Two‐Wave Panel Analysis: Comparing Statistical Methods for Studying the Effects of Transitions

Study of the effect of transitions on individual and family outcomes is central to understanding families over the life course. There is little consensus, however, on the appropriate statistical methods needed to study transitions in panel data. This article compares lagged dependent variable (LDV) and change score (CS) methods for analyzing the effect of events in two‐wave panel data. The methods are described, and their performances are compared both with a simulation and a substantive example using the National Survey of Families and Households two‐wave panel. The results suggest that CS methods have advantages over LDV techniques in estimating the effect of events on outcomes in two‐wave panel data.     

The Maid Trade: Cross-Border Work in South Texas

Objective . The primary objective of this article is to investigate the "informal" marketplace for domestic servants (maids) in a border community in South Texas (Laredo). Methods . A questionnaire was administered by a household member familiar with the present study who employed at least one maid utilizing the snowball method of sample selection. Usable data (surveys) were collected from 389 individuals—195 maids and 194 employers. Results . For maids, who are overwhelmingly female Mexican nationals, the primary determinant or "push" factor in becoming a maid was economic necessity while the primary "pull" factor was good pay. A large hourly wage differential was uncovered for day maids ($3.44) vis-a-vis live-in maids ($2.61), which was primarily the result of civil status and the possession of documents permitting entry into the United States as determined by a logistic regression. Conclusion . The relative attractiveness of work as a maid in Laredo, Texas reflects the benefit of good pay balanced by the cost of poor employment choice in Mexico.