Interview with James Ladd by Mike Hastings

Biographical NoteJames Loring Ladd was born February 18, 1933, in Milo, Maine, to Marianne Louise McKechnie and Vaughn Loring Ladd. He grew up in Milo and attended Foxcroft Academy. He was graduated from Bowdoin College in 1954 with a major in psychology; he and George Mitchell were classmates. Prior to the beginning of his senior year, he became married to Shirley Ladd; they have four children. He spent a year teaching, then was drafted into the Army and served in Korea for two years. He made a career in the real estate business in Milo, Maine, and is now retired. SummaryInterview includes discussion of: growing up in Milo, Maine; traveling to Boston as a child; attending Foxcroft Academy; watching baseball and playing sports; attending Bowdoin College; George Mitchell at Bowdoin; the fraternities at Bowdoin; train service in Maine; participating in ROTC at Bowdoin and serving in Korea; teaching eighth grade at Mattawamkeag and coaching basketball and baseball at Newport High School; the Milo, Maine area; seeing George Mitchell when he would visit the local high school; Ladd’s children; and the increasing cost of a Bowdoin education

Exploring Prayer Contexts and Health Outcomes: From the Chair to the Pew

Prayer in personal, interpersonal, small, and large group contexts is described in relationship to physical, psychological, and spiritual health. A sample of college and middle-aged adults (N = 189) completed cross-sectional surveys. Quantitative analyses revealed that prayer in all contexts predicted higher levels of spiritual health, and that the strongest prayer predictors of health were: large group prayer for mental health, and private and large group prayer for spiritual health. Qualitative results revealed that prayers for physical health in close personal relationships, and table blessing prayers among family members, were two of the most common types of prayer. Suggestions for future research include investigating the relational outcomes of prayer, developing an inventory of prayer, and examining the bi-directional nature of the prayer-health relationship

Application of distributed lag and autocorrelated error models to short-run demand analysis

The objective of the research reported here was to investigate the usefulness of distributed lag economic models and autocorrelated error statistical models for analysis of monthly and quarterly food demand. Distributed lags are a way of incorporating dynamic considerations into econometric models of consumer demand. In the distributed lag model used here, current consumption is the dependent variable, and lagged consumption is one explanatory variable. Testing the significance of the coefficient of lagged consumption tests the hypothesis of a lag in consumer adjustment to conditions affecting demand. The presence of autocorrelated errors can have serious effects on least squares (L.S.) estimates of coefficients. Autocorrelated errors may frequently occur in equations fitted to monthly and quarterly data. Therefore, equations were estimated by autoregressive least squares (A.L.S.) as well as by least squares. A.L.S.-1 assumes the errors ut to follow a first order autoregressive scheme, ut = β1ut-1 + et. It provides simultaneous estimates of β1 and of the coefficients in the demand equation. A.L.S.-2 assumes the errors to be generated by a second order autoregressive process, ut = β1ut-1 + β2ut-2 + et. It provides simultaneous estimates of β1, β2 and the coefficients in the demand equation

System of farm cost accounting

The business farmer wishes to know how much he is making or losing on his business each year, how much he is making or losing on each crop or class of animals, and how he can improve his business so as to make more money. The function of farm cost accounting is to supply this information. Cost accounting for the farm is the same sort of work large manufacturing companies do to learn whether they are making a profit on their different products. The farmer wants to know whether his wheat pays, whether his cows pay, or his orchard. These are some of the questions a set of farm cost accounts will settle

An Empirical Analysis of the Financial Impact of Supply Chain Management on Small Firms

In this article we test the value proposition hypothesis of supply chain management (SCM) by examining survey results of 570 US managers. First, we find that large firms use SCM initiatives significantly more than small firms. Second, in univariate and multivariate tests, we find that SCM leads to significant improvements in asset utilization, revenue generation, and competitive performance, regardless of firm size. These two major findings suggest that managers at small firms that are not actively engaged in SCM should reevaluate their opportunity to capture the competitive benefits of SCM that many large firms currently enjoy

Dwight L. Moody's Use of the Aristotelian Modes of Persuasion

Higher Education, and Speec