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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 2.

Coffee Price Shocks and ln (Cohort Size)

Sample/Specification

Ages 0–2 Ages 0–3 Ages 0–3 with Trends
Panel A: 1975 Brazilian Frost −0.17*** (0.03) −0.03*** (0.01) −0.08*** (0.02)
County Fixed Effects Yes Yes Yes
County-Specific Linear Trends No No Yes
Implied Change 2.16% 0.40% 0.99%
N 2215 3319 3319
R2 0.99 0.99 0.99

Panel B: 1985 Brazilian Drought −0.16*** (0.04) −0.14*** (0.04) −0.23*** (0.09)
County Fixed Effects Yes Yes Yes
County-Specific Linear Trends No No Yes
Implied Change 2.04% 1.69% 2.89%
N 2208 3310 3310
R2 0.99 0.99 0.99

Panel C: 1990 ICA Collapse −0.10*** (0.03) −0.05*** (0.01) 0.08 (0.06)
County Fixed Effects Yes Yes Yes
County-Specific Linear Trends No No Yes
Implied Change 1.22% 0.58% ---
N 2203 3305 3305
R2 0.99 0.99 0.99

Notes: County-year cohort size data from the complete 1993 Colombian population census; coffee cultivation data from the National Federation of Coffee Grower’s early 1970s and early 1980s 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 in the first year of life obtained by estimating equation 1 (controlling for county and year fixed effects and county-specific linear trends as shown above). Coffee area is in thousands of hectares and coffee prices are in thousands 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.