1,720,953 research outputs found
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
Essays in Industrial Organization and Econometrics
This dissertation consists of three chapters relating to
identification and inference in dynamic microeconometric models
including dynamic discrete games with many players, dynamic games with
discrete and continuous choices, and semiparametric binary choice and
duration panel data models.
The first chapter provides a framework for estimating large-scale
dynamic discrete choice models (both single- and multi-agent models)
in continuous time. The advantage of working in continuous time is
that state changes occur sequentially, rather than simultaneously,
avoiding a substantial curse of dimensionality that arises in
multi-agent settings. Eliminating this computational bottleneck is
the key to providing a seamless link between estimating the model and
performing post-estimation counterfactuals. While recently developed
two-step estimation techniques have made it possible to estimate
large-scale problems, solving for equilibria remains computationally
challenging. In many cases, the models that applied researchers
estimate do not match the models that are then used to perform
counterfactuals. By modeling decisions in continuous time, we are able
to take advantage of the recent advances in estimation while
preserving a tight link between estimation and policy experiments. We
also consider estimation in situations with imperfectly sampled data,
such as when we do not observe the decision not to move, or when data
is aggregated over time, such as when only discrete-time data are
available at regularly spaced intervals. We illustrate the power of
our framework using several large-scale Monte Carlo experiments.
The second chapter considers semiparametric panel data binary choice
and duration models with fixed effects. Such models are point
identified when at least one regressor has full support on the real
line. It is common in practice, however, to have only discrete or
continuous, but possibly bounded, regressors. We focus on
identification, estimation, and inference for the identified set in
such cases, when the parameters of interest may only be partially
identified. We develop a set of general results for
criterion-function-based estimation and inference in partially
identified models which can be applied to both regular and irregular
models. We apply our general results first to a fixed effects binary
choice panel data model where we obtain a sharp characterization of
the identified set and propose a consistent set estimator,
establishing its rate of convergence under different conditions.
Rates arbitrarily close to n-1/3 are
possible when a continuous, but possibly bounded, regressor is
present. When all regressors are discrete the estimates converge
arbitrarily fast to the identified set. We also propose a
subsampling-based procedure for constructing confidence regions in the
models we consider. Finally, we carry out a series of Monte Carlo
experiments to illustrate and evaluate the proposed procedures. We
also consider extensions to other fixed effects panel data models such
as binary choice models with lagged dependent variables and duration
models.
The third chapter considers nonparametric identification of dynamic
games of incomplete information in which players make both discrete
and continuous choices. Such models are commonly used in applied work
in industrial organization where, for example, firms make discrete
entry and exit decisions followed by continuous investment decisions.
We first review existing identification results for single agent
dynamic discrete choice models before turning to single-agent models
with an additional continuous choice variable and finally to
multi-agent models with both discrete and continuous choices. We
provide conditions for nonparametric identification of the utility
function in both cases.</p
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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