Famine Mortality in Nineteenth-Century Japan: The Evidence from a Temple Death Register

Economic and demographic historians who have studied Japan's early modern period argue that preventive checks to fertility were the primary cause of Japan's stationary population in the eighteenth and early nineteenth centuries, and that the role of ‘positive’ checks was negligible. This paper presents evidence and a claim that mortality crises – famines in particular – also played an important role in checking population growth during this period. It analyses data from the death register of Ogen-ji, a Buddhist temple in the Hida region of central Japan. These data provide a remarkably detailed picture of the short-term demographic consequences of Japan's last great famine, the Tenpō famine of the 1830s. ‘Normal’ mortality patterns, by age and sex, are compared with patterns of mortality during the famine. Mortality of males rose considerably more than that of females, with the greatest rise occurring among young boys aged 5–14 and adult men aged 30–59. A surprising finding was that mortality at ages 0–4 rose relatively little, in part a consequence of a marked fall in the number of births during the famine. The Tenpō subsistence crisis was not the sole cause of population stagnation in the Ogen-ji population, but it was a prominent feature of the ‘high mortality regime’ that this population experienced during the eighteenth and nineteenth centuries.     

Evaluation of the parameters of su by rational fractions

A rational fraction approximation is given for a function of one of the parameters defining Johnson's S_UError assessment for a segment of the domain of validity shows remarkable accuracy.     

Evaluating the impact of utility company billing plans on residential energy consumption

Many utility companies offer their customers the choice of participation in an average payment plan, which enables them to pay a fixed sum for their utility bill each month (with final settlement at the end of the billing year), instead of the conventional “pay as you go” billing procedure. Because customers on average payment plans are protected from paying large bills during peak energy-use seasons and because the information about monthly energy use and its cost is perhaps less salient to them, it was hypothesized that customers on the average payment plan would use more electricity than customers not on the plan. Using a nonequivalent control group design, the electricity consumption of a selection of customers of two utility companies (Ns = 475 and 74) was examined. The results showed that there was no evidence to support the hypothesis. Since the logic of hypothesis testing does not permit the ready acceptance of the null hypothesis, several procedural, methodological, and statistical points were made to buttress the conclusion that the average payment plans had no effect on electricity consumption.     

STOCHASTIC KINETIC MODELS: DYNAMIC INDEPENDENCE, MODULARITY AND GRAPHS

The dynamic properties and independence structure of stochastic kinetic models (SKMs) are analyzed. An SKM is a highly multivariate jump process used to model chemical reaction networks, particularly those in biochemical and cellular systems. We identify SKM subprocesses with the corresponding counting processes and propose a directed, cyclic graph (the kinetic independence graph or KIG) that encodes the local independence structure of their conditional intensities. Given a partition [A, D, B] of the vertices, the graphical separation A ⊥ B|D in the undirected KIG has an intuitive chemical interpretation and implies that A is locally independent of B given A ∪ D. It is proved that this separation also results in global independence of the internal histories of A and B conditional on a history of the jumps in D which, under conditions we derive, corresponds to the internal history of D. The results enable mathematical definition of a modularization of an SKM using its implied dynamics. Graphical decomposition methods are developed for the identification and efficient computation of nested modularizations. Application to an SKM of the red blood cell advances understanding of this biochemical system.     

The Development of Vocational Realism in Black American College Students

A total of 172 Black students completed a survey of biographical, educational, and vocational information about themselves and their immediate relatives. The results indicated that educational realism tended to increase across the college years. There was no difference in satisfaction with school or intent to leave school as a function of educational realism or salary realism. Vocationally realistic male and female students did not differ in age.     

A Bayesian Time Series Model of Multiple Structural Changes in Level,Trend, and Variance

We investigate whether seasonal-adjustment procedures are, at least approximately, linear data transformations. This question was initially addressed by Young and is important with respect to many issues including estimation of regression models with seasonally adjusted data. We focus on the X-11 program and rely on simulation evidence, involving linear unobserved component autoregressive integrated moving average models. We define a set of properties for the adequacy of a linear approximation to a seasonal-adjustment filter. These properties are examined through statistical tests. Next, we study the effect of X-11 seasonal adjustment on regression statistics assessing the statistical significance of the relationship between economic variables. Several empirical results involving economic data are also reported.