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The purpose of this study was to test a theoretical model developed to explain family satisfaction among 171 caregivers of elderly parents. Using LISREL to estimate path coefficients, the findings support family satisfaction as directly and indirectly influenced by reciprocity, emotional well-being and family functioning. Explanatory variables accounted for 70% of the variance in predicting family satisfaction. Intrinsic rewards derived from giving care, positive affect, and family functioning contributed to higher levels of family satisfaction, while dysphoria contributed significantly to lower levels. Family satisfaction was also indirectly influenced by positive and negative exchanges received by the parent. Increasing caregivers awareness of the reciprocal nature of their relationships with all family members may be an effective strategy in helping them appreciate their contribution to the well-being of their parents and achieve satisfaction in the caregiving role.

Final quality of products/services starts with suppliers in the supply chain. Problems can occur if suppliers do not deliver the quantities requested in full, on time, or buyers select suppliers solely on the basis of lowest price. Supplier selection has been studied for large businesses but not for very small (micro) businesses. Therefore, a survey was administered to micro-businesses to determine: what factors are important to micro-businesses in selecting suppliers and how satisfied they are with their suppliers. Factors included Brand Name, Consistency, Cost/Lower Price, Loyalty, Quality, and Warranty. Results indicated that none of the factors were unimportant. However, buyer satisfaction was found to be dependent on Quality, Brand Name, and the Length of Time of the Buyer/Supplier Relationship. Additionally, it was concluded that quality, along with complete, on-time delivery are key to buyer satisfaction and may help suppliers achieve preferred status with microbusiness buyers.

The South Central Louisiana Petroleum Economy received an economic rent from its petroleum resources during the energy crisis of the 1970s and early 80s. A differential export-base model incorporating a geometric lag was developed for estimating dynamic employment multipliers. This technique is especially applicable to regional economies in which exports are a major economic factor. Employment multipliers were estimated using ordinary least squares (OLS) regression. Results from the analysis indicate that agriculture, oil and gas mining, and manufacturing are highly significant employment generators. Both long-run and short-run employment multipliers were derived from the model. It is estimated that a five-dollar change in the real price of crude oil will result in a long-run employment change of 8,027 for the oil and gas mining industry. Based on estimates of the long-run multiplier, this will result in a total employment change of 28,014 for this economy.HE LOUISIANA ECONOMY HAS RELIED on industries that are