Gender Inequality
Gender inequality in COVID-19 times: evidence from UK Prolific participants
(with Sonia Oreffice, Journal of Demographic Economics, 2021)
Table 1 (Oreffice & Quintana-Domeque, 2021): Mental health and wellbeing.
Table 1 (Oreffice & Quintana-Domeque, 2021): Mental health and wellbeing.
Note: p-values robust to heteroscedasticity. Difference is computed as the coefficient on a female indicator on a regression of the outcome on each column against a female indicator and a constant. Adjusted difference is computed in the same way after including the following control variables: ethnicity indicator (1 if non-white, 0 if white), age indicators, education indicators, couple indicator, living with others indicator, log of income in 2019, employment status indicators, rural/urban indicator, geographical location of residence indicators.
Note: p-values robust to heteroscedasticity. Difference is computed as the coefficient on a female indicator on a regression of the outcome on each column against a female indicator and a constant. Adjusted difference is computed in the same way after including the following control variables: ethnicity indicator (1 if non-white, 0 if white), age indicators, education indicators, couple indicator, living with others indicator, log of income in 2019, employment status indicators, rural/urban indicator, geographical location of residence indicators.
Table 9 (Oreffice & Quintana-Domeque, 2021): Gender gaps in mental health and wellbeing: Standard vs. additional controls.
Table 9 (Oreffice & Quintana-Domeque, 2021): Gender gaps in mental health and wellbeing: Standard vs. additional controls.
Note: Each row displays the coefficient estimate (and robust standard error) on a female indicator of an OLS regression of the dependent variable in each column against a female indicator and the control variables indicated in each row. Standard controls: ethnicity, age, education, living with a partner, living with others in the household, income in 2019, current employment status, living in a rural (vs. urban) area, or geographical location. See Section 3. F-test: Health concerns irrelevant reports the robust to heteroskedasticity p-value of the F-statistic that the four health concerns indicators have a zero coefficient. F-test: Economic concerns irrelevant reports the robust to heteroskedasticity p-value of the F-statistic that the three economics concerns indicators have a zero coefficient. We only report asterisks if p-value < 0.05: **p-value < 0.05, ***p-value < 0.01..
Note: Each row displays the coefficient estimate (and robust standard error) on a female indicator of an OLS regression of the dependent variable in each column against a female indicator and the control variables indicated in each row. Standard controls: ethnicity, age, education, living with a partner, living with others in the household, income in 2019, current employment status, living in a rural (vs. urban) area, or geographical location. See Section 3. F-test: Health concerns irrelevant reports the robust to heteroskedasticity p-value of the F-statistic that the four health concerns indicators have a zero coefficient. F-test: Economic concerns irrelevant reports the robust to heteroskedasticity p-value of the F-statistic that the three economics concerns indicators have a zero coefficient. We only report asterisks if p-value < 0.05: **p-value < 0.05, ***p-value < 0.01..