Table 3.

Coefficient estimates, linear regression models predicting wasting

Variable	Model 3		Model 4		Model 5		Model 6
Climate anomalies, 12 months before survey
Temperature	0.0116	^***	0.0099	^***	0.0113	^***	0.0093	^***
Temperature²	−0.0035	^**	−0.0035	^**	−0.0032	^**	−0.0025	^**
Precipitation	0.0031		0.0001		0.0022		0.0033	^†
Precipitation²	0.0024		0.0025		0.0016		0.0022

Group × climate anomaly interactions
Female × temperature	−0.0022
Female × temperature²	0.0009
Female × precipitation	0.0008
Female × precipitation²	−0.0017

Coresident under-5 children × temperature			0.0005
Coresident under-5 children × temperature²			0.0006
Coresident under-5 children × precipitation			0.0039	^**
Coresident under-5 children × precipitation²			−0.0009

Mother education (primary+) × temperature					−0.0046
Mother education (primary+) × temperature²					0.0012
Mother education (primary+) × precipitation					0.0036
Mother education (primary+) × precipitation²					−0.0012

Residence (urban) × temperature							0.0076	^**
Residence (urban) × temperature²							−0.0041	^**
Residence (urban) × precipitation							0.0023
Residence (urban) × precipitation²							−0.0025

Controls	Yes		Yes		Yes		Yes
Season of interview month fixed effects	Yes		Yes		Yes		Yes
Interview decade fixed effects	Yes		Yes		Yes		Yes
Province fixed effects	Yes		Yes		Yes		Yes

R²	0.0612		0.0613		0.0612		0.0612
Joint test, group × temperature interaction							^†
Joint test, group × precipitation interaction			^***
Joint test, group × all climate variables interaction			^***
Joint test, temperature	^***		^***		^***		^***
Joint test, precipitation
Joint test, all climate variables	^***		^***		^***		^***

Sample size	182,272		182,272		182,272		182,272

^†

p<0.10

^**

p<0.05

^***

p<0.001

Standard errors clustered at the community level. Interview month (ordinal) ranked by historical monthly precipitation within cluster.