Minimum Wage Effects on Employment for Different Subpopulations: CPS Data
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
|---|---|---|---|---|---|---|---|
| Panel A: Teenagers 15–19, CPS 1990–2009 | |||||||
| ln(MW) coeff. | −0.050** (0.021) | −0.041 (0.034) | −0.039 (0.031) | −0.028 (0.025) | −0.019 (0.037) | −0.090*** (0.027) | −0.086*** (0.026) |
| Elasticity | −0.121 | −0.100 | −0.094 | −0.068 | −0.045 | −0.218 | −0.209 |
| Observations | 447,719 | 447,719 | 447,719 | 447,719 | 447,719 | 447,719 | 447,719 |
| Panel B: Low-Skill Black Men 25–54, CPS 1990–2016 | |||||||
| ln(MW) coeff. | 0.106** (0.045) | 0.028 (0.049) | 0.093** (0.039) | 0.053 (0.050) | 0.115** (0.046) | 0.075* (0.043) | 0.050 (0.042) |
| Elasticity | 0.156 | 0.042 | 0.136 | 0.078 | 0.169 | 0.110 | 0.074 |
| Observations | 104,020 | 104,020 | 104,020 | 104,020 | 104,020 | 104,020 | 104,020 |
| Panel C: Low-Skill Black Women 25–54, CPS 1990–2016 | |||||||
| ln(MW) coeff. | 0.098** (0.046) | 0.034 (0.032) | 0.025 (0.048) | −0.016 (0.043) | 0.043 (0.056) | 0.051 (0.055) | −0.003 (0.065) |
| Elasticity | 0.164 | 0.056 | 0.041 | −0.027 | 0.071 | 0.086 | −0.004 |
| Observations | 129,329 | 129,329 | 129,329 | 129,329 | 129,329 | 129,329 | 129,329 |
| Div. × Quarter FE | N | Y | N | Y | N | N | N |
| Linear trends | N | N | Y | Y | N | N | N |
| Quadratic trends | N | N | N | N | Y | N | N |
| Cubic trends | N | N | N | N | N | Y | N |
| Quartic trends | N | N | N | N | N | N | Y |
Notes: Data from the Current Population Survey Outgoing Rotation Groups, population stratification, and years are indicated in the panel titles. Panel A focuses on teenagers (15–19 years old),the targeting population from Allegretto et al. (2011) and Neumark et al. (2014). Panels B and C focus on “low-skill” Black men and women, with low skill here indicating the absence of postsecondary education. Each cell is a different regression. Elasticities are calculated by dividing the coefficient by the mean employment rate for the relevant population. Controls included in all regressions: age, nonseasonally adjusted unemployment rate, marital status, education, race/ethnicity, gender, quarter FE, state FE, and additional trends or FE as noted (in Panel A all specifications also include proportion of population aged 15–19 as in Allegretto et al. 2011). Column 1 provides a baseline estimation. Columns 2–4 replicate the key specifications of Allegretto et al. (2011). Columns 5–7 include different polynomial time trends, replicating the key specifications from Neumark et al. (2014). Regressions are weighted using the person-level weight wtfinl. Standard errors clustered on state in parentheses.
↵* p < 0.10,
↵** p < 0.05,
↵*** p < 0.01.