B
Bart Hobijn
Researcher at Arizona State University
Publications - 165
Citations - 7637
Bart Hobijn is an academic researcher from Arizona State University. The author has contributed to research in topics: Unemployment & Inflation. The author has an hindex of 41, co-authored 161 publications receiving 7046 citations. Previous affiliations of Bart Hobijn include Federal Reserve Bank of New York & Erasmus University Rotterdam.
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Generalizations of the KPSS-test for stationarity
TL;DR: In this article, the authors proposed automatic generalizations of the KPSS-test for the null hypothesis of stationarity of a univariate time series and compared the properties of the tests with those of other proposed tests for stationarity.
Posted Content
Cross-country technology adoption: making the theories face the facts
Diego Comin,Bart Hobijn +1 more
TL;DR: In this paper, the authors examine the diffusion of more than twenty technologies across twenty-three of the world ’s leading industrial economies and find 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.
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Asymptotically perfect and relative convergence of productivity
Bart Hobijn,Philip Hans Franses +1 more
TL;DR: In this paper, the authors examined the extent to which countries are converging in per capita productivity levels and proposed to use cluster analysis in order to allow for the endogenous selection of converging countries.
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Downward Nominal Wage Rigidities Bend the Phillips Curve
TL;DR: In this article, the authors introduce a model of monetary policy with downward nominal wage rigidities and show that both the slope and curvature of the Phillips curve depend on the level of inflation and the extent of downward nominal wages.
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Critical values for unit root tests in seasonal time series
Philip Hans Franses,Bart Hobijn +1 more
TL;DR: In this paper, the authors present tables with critical values for a variety of tests for seasonal and non-seasonal unit roots in seasonal time series, and illustrate the practical use of the auxiliary regressions for quarterly new car sales in the Netherlands.