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. Author manuscript; available in PMC: 2011 Nov 14.
Published in final edited form as: J Polit Econ. 2010 Feb;118(1):113–155. doi: 10.1086/651673

TABLE 5.

Coffee Price Fluctuations, Infant/Child Morbidity, and Adult Time Use

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.