keywords: | Poisson Regression; Search Engine; Google Insights; Aggregation |
JEL: | C43 D83 C25 |
Date: | 2009–11–04 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:18413&r=ict |
By: | Robert Salais (IDHE - Institutions et Dynamiques Historiques de l'Economie - CNRS : UMR8533 - Université Panthéon-Sorbonne - Paris I - Université Paris VIII Vincennes-Saint Denis - Université de Paris X - Nanterre - École normale supérieure de Cachan - ENS Cachan, CMB - Centre Marc Bloch - Ministère des Affaires étrangères et européennes - CNRS : USR3130 - Bundesministerium für Bildung und Forschung - Ministère de l'Enseignement Supérieur et de la Recherche Scientifique) |
Abstract: | I discuss what the Open Method of Coordination does, not from the point of view of its procedures, but via the cognitive instruments that serve as tools for coordination, benchmarking and adjustment of national policies. This helps to connect with the analysis of conventions with regards to employment and unemployment. |
Keywords: | Social Europe; conventions; employment; open method of coordination |
Date: | 2007–12–17 |
URL: | http://d.repec.org/n?u=RePEc:hal:journl:halshs-00429896_v1&r=ict |