GRADING JOURNALS IN ECONOMICS: THE ABCS OF THE ABDC

Many institutions and governments grade academic journals for the evaluation of research. In this paper, we implement a multi-bibliometric methodology for the evaluation of such a list of journal grades. We examine the grades assigned by the Australian Business Deans Council (ABDC) for over 750 journals in the fields of economics and statistics. Firstly, we generate up to 48 bibliometric-based grades for each journal based on the grade distribution implied by the ABDC. Secondly, we categorize the bibliometrics employing a cluster analysis of an interrater agreement statistic. Thirdly, we present a visualization of the consistency of the grading by journal. Finally, we list those journals where the majority of the matched bibliometrics indicate a higher or lower grade than their ABDC grade.     

Computer knowledge and earnings: evidence for Australia

This paper uses data on wage and salary workers in Australia in 1993 to examine the relation between computer knowledge and earnings. A unique feature of the data set that is used is detailed information on the types and levels of computer skills possessed by individual workers. The main objectives of the study are to contribute to understanding the magnitude and sources of the relation between computer knowledge and earnings. Similar to existing research it is found that there is a large and significant return to computer knowledge, but that the magnitude of the return is substantially reduced in regressions that include detailed occupation controls. Using the detailed information on workers’ computer skills the main finding is that earnings are significantly positively related to the number of types of skills and average level of skills possessed by a worker.     

Cycle and Trend in Models of the Range of Equilibria

This paper investigates the potential of models of the range of equilibria to yield a pattern of equilibrium rates of unemployment that is consistent with the observed mix of cycle with no trend in the rate of unemployment. To do this the paper considers a model in which wages are determined by a group of unionised insiders bargaining with an employer. In the model the supply of labour is endogenous. Specifications of the utility function are found which are consistent with the mix of cycle and no trend in the rate of unemployment. Of these it is concluded that loss aversion in the evaluation of wage relativities is a crucial ingredient for models of the range of equilibria.     

Inferential methods for elasticity estimates

Elasticities are often estimated from the results of demand analysis. However, drawing inferences from them may involve assumptions that could influence the outcome. In this paper we investigate one of the most common forms of elasticity which is defined as a ratio of estimated relationships and demonstrate how the Fieller method for the construction of confidence intervals can be used to draw inferences.     

The Eisner Puzzle,the Unemployment Threshold and the Range of Equilibria

Using a two-regime model of the inflation-unemployment process for US data 1960:2 to 2000:2, this paper finds strong evidence to support the Eisner puzzle, which occurs when the short-run Phillips curve (SRPC) is flatter at low rates of unemployment than at higher rates. The puzzling aspect of this pattern is the expectation of excess demand to become apparent at very low rates of unemployment causing the SRPC to be steep rather than fairly flat. We show the puzzle can be resolved by estimating a three-regime model which reveals a steep SRPC at very low rates of unemployment. The estimates of the three regime model also reveal a horizontal SRPC at intermediate rates of unemployment, implying the existence of a range of equilibrium rates of unemployment at those intermediate rates.

Different strokes for different folks: A method to accommodate decision -making heterogeneity

Consumer decision making is complex and no single perspective offers a complete theory of consumer decision making. While the research community acknowledges that there is heterogeneity, homogenous choice models dominate consumer decision research. This paper provides insights from one method that was designed to accommodate decision -making heterogeneity. Computer process tracing methods can be used to observe different consumer decisions in one product category to understand what and how people choose. More than two-hundred and fifty decisions were observed in this research. Consumers were asked to select one of nine air conditioner alternatives described with six salient attributes. The research findings clearly reveal consumer differences. Specifically, the attributes and decision types used differed resulting in different product choices. This paper reveals how methods that accommodate decision -making heterogeneity can be used by retailers to inform product ranging decisions for categories.     

A non-linear model of the real US/UK exchange rate

This paper provides a framework for building and estimating non-linear real exchange rate models. The approach derives the stationary distribution from a continuous time error correction model and estimates this by MLE methods. The derived distribution exhibits a wide variety of distributional shapes including multimodality. The main result is that swings in the US/UK rate over the period 1973:3 to 1990:5 can be attributed to the distribution becoming bimodal with the rate switching between equilibria. By capturing these changes in the distribution, the non-linear model yields improvements over the random walk, the speculative efficiency model, and Hamilton's stochastic segmented trends model.     

Visualising Time: A Compendium of Time Series Plots

Graphs are important for highlighting relationships within a data series or across several series. Modern computer software has provided flexibility in the construction of graphic displays that would have been impossible with the tools that were available to researchers only a few decades ago. This article illustrates a variety of different graphical presentations for time ordered or time series data that can now be constructed. These include time series plots, bar charts, range plots, radar charts, scatter plots, heat maps and seasonality plots. For each graph type presented, we discuss the best practice for their construction.     

Board Gender Diversity,Investor Protection,and Private Information-Based Trading

ABSTRACT

This study examines the effects of board gender diversity and investor protection on private information-based trading and its persistent form. The results generally show that board gender diversity plays a significant part in preventing stock trading activities based on private information as well as persistent private information-based trading. Investor protection is also found to be significant and more pronounced in mitigating private information-based trading, but its function is hindered by the persistence of private information-based trading. Overall, the findings suggest that, besides strengthening the investor protection, policymakers should also encourage the involvement of women on boards of directors.