1,721,082 research outputs found
2007): “Technology Shocks and Labor Market Dynamics: Some Evidence and Theory
Abstract A positive technology shock may lead to a rise or a fall in per capita hours, depending on how hours enter the empirical VAR model. We provide evidence that, independent of how hours enter the VAR, a positive technology shock leads to a weak response in nominal wage inflation, a modest decline in price inflation, and a modest rise in the real wage on impact and a permanent rise in the long run. We then examine the abilities of several competing theories to account for the evidence. The model that stands out features sticky prices, sticky nominal wages, and habit formation. The same model also does well in accounting for the labor market evidence in the post-Volcker period. JEL classification: E31, E32, E52 Keywords: Technology shock; Labor market; Nominal rigidities; Business cycle. * We are grateful to Susanto Basu, John Fernald, Kevin Moran, and seminar participants at the University of Western Ontario, the Federal Reserve Bank of Atlanta, the Federal Reserve Bank of San Francisco, and the IMF for useful comments. The comments and suggestions from an anonymous referee are especially helpful in improving the exposition in the paper. We thank Susanto Basu and Jordi Gali for providing their data, Rob Vigfusson for providing computer codes, Maher Khaznaji for research assistance, and Joan Gieseke for editorial assistance. Liu wishes to thank the University of Minnesota and the Federal Reserve Bank of Minneapolis for their hospitality. The usual disclaimer applies
This paper is part of the Sustainable Employment Initiative of The Century and Russell Sage Foundations. We are grateful for
This paper is part of the Sustainable Employment Initiative of The Century and Russell Sage Foundations. We are grateful for research assistance from Cristian de Ritis, Daniel Leigh, Kevin Moore, Yelena Takhtamanova, Robert Tchaidze, Gergana Trainor, and Huiyan Zhang. We received helpful suggestions from Martin Baily, Susanto Basu, Hasan Bakhshi, Francisco Gallego, N. Gregory Mankiw, Stephen Nickell, Robert Solow, David Weiman, and many seminar participants. I
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
A General-Equilibrium Asset-Pricing Approach to the Measurement of Nominal and Real Bank Output
This paper addresses the proper measurement of financial service output that is not priced explicitly. It shows how to impute nominal service output from financial intermediaries' interest income, and how to construct price indices for those financial services. We model financial intermediaries as providers of financial services which resolve asymmetric information between borrowers and lenders. We embed these intermediaries in a dynamic, stochastic, general-equilibrium model where assets are priced competitively according to their systematic risk, as in the standard consumption-based capital-asset-pricing model. In this environment, we show that it is critical to take risk into account in order to measure financial output accurately. We also show that even using a risk-adjusted reference rate does not solve all the problems associated with measuring nominal financial service output. Our model allows us to address important outstanding questions in output and productivity measurement for financial firms, such as: (1) What are the correct "reference rates" to use in calculating bank output? In particular, should they take account of risk? (2) If reference rates need to be risk-adjusted, should they be ex ante or ex post rates of return? (3) What is the right price deflator for the output of financial firms? Is it just the general price index? (4) When--if ever--should we count capital gains of financial firms as part of financial service output?
Variations on the Author
“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
We 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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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