Table 1.

Inflation expectations: gender and grocery shopping

	Across households			Within households
	1	2	3	4	5	6
Female	$0.291^{***}$		0.134	$0.330^{***}$		0.162
	$\left(0.081\right)$		(0.092)	$\left(0.106\right)$		(0.119)
Main grocery shopper		$0.474^{***}$	0.413***		$0.516^{***}$	0.415***
		$\left(0.106\right)$	(0.118)		$\left(0.132\right)$	(0.149)
Demographics	X	X	X	X	X	X
Expectations	X	X	X	X	X	X
Household FE				X	X	X
${\mathrm{R}}^2$	0.107	0.108	0.108	0.616	0.616	0.611
Observations	20,866	20,866	20,866	20,866	20,866	20,866

Shown are ordinary-least-squares coefficients and standard errors clustered at the household level (in parentheses). Observations are the responses of male and female heads of household in the customized Chicago Booth Expectations and Attitudes Survey, which we fielded in June 2015 and 2016. In all columns, the outcome variable is respondents’ 12-mo-ahead numerical inflation expectations. Female is an indicator for female heads; Main grocery shopper is an indicator equal to 1 for the respondents who declare they are the main grocery shopper for the household; Demographics include age, square of age, employment status, 16 income dummies, home ownership, marital status, college dummy, four race dummies, reported risk tolerance, and confidence in inflation-expectations accuracy. Expectations include dummies for respondents’ 12-mo-ahead qualitative income expectations, 12-mo-ahead individual financial soundness, and 12-mo-ahead aggregate US growth. Household fixed effects (FE) are included in columns 4–6. ***$P<0.01$.