|
on Sociology of Economics |
|
Issue of 2007‒05‒19
four papers chosen by Jonas Holmström Swedish School of Economics and Business Administration |
| By: | Badi H. Baltagi (Center for Policy Research, Maxwell School, Syracuse University, Syracuse, NY 13244-1020) |
| Abstract: | This paper updates Baltagi's (2003, Econometric Theory 19, 165-224) rankings of academic institutions by publication activity in econometrics from 1989-1999 to 1989-2005. This ranking is based on 16 leading international journals that publish econometrics articles. It is compared with the prior rankings by Hall (1980, 1987) for the period 1980-1988. In addition, a list of the top 150 individual producers of econometrics in these 16 journals over this 17-year period is provided. This is done for theoretical econometrics as well as all contributions in econometrics. Sensitivity analysis is provided using (i) alternative weighting factors given to the 16 journals taking into account impact citations, excluding self-citations, size and age of the journal, (ii) alternative time intervals, namely, (2000-2005), (1995-2005), and (1989-2005), (iii) alternative ranking using the number of articles published in these journals, (iv) separate rankings for both institutions and individuals by journal, (v) rankings for institutions and individuals based on publications in three core econometrics journals. This paper is forthcoming in Econometric Theory. |
| Keywords: | Econometrics rankings, Econometrics journals, Econometric theory, Applied econometrics. |
| JEL: | C01 |
| Date: | 2007–05 |
| URL: | http://d.repec.org/n?u=RePEc:max:cprwps:94&r=sog |
| By: | Daniel Hamermesh (University of Texas at Austin, NBER and IZA) |
| Abstract: | This examination of the role and potential for replication in economics points out the paucity of both pure replication - checking on others' published papers using their data - and scientific replication - using data representing different populations in one's own work or in a Comment. Several controversies in empirical economics illustrate how and how not to behave when replicating others' work. The incentives for replication facing editors, authors and potential replicators are examined. Recognising these incentives, I advance proposals aimed at journal editors that will increase the supply of replication studies, and I propose a way of generating more scientific replication that will make empirical economic research more credible. |
| Keywords: | empirical economics, methodology |
| JEL: | A14 B41 C59 |
| Date: | 2007–04 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp2760&r=sog |
| By: | Philip R. P. Coelho (Department of Economics, Ball State University); James E. McClure (Department of Economics, Ball State University) |
| Abstract: | We consider the use of complex mathematics in economics. The evidence suggests that the usage of complex mathematics has escalated significantly over the past half century. The empirical evidence indicates that complex mathematical models in economic theory have generated few operational propositions. However, with only one exception, none of the economics articles that were published in a set of prestigious journals and had 500 or more citations in the journal literature could be considered highly complex using our metrics. In contrast articles in econometrics/statistics that had 500 or more citations in the literature were frequently complex by our metrics. The usage of complex mathematics in the most highly cited articles in economics versus econometrics/statistics was significantly different, both statistically and quantitatively. |
| Date: | 2007–04 |
| URL: | http://d.repec.org/n?u=RePEc:bsu:wpaper:200702&r=sog |
| By: | Iqbal, Javed; Rawish, Abbas |
| Abstract: | Statisticians are the professionals responsible for collection, presentation and analysis of data and help decision making in face of uncertainty. They are the backbone of any institution or activity facing decision under risk and uncertainty. Statistics provides a cost-effective solution for analyzing the data by making decision for a larger set of data based on information from only a smaller part of it. The professional services of statisticians are required in all fields of life for analyzing data and interpretation of the resulting output. Corporate sector is also an important employer of the services of statisticians. This paper is aimed at exploring the factors affecting market for statisticians in the corporate sector of a large urban centre of a developing country. An econometric analysis is carried out using a count data model to explain the factors responsible for the firms employing the services of statisticians. The Count Data models have found several applications in statistics, health economics, recreational studies and finance. This paper contributes to the literature by providing yet another interesting application of the count data model by examining the market for professionals. |
| Keywords: | Statisticians; Count Data Modes; Poisson Regression; Negative Binomial Regression; Developing Economy |
| JEL: | C25 |
| Date: | 2007–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:3266&r=sog |