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The paper attempts to project the future trend of the gender wage gap in Great Britain up to 2031.

The empirical analysis utilises the British Household Panel Study Wave F together with Office for National Statistics (ONS) demographic projections. The methodology combines the ONS projections with assumptions relating to the evolution of educational attainment in order to project the future distribution of human capital skills and consequently the future size of the gender wage gap.

The analysis suggests that gender wage convergence will be slow, with little female progress by 2031 unless there is a large rise in returns to female experience.

The paper has projected the pattern of male and female skill acquisition together with the associated trend in wages up to 2031.

To determine the age at which influence peaks for men and women at work, then use empirical data to develop procedures predicting complex combining effects of diffuse status characteristics.

A survey experiment with a nationally representative sample is used to measure the age at which the status value of men and women at work reaches a maximum. Research results are then incorporated into equations adapted from current status characteristics theory (SCT) procedures to model the combined effects of age, gender, race/ethnicity, education, income, occupation, and beauty.

Analyses reveal that the status value of men and women reaches a maximum in middle age, and that women reach a maximum status value at work at an earlier age than men.

This approach maintains core assumptions of SCT and uses ongoing research results to calibrate a model predicting complex combining effects of diffuse status characteristics. Limitations include the need to develop additional empirical constants to make predictions in new research settings.

Predictions from the model can be used in hiring situations to adjust for interviewers’ nonconscious expectations related to status characteristics of job applicants.

The disadvantage for women at work that increases through mid-career helps to explain the continuing underrepresentation of women in senior leadership positions. Awareness of the impact of socially valued characteristics like age and gender can help individuals respond more effectively to challenging social situations.

Extend the current SCT model to make predictions in contexts where people are being evaluated such as elections, hiring, and promotions.

At a recent meeting of the Council of the Royal Borough of Kensington, Councillor R. DUDLEY BAXTER, Chairman of the Public Health Committee, brought up a report setting forth, inter alia :—

This annotated listing of 125 United States Government bibliographies is the first annual supplement to BIBLIOGRAPHY OF UNITED STATES GOVERNMENT BIBLIOGRAPHIES 1968–1973 (Pierian Press). Most publications included bear a 1974 imprint, though there are some with earlier imprints which are not included in the 1968–1973 BIBLIOGRAPHY.

This study investigates the impact of socioemotional wealth (SEW) on family firm entrepreneurial orientation (EO) in Saudi Arabia, and the moderating effect of generational involvement on this relationship. Our data set comprises 241 privately, wholly owned family firms. We examine EO as a strategic orientation expressed in terms of both firm behavior and how managers approach risk-taking attitudinally. Our study finds that SEW is positively related to firms’ entrepreneurial behavior, but not managerial attitudes toward risk-taking. However, the positive effects of SEW on firms’ entrepreneurial behavior diminish as the number of generations involved in the family business increases. The broader implications for enabling entrepreneurship within Arab transforming economies adhering to strong cultural tribalistic norms are discussed.