Abstract
Data from the 2004 Agricultural Resource Management Survey are used to construct a typology of socioeconomic disadvantage. Factors that are associated with the likelihood of farm households falling in a socio-economic disadvantaged category are estimated using a multinomial probit regression model. The findings, among others, highlight the importance of factors such as farm operators being married, and being older and more educated in reducing the likelihood of socioeconomic disadvantage. Yet other factors with the potential to lowering the likelihood of socioeconomic disadvantage are those related to increases in off-farm earnings and farm size, and farm program participation.
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