A Predictive Model for Migrant Farmworker Movement in the United States.

Autor/in	Davis, Benjamin G.
Institution	Lewis (D. A.) Associates, Inc., Clinton, MD.
Titel	A Predictive Model for Migrant Farmworker Movement in the United States.
Quelle	(1976), (30 Seiten)Verfügbarkeit
Dokumenttyp	gedruckt; Monographie
Schlagwörter	Agricultural Laborers; Economic Factors; Labor Economics; Migrant Workers; Migration Patterns; Models; Multiple Regression Analysis; Prediction; Predictor Variables; Statistical Analysis + Suchen Sie Ihr Suchwort? Agricultural labourers; Landarbeiter; Ökonomischer Faktor; Arbeitsökonomie; Wanderarbeiter; Analogiemodell; Vorhersage; Prädiktor; Statistische Analyse
Abstract	Since migration is strongly influenced by economic variables, an economic model was developed to identify, locate, and track migrant and seasonal farmworkers as they move throughout the United States. Focusing on the Florida-based migrant agricultural workers who migrated at least once during the past five years, the model included the following independent variables that were correlated to the number of farmworkers who chose to migrate in a given year: distance; income; demand factors, i.e., amount of agricultural land, value of products, and unemployment rate; availability of Federal, state, and local programs; education; property ownership; and temperature. Each variable was evaluated in the base year for the states of Florida, Illinois, Indiana, Michigan, New York, North Carolina, Ohio, Texas, and Virginia. Data were obtained from various reports, a migrant farmworker questionnaire which collected basic information about the worker and his family, and a crew leader questionnaire which collected information on Florida-based crews and crew leaders and provided a basis for corroborating data collected on the farmworker questionnaire. A multivariate regression analysis was used on the data. Because of the type of data and the nature of the analyses, it was not expected that the equation would explain a large portion of the variation in the number of farmworkers migrating. As work on the model progresses, additional variables will be included in the regression equation to determine their contribution to the explanation of the migration decision. (NQ)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC