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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: World Dev. 2019 Feb 18;117:357–369. doi: 10.1016/j.worlddev.2019.02.003

Table 5. 1–12 month climate effects on recent rice, food, and non-food expenditures.

Ordinary least squares regression coefficients presented with pixel-corrected standard errors (in parentheses)

Rice Expenditures Food Expenditures Non-Food Expenditures
Temperature z-Score −0.472 −0.443 0.103
(0.297) (0.276) (0.106)
Monsoon z-Score 0.0755 −0.0734 −0.0597*
(0.0675) (0.0754) (0.0270)
Wave 2 0.541** −4.753**
(0.117) (0.381)
Wave 3 1.071** −3.472** 0.865**
(0.133) (0.328) (0.0630)
Wave 4 0.761** −3.276** 2.330**
(0.219) (0.260) (0.0921)
Wave 5 1.514** −2.199** 3.067**
(0.230) (0.267) (0.0773)
Sample Size 24,533 24,533 20,011

Notes:

Rice and food expenditures is defined as the natural log of the total value of products purchased by any household member in the seven days prior to the survey

Non-food expenditures is defined as the natural log of the total value of non-food products purchased by any household member in the 30 days prior to the survey

Expenditures per capita values adjusted for inflation using consumer price index value based on 2010 consumer price values

All IFLS waves included, except for non-food expenditures (Waves 2–5). Community fixed effects and indicators for missingness included but not shown

Wave 1 is reference category except for non-food expenditures where Wave 2 is the reference category

+

p<.10

*

p<.05

**

p<.01