Dawkins and the labor tradition: Instrumentalism and centralism in federal ALP higher education policy 1942–88

As Commonwealth Minister for Employment, Education and Training, John Dawkins has overturned prevailing methods of funding, organization and control of Australian higher education. By making funds dependent upon agreements to pursue national priorities, the Labor minister has also appeared to threaten the dominant objectives and philosophies of higher education. Recent policies (1987–88) have also been regarded as a betrayal of traditional ALP values. This paper argues that such an interpretation misrepresents the history of federal Labor policies in higher education and Dawkins' place within it Tertiary education has usually assumed prominence in the face of either actual or perceived national crises. When in office Labor has usually promoted instru‐mentalism of both an egalitarian and economic kind, and brought about an increasing centralization of Commonwealth control. Federal ALP MPs have also been ambivalent on the values of liberal education and academic freedom. On these grounds, the Dawkins policies represent more of a continuity with, than a departure from, ALP tradition. Any explanation of the Minister's political success must take into account this federal Labor heritage in higher education.     

Agricultural variation and human fertility in antebellum Pennsylvania

Focus in this discussion is on research designed to examine human fertility variation in 59 Pennsylvania counties in 1850 and 1860. The research goes beyond previous historical studies in examining the relationship between land quality and fertility and in separating the possible impacts of settlement from the availability of land for agricultural purposes. The measure of human fertility used in the analysis was the child-woman ratio, defined as the number of children aged 0-4/1000 white women aged 15-49. In 1850 the child-woman ratio ranged from 488-889. The child-woman ratio fell slightly between 1850 and 1860, and county level variation was reduced. Yet, Pennsylvania counties varied substantially in fertility levels during this period. The range between the highest and lowest fertility countries was over 400 children in 1850 and almost 350 in 1860. The set of agricultural variables displayed expected differences at the 2 time periods. The excess demand for farmsites increased between 1850 and 1860, while the variation in demand decreased by over one-half, reflecting additional settlement within all acres of the state. The settlement ratio increased over the decade; the sex ratio declined, most likely in response to outmigration westward. The agricultural variables were all negatively related to the child-woman ratio and were statistically significant, except for the labor/acre variable. The strongest correlation in 1850 was between the excess demand for farmsites and fertility. This coefficient indicated that the greater the excess demand for farmsites, the lower the child-woman ratio. This relationship was attentuated somewhat for 1860, yet it continued to be negative and statistically significant. The socioeconomic and demographic variables were all related to fertility in the expected direction, but only 5 of the 7 correlations were statistically significant in 1850 and 6 in 1860. The settlement ratio, sex ratio, percent urban, distance to urban place, and the measure of female age composition were all significantly related to fertility in 1850 and 1860. The study results support the growing body of research which has identified agricultural opportunity as a significant factor in fertility in rural areas of 19th century America. The findings also suggest that the importance of agricultural opportunity extended beyond the frontier period.     

Sizing Up State Policy Innovation Research

In the literature on state policy innovation, there are three major explanations for what causes a government to adopt a new policy. One is the internal determinants model, which posits that the main factors leading a state to innovate are internal political, social and economic characteristics of the stale. The other two are diffusion models—the regional diffusion model, and the national interaction model—which see slate policy adoptions as emulations of earlier adoptions by other states. Each of the three models has been associated with a distinct strategy for empirical testing. The regional diffusion model has been tested with factor analysis, the national interaction model with time-series regression, and the internal determinants model with cross-sectional regression. In this paper, I explore the ability of these "single-explanation" methodologies to detect the true innovation process underlying stale policy adoptions, by applying these methodologies to data generated from simulated innovation processes with known characteristics. I find that the methodologies often yield incorrect conclusions about the character of innovation. I conclude by presenting an agenda for refining a superior alternative methodology: the event history analysis approach to state policy innovation research introduced by Berry and Berry (1990).