1,721,028 research outputs found
The long-run behaviour of the real exchange rate: evidence from colonial Pennsylvania
No full textThis paper empirically investigates the time series properties of real exchange rate between Great Britain and colonial Pennsylvania during 1727–1775. Results provide ample evidence of mean-reversion in the real exchange rate
Scale Effects, Innovations and Spillovers: New Insights from Emerging Countries
No full textThere has been a concomitant rise in R&D and the rate of economic growth in emerging countries. Analyzing a panel of 31 emerging countries, we find convincing evidence of scale effects which make government policies potent for long-run growth. This contrasts sharply with the well known findings of Jones (1995a). Innovations show increasing returns to knowledge stock, implying that the diminishing returns assumed by some semi-endogenous growth models might not be generalized. International R&D spillovers raise the innovation bar. The observed growth rates of emerging economies appear in transition therefore their growth rates may recede with the passage of time.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
Basic, Applied and Experimental Knowledge and Productivity ::Further Evidence.
Full text linkAnalyzing a novel dataset, the authors find significantly positive effects of basic, and applied and experimental knowledge stocks on domestic output and productivity for a panel of 10 OECD countries. This updates the work of, among others, Mansfield (1980), Griliches (1986) and Adams (1990), at an international setting
New results and a model of scale effects on growth
No full textThe consensus view in the growth literature is that R&D scale effects are absent in mature industrialized economies but may be present in emerging economies undergoing transition. Scale effects imply a proportional relationship between a stationary I(0) regressand (growth rates of real per capita GDP and/or TFP) and a non-stationary I(1) regressor (the scale of R&D), which gives rise to the problem of unbalanced regression and spurious parameter estimates. This issue has not been adequately addressed in the existing literature. Furthermore, emerging economies have received relatively little attention in this context. We address these issues by (i) accurately measuring R\&D scale and (ii) adopting an appropriate econometric specification and estimator. We find significant scale effects in a panel of emerging countries, but not in developed countries. We propose an endogenous growth model that captures these properties—presence of scale effects during growth transitions, but not at the long-run equilibrium—thereby reconciling our results. Our model predicts that the long-run growth rates of per capita real GDP and TFP are driven by the growth rates of technological innovation and aggregate employment—although, in the case of emerging economies, only technological innovation significantly contributes to TFP growth
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
R&D, Scale Effects and Spillovers ::New Insights from Emerging Countries.
Full text linkThere has been a concomitant rise in R&D and the rate of economic growth in emerging countries. Analyzing a panel of 31 emerging countries, we find convincing evidence of scale effects which make government policies potent for long-run growth. This contrasts sharply with the well-known findings of Jones (1995a). Innovations show increasing returns to knowledge stock, implying that the diminishing returns assumed by some semi-endogenous growth models might not be generalized. International R&D spillovers raise the innovation bar. The observed growth rates of emerging economies appear in transition therefore their growth rates may recede with the passage of time
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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