This study quantifies how spending changes induced by the Supplemental Nutrition Assistance Program (SNAP) affects production and employment in rural and urban areas. A general equilibrium simulation model with an estimated demand system is first used to project how SNAP affects spending on different goods and services. These impacts are then linked to the expansion and contraction of different economic sectors that differ in importance across rural and urban Oregon. In urban areas, a number of service sectors linked to higher-income households shrink slightly in response to SNAP, while food-related sectors expand; the net effect on jobs is slightly negative. Production changes in rural areas are generally smaller, while having a slightly positive net effect on jobs. Overall, SNAP makes a positive difference for low- or no-income households without strong effects elsewhere in the economy.

Pesticide registration in Canada is a Federal responsibility. Authority to recommend and use a pesticide often is Provincially controlled. A survey on “the status of pesticide reduction” within the various provinces of Canada revealed that only 3 of 10 had a policy to reduce pesticide use. In Ontario is an example of a successful non-mandatory program toward the reduced use of pesticides. A coordinated effort among government, industry, and growers has resulted in increased research, education, and extension for pesticide use. Licensing for sellers and users of pesticides has been effective in assisting the reduction of active ingredient pesticide sales.

This paper presents findings from an analytical scheme that offers a promising alternative to traditional procedures of modeling acreage response. The scheme addresses the two-step decision process in which program and nonprogram planting decisions are modeled separately, conditional on the decision to participate. This provides a more realistic and intuitive portrayal of producers' decision making process. The model is applied at the regional level to assess the impact of farm programs on acreage response for corn in the Cornbelt and Lake States, and for wheat in the Northern Plains. The impacts of policy variable changes on participation and planted acreage are also analyzed.

An econometric model of cotton acreage response was estimated for four distinct production regions in the United States. This work builds on previous work in the area of supply response under government farm programs and provides up-to-date regionalized estimates of own-price elasticity of cotton acreage supply. The own-price variable used in this study is a weighted combination of expected market price and government policy variables. Results indicate regional similarity in response to own price but differences with respect to the prices of alternative enterprises. Differences in regional response to paid diversion are also indicated.

Using a model of farm household resource allocation and data from the USDA-ERS Agricultural Resource Management Survey (ARMS), this study compares the effects of various categories of farm program payments on time allocation by farm operators and spouses. Results suggest that agricultural market transition payments (AMTA) increase leisure hours of both farm operators and spouses. Loan deficiency payments (LDP) and payments that combine market loan assistance (MLA) and disaster payments are shown to reduce leisure. The study also finds that AMTA payments exhibit a much higher degree of income transfer efficiency than the LDP and MLA payments.

An expected utility model that includes output price and yield uncertainty was used to estimate cotton, com, and soybean acreage response equations for the Southeast. The model appeared to fit the soybean and corn data well, resulting in own-price elasticity estimates of 0.317 for com and 0.727 for soybeans. When applied to cotton acreage, however, the model did not yield satisfactory results. When elasticity was allowed to change over time, however, statistical results for the cotton equation improved, yielding an own-price elasticity of 0.915 at data means.

This research uses data from the 2004 Agricultural Resource Management Survey and probit regression to examine the determinants of poverty among U.S. farm households. The findings reveal, among others, the importance of a livelihood strategy that combines participation in government programs and off-farm work in lowering poverty rates. Findings also show the importance of educational attainment of the farm operator in mitigating poverty, but only when poverty is measured on a relative rather than an absolute basis. Policy recommendations are provided in the context of these findings.

Objectives: Since 1988, four government-funded health technology assessment (HTA) agencies have been established in Canada. This paper is a descriptive review of reports issued by these organizations during the period from 1988 to 1998.

Methods: Publications from the national and three provincial HTA agencies in Canada were obtained and reviewed. Only the 117 assessment reports that were reported to have undergone external review were included in this analysis. Each report was classified on a standard abstraction form according to criteria such as technology type(s), assessment focus, whether a specific policy question was clearly stated and relevant decision maker(s) identified, description of search strategy and selection criteria, sources of data and assessment methods used, whether recommendations or conclusions were made, and duplication or overlap of reports. The trends in these qualities over the 10-year period were also examined.

Results: Therapeutic technologies have received the most attention from all four agencies, although the focus on devices, drugs, and procedures varied between agencies. The policy question under investigation was clearly identified in 82% of reports, and 71% clearly identified the decision maker toward whom the assessment was targeted. Efficacy or effectiveness was examined in 81% of reports, and costs were assessed in 65% of studies. These were the two most frequently examined aspects. Almost all assessments were descriptive literature reviews; 9% included meta-analyses and 32% had cost analyses or economic evaluations. Forty-four percent of reports had a clear description of the literature search strategy, and selection criteria were clearly specified in 38% of studies, but there was considerable variation among agencies in the level of description of these methods. Conclusions were clearly stated in 83% of the assessments' conclusions, and 13% had recommendations. When analyzed longitudinally, it is apparent that the quality of reports has improved markedly during the past decade. This was determined by examining the clarity of specifying the policy question(s) under investigation, the identification of the target audience of decision makers for the information, and by evaluating the thoroughness of the description of the methods used in the assessment.

Conclusions: Canadian government agencies have contributed a considerable quantity of health technology assessments. There has been very little duplication of technologies evaluated, and the quality of the assessment reports has markedly improved during the past decade.