Child Support for Custodial Mothers and Fathers, 1991

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DIANE Publishing, Apr 1, 1999 - 51 pages
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Presents results from a April 1992 survey. Provides information on the receipt of child support payments in 1991 by parents living with their own children whose other parents are absent following divorce or separation, and on the receipt of child support payments by never-married custodial parents. For the first time, data on custodial fathers were collected to supplement the CPS, reflecting the growing need for information about men living with their own children whose mothers are absent from the household. In 1992 there were about 11 million custodial parents, 10 million of whom were custodial mothers and 2 million of whom were custodial fathers.

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Page 39 - order to compensate for the relatively larger fixed expenses of these smaller households. The poverty thresholds are updated every year to reflect changes in the Consumer Price Index (CPI). The average poverty threshold for a family of four was $13,924 in 1991.
Page 47 - Here x is the size of the estimate and a and b are the parameters in table B-6 associated with the particular type of characteristic. When calculating standard errors for numbers from cross-tabulations involving different characteristics, use the factor or set of parameters for the characteristic which will give the largest standard error. Illustration Suppose that there were
Page 44 - Undercoverage varies with age, sex, and race. Generally, undercoverage is larger for males than for females and larger for Blacks and other races combined than for Whites. As described previously, ratio estimation to independent age-sex-race-Hispanic population controls partially corrects for the bias due to undercoverage. However, biases exist in the estimates to the extent that Table
Page 47 - The approximate standard error, s xp , of an estimated percentage can be obtained by use of the formula SX.P (3) In this formula, f is the appropriate factor from table B-6 and s is the standard error of the estimate obtained by interpolation from table B-5. Alternatively, formula (4) will provide more accurate results:
Page 47 - (4) Here x is the total number of persons, families, households, or unrelated individuals which is the base of the percentage, p is the percentage (0 < p < 100), and b is the parameter in table B-6 associated with the characteristic in the numerator of the percentage.
Page 47 - A conclusion that the average estimate derived from all possible samples lies within a range computed in this way would be correct for roughly 90 percent of all possible samples. The alternate calculation of the standard error, using formula (1 ) with
Page 46 - is that the population parameters are different. An example of this would be comparing the poverty rate for White families with the poverty rate for Black families. Tests may be performed at various levels of significance. A significance level is the probability of concluding that the characteristics are different when, in fact, they are the same.
Page 48 - for distribution of percentages: the estimated percent of units (persons, households, etc.) having values of the characteristic greater than or equal to A., and A 2 respectively. 4. Divide the difference between the two points determined in step 3 by two to obtain the standard error of the median. Illustration Suppose that the
Page 49 - 1 and Z are the lower and upper interval boundaries, respectively, for group i. x is assumed to be the most representative value for the characteristic for households, families, and unrelated individuals or persons in group i. Group c is open-ended, ie, no upper interval boundary exists. For this group the approximate average value for an open-ended interval is
Page 43 - Table B-1. Description of the March Current Population Survey 1 Excludes about 2,500 Hispanic households added from the previous November sample. (See "March Supplement.") 2 The CPS was redesigned following the 1980 Census of Population and Housing. During phase-in of the new design, housing units from the new and old designs were in the sample.

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