The Economics of Citation

In this paper, we study the citation decision of a scientific author. By citing a related work, authors can make their arguments more persuasive. We call this the correlation effect. But if authors cite other work, they may give the impression that they think the cited work is more competent than theirs. We call this the reputation effect. These two effects may be the main sources of citation bias. We empirically show that there is a citation bias in Economics by using data from RePEc. We also report how the citation bias differs across regions (U.S., Europe and Asia).

Academic Rankings with RePEc

This document describes the data collection and use for the computation of rankings within RePEc (Research Papers in Economics). This encompasses the determination of impact factors for journals and working paper series, as well as the ranking of authors, institutions and geographic regions. The various ranking methods are also compared, using a snapshot of the data.

Student Performance in Traditional vs. Online Format: Evidence from an MBA Level Introductory Economics Class

All previous studies comparing online and face-to-face format for instruction of economics compared courses that were either online or face-to-face format and regressed exam scores on selected student characteristics. This approach is subject to the econometric problems of self-selection omitted unobserved variables. Our study uses two methods to deal with these problems. First we eliminate self-selection bias by using students from a course that uses both instruction formats. Second, we use the exam questions as the unit of observation, and eliminate omitted variable bias by using an indicator variable for each student to capture the effect of differences in unobserved student characteristics on learning outcomes. We report the finding that students had a significantly greater chance of answering a question correctly if it came from a chapter covered online.