The overall objective of this study is to develop a framework to predict the impacts of government policies on agricultural production in Albania. The specific goal of this study is to provide some empirical estimates of the farmers' short-run supply response to government policies that effect output and input prices. Different theoretical approaches to integrating the questions this study purports to answer were considered. Two models were deemed as most appropriate for Albanian agriculture. The first is a semi-commercial farm household model and the second is the well-known indirect profit function model. The first model was preferred. However, the second was used instead, due to the lack of information necessary for an empirical application of the semi-commercial farm household model. A quadratic functional form was selected to approximate the profit function. It satisfied the Taylor series approximation convergence test. Two approaches were used to estimate the empirical model. In the first, the traditional approach, the symmetry and homogeneity conditions were imposed beforehand and then the system of equations was estimated using the ITSUR procedure in SAS. Following common practice, a joint Rao test of these conditions was conducted, implicitly assuming that the test statistic has a Fisher distribution or, stated differently, assuming that parameter estimators are normally distributed. The test results indicate that the conditions are met. A second approach, proposed by McGuirk, et al., was also used in this study. The approach proposed by McGuirk, et al., requires that, before imposing and/or testing any theoretical assumption, the unrestricted model is estimated and tested to see if all the underlying statistical assumptions of the linear regression are met. The misspecification tests suggested that the model is not statistically adequate. This finding indicated that the theoretical test conducted in the traditional approach was invalid. An alternative estimation procedure is proposed in the study for cases when a statistically adequate model cannot be specified. Named the sub-sample or the bootstrapping method, this procedure consists of randomly selecting a large number of sub-samples from the cross-sectional sample and running a regression for each of them. The large number of estimates for each of the coefficients serves as a basis for estimating 95-percent confidence intervals. An inspection of the supply and input demand elasticities calculated based on coefficients estimated through the sub-sample method revealed that half of them have wide 95 percent confidence intervals. Therefore, predicting policy impacts across all output and input equations is not possible. However, elasticities that have narrow confidence intervals and make economic sense can be used to predict isolated policy impacts, if Albania returns to the conditions that prevailed before the political turmoil of 1997. / Ph. D.

The Government of Senegal is attempting to liberalize the groundnut market. In the past, this market was highly regulated with government-set producer prices, groundnut oil processing mills owned by parastatals, and requirements that all groundnuts be sold to these quasi-governmental organizations. In recent years, these rules are being relaxed, and farmers are allowed to sell groundnuts on the open market. However, farmers continue to sell most of their groundnuts, as before, to the mills. This study attempts to shed light on the effects of this market liberalization. First, an attempt is made to provide estimates of the farmers' short-run output supply and input demand responses to price changes. A quadratic profit function model is estimated using data collected for the current study and a similar dataset collected by Akobundu [1997]. Second, a quadratic programming model is used to examine the effects of eliminating pan-territorial prices. Results indicate that the elimination of the pan-territorial price system will have an overall benefit to Senegalese society. However, as expected, groundnut producers in areas remote from the groundnut oil processing mills would face lower prices. The effects on producers and consumers in the major producing regions, however, were found to be minimal. Finally, the dissertation provides an extensive description of the economic activities of small-scale farm households in Senegal's Groundnut Basin. Differences between males and females and between household heads and other males in the household are also examined. Although females are not as involved in groundnut production, they do not seem to face discrimination in either the official or the open market. The description of the situation facing small-scale farmers provided in this dissertation is not encouraging. The quantity and timing of the rains in the Groundnut Basin add an unwelcome uncertainty to farming. Increases in population are adding pressure to the environment and are placing heavy demands on wood and grazing lands. Only eight percent of the farmers had groundnut seed multiplication ratios less than one, and sixty-seven percent had ratios less than five. The dissertation also indicates that farmers are not producing enough to feed their families. Fewer than twelve percent of the households produce a caloric surplus. Sixty percent produced less than fifty percent of their caloric needs. The study indicates that farmers are not earning enough from agricultural production to take care of normal expenses throughout the year. Thus, when combined with uncertain rains and a worsening environment, the farmers have little margin of safety. Therefore, any government policies affecting groundnut production in particular or agricultural production in general should take into account the situation already facing the farmers. / Ph. D.