The Measurement of Intellectual Influence

Palacios‐Huerta, Ignacio; Volij, Oscar

doi:10.2139/ssrn.329803

Cited by 80 publications

(96 citation statements)

References 35 publications

(33 reference statements)

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“…This solution has a similar flavour to some of the ways of evaluating the impact of scientific journals (see [7], [8], [9], [10], [11], [12]), as well as with the score allocation in tournaments ([13], [14], [15], [16]). …”

Section: Introductionmentioning

confidence: 99%

On the Comparison of Group Performance with Categorical Data

Herrero

Villar

2013

PLoS ONE

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There are many different evaluation problems that involve several groups (societies, firms or institutions) whose members can be classified into ordered categories, pursuant to their characteristics or their achievements. This paper addresses these types of problems and provides an evaluation criterion based on the distribution of the agents across categories. The starting point is that of dominance relations in pair-wise comparisons. We say that group i dominates group j when the expected category of a member of i is higher than the expected category of a member of j. We introduce the notion of relative advantage of a group to extend this principle to multi-group comparisons and show that there is a unique evaluation function that ranks all groups consistently in terms of this criterion. This function associates to each evaluation problem the (unique) dominant eigenvector of a matrix whose entries describe the dominance relations between groups in pair-wise comparisons. The working of the model is illustrated by means of three different applications.

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Section: Introductionmentioning

confidence: 99%

On the Comparison of Group Performance with Categorical Data

Herrero

Villar

2013

PLoS ONE

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“…Are there other interesting real world phenomena where inputs from multiple sources need to be aggregated/ranked but the individual inputs are not rankings? Journals can be ranked according to their influence on scientific activity (Palacios‐Huerta and Volij, 2004), theories can be ranked according to their predictive accuracy (Gilboa and Schmeidler, 2003), and researchers may be ranked according to their productivity (Woeginger, 2008). We may even aggregate the judgements of a group of people over a set of logical propositions (List and Petit, 2001; Dietrich, 2007).…”

Section: Why This Classification?mentioning

confidence: 99%

A Primer on Mathematical Modelling in Economics

Rai

Nicholas

2010

Journal of Economic Surveys

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The Commission on Graduate Education in Economics had raised several concerns regarding the role of mathematics in graduate training in economics (Krueger, 1991;Colander, 1998Colander, , 2005. This paper undertakes a detailed scrutiny of the notion of a utility function to motivate and describe the common patterns across mathematical concepts and results that are used by economists. In the process one arrives at a classification of mathematical terms which is used to state mathematical results in economics. The usefulness of the classification scheme is illustrated with the help of a discussion of Arrow's impossibility theorem. Common knowledge of the patterns in mathematical concepts and results could be effective in enhancing communication between students, teachers and researchers specializing in different sub-fields of economics. Where Do Economic Agents Operate?Let us consider a standard question in consumer theory -What will be the optimal consumption bundle of an agent given her utility function, the amount of money she plans to spend and the prices of the goods? Formulating this question is a two-step procedure. In the first step we translate the intuitive understanding of the consumer's problem into a mathematical framework. In the second step we implicitly argue that the consumer will choose that feasible bundle which offers her maximum utility.One may say that this question is stated as if the playground is given and we want to predict how the player will play. The crucial thing to note is that mathematics is used, first and foremost, to delineate the precise structure of the playground in which we allow economic agents to operate. Answering how an agent will operate is logically the second step. Economists would summarize the answer to this second question by saying that the agent will optimize given the relevant constraints.We shall be interested in the first step. One of our main goals will be to highlight the common procedure that is used to formulate the playgrounds in which we let economic agents operate. This will allow us to provide a succinct and informative answer to the first question: Where do economic agents operate? In order to answer this question we first need to understand the meaning of a utility function.

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“…Another source of uncertainty is the method by which journals are ranked. For example, Kalaitzidakis et al () use iterative impact factors to rank journals, Palacio‐Huerta and Volij () use a recursive method based on impact factors, Bergstrom () develops the Eigenfactor scoring system, while Combes and Linnemer () use a combination of JCR citation indices and Google Scholar h‐indices. Even ignoring the uncertainty in any specific rank of journals, there also is uncertainty as to the appropriate way in which to rank journals.…”

Section: Introductionmentioning

confidence: 99%

Accounting for Multiplicity in Inference on Economics Journal Rankings

Horrace¹,

Parmeter²

2017

Southern Economic Journal

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Nearly all journal ranking analyses assume that rank statistics of journal quality are deterministic, yet they are clearly random. The only study to recognize ranking uncertainty is Stern (2013), which calculates standard errors for a ranking of five‐year impact factors for 232 economics journals and performs inference using a series of univariate t‐tests. We revisit the Stern study but perform multivariate inference to control the overall error rate of the testing procedure. The results are compared and differences highlighted.

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The Measurement of Intellectual Influence

Cited by 80 publications

References 35 publications

On the Comparison of Group Performance with Categorical Data

On the Comparison of Group Performance with Categorical Data

A Primer on Mathematical Modelling in Economics

Accounting for Multiplicity in Inference on Economics Journal Rankings

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