Overview of the Data Sets and Descriptive Statistics
| Total Sample | Partner Sample | |||
|---|---|---|---|---|
| Men | Women | Men | Women | |
| Number of observations | 757,868 | 723,317 | 533,711 | 524,981 |
| Average own earnings percentile rank (age 28–40) | 50.6 | 50.6 | 54.6 | 50.9 |
| Average parental earnings percentile rank (age 52–58) | 50.6 | 50.6 | 51.6 | 51.2 |
| Average percentile rank based on predicted earnings | 50.5 | 50.5 | 51.9 | 51.0 |
| Average percentile rank based on maximum earnings 2–5 years before match | NA | NA | 54.9 | 54.4 |
| Correlation between parental and own earnings rank | 0.19 | 0.15 | 0.19 | 0.16 |
| Correlation between predicted and own earnings rank | 0.39 | 0.40 | 0.38 | 0.41 |
| Correlation between rank 2–5 years before match and own earnings rank | NA | NA | 0.70 | 0.58 |
Notes Predicted earnings are based on the following regression model estimated by gender:
, where is individaual i’s age 28-40 labor earnings, is a set of indicator variables for each decile in the parental earnings distribution and Ey is a set of indicator variables for highest education attained. Number of observations with predicted earnings are, for men, 753,173 in the total sample and 529,376 in the partner sample. For women, the corresponding numbers are 719,675 and 520,545. Number of observations based on maximum earnings 2–5 years before match are 95,233 for men and 95,800 for women. This sample is restricted to individuals who have completed their education and had positive earnings before the match.
