TABLE 5.
Estimate | Standard Error | Implied Change | N | R2/Pseudo R2 | |
---|---|---|---|---|---|
Panel A: Child Morbidity within the Preceding 15 Days | |||||
Acute Diarrhea | 0.009** | (0.004) | 0.12 | 29,786 | 0.03 |
Acute Respiratory Infection | 0.022*** | (0.006) | 0.28 | 29,771 | 0.04 |
Any Childhood Illness | 0.022*** | (0.006) | 0.28 | 29,775 | 0.03 |
Child Absent from Usual Activities Due to Illness | 0.025*** | (0.005) | 0.32 | 29,707 | 0.02 |
| |||||
Panel B: Adult Time Use the Preceding Day Conditional on Child Illness | |||||
Working outside of the home for money | 0.007 | (0.014) | --- | 20,554 | 0.04 |
Working in self-employed occupation | 0.011* | (0.006) | 0.13 | 20,557 | 0.05 |
At home doing household activities | −0.027* | (0.016) | −0.34 | 18,779 | 0.06 |
Notes: Individual-level child morbidity symptom data and adult time use 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. Panel A shows marginal probabilities (and corresponding standard errors in parentheses, clustered by county) for the interaction between coffee growing intensity and coffee price and were calculated using estimates from equation 2 fit using probit models (controlling for county and year fixed effects and county-specific linear trends). Panel B shows marginal probabilities (and corresponding standard errors in parentheses, clustered by county) for the three-way interaction among coffee growing intensity, coffee price, and a child in the household having missed usual activities due to illness in the preceding 15 days and were calculated using estimates from equation 3 fit using probit models (controlling for the childhood illness measure, all lower-order interactions, day of the week, county and year fixed effects, and county-specific linear trends). 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.