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Log of College to Non-College Equivalents 2000 vs. 1980

Log of College to Non-College Equivalents 2000 vs. 1980

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The introduction and diffusion of personal computers are widely viewed as a technological revolution. Using U.S. metropolitan area–level panel data, this paper asks whether links between PC adoption, educational attainment, and the return to skill conform to a model of technological revolutions in which the speed and extent of adoption are endogeno...

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... 1) Results of research by Lin (2011) and Beaudry et al. (2010) indicate that in cities with a high proportion of information technology experts among university graduates, jobs are created faster in new sectors of the economy, among which the IT stands out. Jacobs (1969) identified a leading factor in the city's economic development, the diversity of activities. ...
... According to Berger and Frey (2017), the dominance of extractive or manufacturing industries in the regional economy negatively affects the formation of new sectors. Beaudry et al. (2010) and Chen (2012) state that the United States' employment in the IT sector has a direct positive correlation with a significant concentration of people with higher education. Chen (2012) links the distribution of employment in China's IT sector to favourable living conditions. ...
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... He takes the United States as an example and finds that when the relative supply of skilled workers increases exogenously, the market has altered the direction of technological change due to greater technological complementarity, so the skill premium decreases in the short term but then increases, possibly even exceeding its initial value. The neoclassical model constructed by ref. [14] also supports this conclusion to a certain extent. After major technological innovations, the increase in the supply of skills will only accelerate the transition to new technologies and will not cause the return of skill premiums. ...
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... However, it markedly flattens in the subsequent decade. This could be explained by the phasing out of the first wave of computerization and the fact that the new digitalization wave did not yet start (compare also Beaudry, Doms, and Lewis (2010) for technology waves). ...
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... It can explain the Panorama Económico, Vol. 30 No. 3 change in the estimated relative demand for college work or the change in tasks within nominally identical occupations. Beaudry, Doms, & Lewis (2010) moreover, show that the introduction and dissemination of personal computers are generally considered a technological revolution that creates a link between the adoption of PC, educational attainment, and return to skills, and where the cities are adjusting so unlike the advent of more skill-intensive means of production, and that returns to skills will increase more where skills are abundant, and performance is low. From the labor market, the technology takes a form of factor augmentation that, by complementing high-or low-skilled workers, can generate skill-biased demand shifts, such as significant drops in the real wages of low-skilled workers, particularly men lowgrade (Acemoglu & Autor, 2011). ...
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... Beaudry, Doms, & Lewis [53] moreover, show that the introduction and dissemination of personal computers is generally considered a technological revolution that create a link between the adoption of PC, educational attainment, and return to skills, and where the cities are adjusting so unlike the advent of more skill-intensive means of production, and that returns to skills will increase more where skills are abundant, and performance is low. From the labor market, the technology takes a form of factor augmentation that, by complementing high-or low-skilled workers, can generate skill-biased demand shifts, such as significant drops in the real wages of lowskilled workers, particularly men low-grade [54]. ...
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... 13 On the sub-sample of 13 countries where international labour force survey (or equivalent) data were accessed, relative skills prices (the premium in wages for having a university degree), and quantities (degree share) were estimated at the region level. Such measures of skill supply have been linked to organizational practices and technology in previous papers, including decentralization (Caroli and Van Reenen, 2001) and computer adoption (Beaudry et al., 2010). ...
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... 13 On the sub-sample of 13 countries where international labour force survey (or equivalent) data were accessed, relative skills prices (the premium in wages for having a university degree), and quantities (degree share) were estimated at the region level. Such measures of skill supply have been linked to organizational practices and technology in previous papers, including decentralization (Caroli and Van Reenen, 2001) and computer adoption (Beaudry et al., 2010). ...
... Instead it is adopted in environments where complementary factors are plentiful and cheap. Beaudry et al. (2010) find that US cities with low skill premia adopted computers more intensively, and Garicano and Heaton (2010) find evidence of complementarity between IT and skilled workers in US police departments. ...
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... To test the deduced hypotheses, the economists estimate a simple regression that describes the change in the output of a region between 1980 and 2000 as a function of output at the beginning of the period and a logarithm of the wage gap between college and high school. Beaudry, Doms, and Lewis (2010: 1008-1010 control for some other variables in other regressions. Hypothesis testing proceeds by comparing the deductions from the theoretical model with relevant parameters of econometric models. ...
... Until this point, the story told in the article is in line with Popperian falsificationism. In fact, the authors discuss their actions as an "attempt to falsify" (Beaudry, Doms, Lewis 2010: 1012 the predictions of the theoretical model. ...
... By contrast, the other two pieces of economic research (discussed in sections 4 and 5) reject this view and aim to establish theoretical models that produce observable regularities. Jovanovic and Szentes (2013) and Beaudry, Doms, and Lewis (2010) share the view that the purpose of theoretical models is to reproduce an observable pattern by means of econometrics. On this basis, it is justifiable to conclude that they do not accept the mainstream view on mechanisms. ...
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Recently, two distinct notions of pluralism have been put forward in regard to research methods in economics: (1) model pluralism, stating that economists construct many theoretical models offering descriptions of actual or possible mechanisms and use different models for different purposes, and (2) evidential pluralism, according to which causal claims are established on the basis of theoretical conjecture and by observing the operation of a difference-making factor. In this paper, I make a case for methodological pluralism. I argue that economists not only use different research methods but also interpret their role in causal inference differently — depending on which (big-M) Methodological school they subscribe to. The argument proceeds by analyzing examples of recent economic research appealing to different Methodological commitments.