title: Labor-force participation and earnings of SSI disability recipients: a pooled cross-sectional times series approach to the behavior of individuals.
abstract: This article examines two important aspects of work behavior, labor-force participation, and earnings among persons who since 1976 have become entitled to SSI disability benefits and received payments for a full calendar year or longer during the intervening time period. A data set was developed containing the records of a random sample of all individuals who had ever received Supplemental Security Income (SSI) disability benefits and matched to earnings records maintained by the Social Security Administration (SSA). A multivariate analysis based on a pooled cross-sectional time series approach was employed using individual-level data to first estimate the probability of an SSI recipient performing work and then to estimate, among those who worked, the level of earnings. For this analysis, the SSI population was divided into three distinct groups based on their diagnosis: the nondevelopmentally disabled, the developmentally disabled (other than the mentally retarded), and the mentally retarded. The analysis provides information about the impact that individual characteristics (such as age, education, diagnosis, and so forth) play in the decision to work and in determining the level of earnings. The analysis also addresses yearly variations in labor-force participation and earnings.
authors.forename: L S
authors.initials: LS
authors.lastname: Muller
authors.forename: C G
authors.initials: CG
authors.lastname: Scott
authors.forename: B V
authors.initials: BV
authors.lastname: Bye
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D006233:Persons with Disabilities; D004651:Employment / Q000706:statistics & numerical data* / Q000639:trends; D005260:Female; D006801:Humans; D007182:Income / Q000706:statistics & numerical data* / Q000639:trends; D007223:Infant; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012943:Social Security / Q000706:statistics & numerical data* / Q000639:trends; D014481:United States