Cross-Country Technology Adoption: Making the Theories Face the Facts.

We examine the diffusion of more than twenty technologies across twenty-three of the world ’s leading industrial economies. Our evidence covers major technology classes such as textile production, steel manufacture, communications, information technology, transportation, and electricity for the period 1788-2001. We document the common patterns observed in the diffusion of this broad range of technologies. Our results suggest a pattern of trickle-down diffusion that is remarkably robust across technologies. Most of the technologies that we consider originate in advanced economies and are adopted there first. Subsequently, they trickle down to countries that lag economically. Our panel data analysis indicates that the most important determinants of the speed at which a country adopts technologies are the country’s human capital endowment, type of government, degree of openness to trade, and adoption of predecessor technologies. We also find that the overall rate of diffusion has increased markedly since World War II because of the convergence in these variables across countries.ECONOMIC GROWTH; HISTORICAL DATA; TECHNOLOGY ADOPTION.

Convergentie levensstandaard treedt niet op

De auteurs zijn respectievelijk KNAW-onderzoeker verbonden aan het Econometrisch Instituut van de Erasmus Universiteit Rotterdam en promovendus bij de Department of Economics van de New York University (VS). Dit artikel is in belangrijke mate gebaseerd op het rapport van dezelfde auteurs Convergence of living standards: an international analysis, Econometrisch Instituut, nr. 9534/A, EUR, Rotterdam, 1995. Voor meer details, literatuurverzijzingen en formele econometrische toetsprocedures, verwijzen wij de lezer naar dit rapport. Met dank aan Mike Dell voor enkele behulpzame suggesties

Critical values for unit root tests in seasonal time series

In this paper, we present tables with critical values for a variety of tests for seasonal and non-seasonal unit roots in seasonal time series. We consider (extensions of) the Hylleberg et al. and Osborn et al. test procedures. These extensions concern time series with increasing seasonal variation and time series with structural breaks in the seasonal means. For each case, we give the appropriate auxiliary test regression, the test statistics, and the corresponding critical values for a selected set of sample sizes. We also illustrate the practical use of the auxiliary regressions for quarterly new car sales in the Netherlands. Supplementary to this paper, we provide Gauss programs with which one can generate critical values for particular seasonal frequencies and sample sizes

Testing stock market convergence: a non-linear factor approach

This paper applies the Phillips and Sul (Econometrica 75(6):1771–1855, 2007) method to test for convergence in stock returns to an extensive dataset including monthly stock price indices for five EU countries (Germany, France, the Netherlands, Ireland and the UK) as well as the US between 1973 and 2008. We carry out the analysis on both sectors and individual industries within sectors. As a first step, we use the Stock and Watson (J Am Stat Assoc 93(441):349–358, 1998) procedure to filter the data in order to extract the long-run component of the series; then, following Phillips and Sul (Econometrica 75(6):1771–1855, 2007), we estimate the relative transition parameters. In the case of sectoral indices we find convergence in the middle of the sample period, followed by divergence, and detect four (two large and two small) clusters. The analysis at a disaggregate, industry level again points to convergence in the middle of the sample, and subsequent divergence, but a much larger number of clusters is now found. Splitting the cross-section into two subgroups including euro area countries, the UK and the US respectively, provides evidence of a global convergence/divergence process not obviously influenced by EU policies

Job Vacancies in Colombia : 1976-2012

Based on the counting of Help-wanted advertisements in print newspapers, we present national vacancy indexes and vacancy rates for Colombia. These series will allow tackling a myriad of questions related to the functioning of the labor markets in emerging economies, where such datasets were not available until now.A partir del conteo de avisos clasificados de empleo en los principales periódicos se construye un índice de vacantes y una tasa de vacantes para Colombia. Este es el primer intento de construir series con representatividad nacional y de tal extensión n