Does the design of correspondence studies influence the measurement of discrimination?

Table 2 Decomposition

	Ethnicity	Gender	Ethnicity
	Experiment A	Experiment B	Experiment C
	(1)	(2)	(3)
A. Basic probit
Middle Eastern sounding/female name	-.096*** [.009]	.026** [.009]	-.128*** [.010]
B. Heteroskedastic probit
Middle Eastern sounding/female name	-.098*** [.009]	.029*** [.010]	-.135*** [.011]
C. Decomposition
Marginal effect of name through level	-.088*** [.023]	.001 [.024]	-.090** [.029]
Marginal effect of name through variance	-.010 [.025]	.028 [.025]	-.044 [.033]
Relative standard deviation of unobserved variables	.96	1.13	.83
Wald test statistic, standard deviation == 1 (p-value)	.68	.29	.14
Wald statistic, ratios of coefficients are equal (p-value)	.67	.89	-
Other application controls	Yes	Yes	-
Occupational fixed effects	Yes	Yes	Yes
Number of observations	5,636	5,662	3,536

Notes: The dependent variable is an indicator variable that takes the value one if the applicant was invited to a job interview and zero otherwise. The reported standard errors (in brackets) are clustered at the job advertisement level. ***, **, and * denote the 1, 5 and 10 percent significance levels, respectively.