TABLE 4.
Estimate | Standard Error | Implied Change | N | R2/Pseudo R2 | |
---|---|---|---|---|---|
Mother - Worked last Week? | 0.02* | (0.01) | 0.05 | 11,110 | 0.04 |
Household head - Worked Last Week? | 0.02*** | (0.01) | 0.05 | 18,093 | 0.05 |
Mother - Hours of Monthly Work | 4.81* | (2.77) | 9.81 | 8,757 | 0.10 |
Household Head - Hours of Monthly Work | 5.85*** | (1.96) | 11.93 | 16,737 | 0.05 |
Mother - Hours of Monthly Work (Conditional on Worked Last Week) | 6.84 | (4.88) | --- | 3,369 | 0.08 |
Household Head - Hours of Monthly Work (Conditional on Worked Last Week) | 2.06 | (1.72) | --- | 15,236 | 0.04 |
Notes: Individual-level labor market participation data from the Familias en Acción panel survey (2002, 2003, and 2005 waves); coffee cultivation data from the National Federation of Coffee Grower’s 1997 coffee censuses; annual internal coffee price data from the National Federation of Coffee Growers. Estimates and standard errors (in parentheses, clustered by county) shown for the interaction between coffee growing intensity and coffee price obtained by estimating equation 2 (controlling for county and year fixed effects and county-specific linear trends as shown above). For dichotemous dependent variables (the first two rows), a probit model was used to estimate equation 2, and marginal probabilities are reported. Coffee area is in hundreds of hectares and coffee prices are in hundreds of pesos per kilogram. Implied changes are calculated for 250 hectares of coffee and a 500 peso per kilogram price change.
p<0.1,
p<0.05,
p<0.01.