Climbing the Job Ladder: New Evidence of Gender Inequity

An explanation for the gender wage gap is that women are less able or less willing to “climb the job ladder.” However, the empirical evidence on gender differences in job mobility has been mixed. Focusing on a subsample of younger, university‐educated workers from an Australian longitudinal survey, we find strong evidence that the dynamics of promotions and employer changes worsen women’s labor market position.     

Work is a Four‐Letter Word: The Economics of Work in Historical and Critical Perspective*

The article highlights and explains the neglect of the activity of work in much of the mainstream economics literature. The neglect of work is seen to have denied space for mainstream economists to engage with the full range of possibilities for progress in human well‐being. The article also considers perspectives on work from within heterodox or non‐mainstream economics and argues that these perspectives provide a superior foundation for the theorization of work.     

A Simple Econometric Approach for Utility-Based Asset Pricing Models

Utility-based models of asset pricing may be estimated with or without assuming a distribution for security returns; both approaches are developed and compared here. The chief strength of a parametric estimator lies in its computational simplicity and statistical efficiency when the added distributional assumption is true. In contrast, the nonparametric estimator is robust to departures from any particular distribution, and it is more consistent with the spirit underlying utility-based asset pricing models since the distribution of asset returns remains unspecified even in the empirical work. The nonparametric approach turns out to be easy to implement with precision nearly indistinguishable from its parametric counterpart in this particular application. The application shows that log utility is consistent with the data over the period 1926–1981.     

Return,Risk, and Yield: Evidence from Ex Ante Data

The purpose of this study is to investigate the relationship between return and yield in the context of ex ante data from The Value Line Investment Survey and by examining the role of dividends as a proxy for risk. The use of ex ante data should substantially reduce the confounding of tax and information effects that has affected earlier studies. Heteroscedasticity is detected in the after-tax CAPM and found to be negatively related to yield and positively related to beta. Maximum likelihood methods are used to correct for heteroscedasticity and generate efficient coefficient estimates. Using data for each of the years 1973 through 1983, there is an overall positive relationship between expected return and yield. However, coefficient estimates of yield are highly variable from year to year.     

The organization of the grain trade in the early Roman Empire

Rome was an exceedingly large city at the start of the Roman Empire, and it required massive grain imports to feed its population. We argue that Roman merchants organized these imports and that they used a variety of mechanisms to deal with the informational problems of long‐distance trade at that time. They used general institutions of Rome, such as its legal and social structures, as well as specific mercantile institutions, such as contracts, companies, and invoices. They exploited information in the Roman social structure as well as in the facilities for trade. This combination of social and economic institutions enabled Roman merchants to operate on as large a scale as any other pre‐industrial merchant group.     

The Work Program and Priorities of the AASB

The workload of the AASB has not diminished since adoption of the IASB's standards and will not diminish in the foreseeable future. However, the nature of the AASB's work has changed, with a particular focus on the public-sector and private not-for-profit sector priorities.     

An Error Component Logit Analysis of Corporate Bankruptcy and Insolvency Risk in Australia

This paper introduces a four-state failure model to depict a wider range of distress scenarios that public companies typically face in the real world. We use a multinomial error component logit model to analyse firm failure, a major advance on the modelling techniques used in previous research. The error component logit model, being an extension of the more familiar mixed logit model, relaxes several questionable statistical assumptions associated with standard models. Using a sample of Australian firms we provide an interpretative illustration of the error component logit model and contrast its behavioural performance with the standard logit model widely used in previous research.