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

Table 1 Basic probit results

	Ethnicity		Gender		Ethnicity
	Experiment A		Experiment B		Experiment C
	(1)	(2)	(3)	(4)	(5)
Middle Eastern sounding/female Name	-.094*** [.009]	-.096*** [.009]	.026*** [.009]	.026** [.009]	-.128*** [.010]
Application characteristics
Extroversion/competence	.03* [.01]*	.04*** [.01]	-	-	-
Agreeableness	.03** [.01]	.02** [.01]	-	-	-
Experience = 2	.02 [.02]	.03 [.02]	-	-	-
Experience = 3	.06*** [.02]	.06*** [.02]	-	-	-
Experience = 4	.08*** [.02]	.08*** [.021]	-	-	-
Experience = 5	.03 [.02]	.04** [0.02]	-	-	-
High income area	.02* [.01]	.02 [.01]	-	-	-
Recreational sports	.02 [.01]	.01 [0.01]	-	-	-
Competitive sports	.03* [.02]	.03 [0.02]	-	-	-
Good labor market characteristics	-	-	.03*** [.01]	.03*** [.01]	-
Good personal characteristics	-	-	.04*** [.01]	.04*** [.01]	-
Increased quality application	-	-	-	-	.04*** [.02]
Other application controls	No	Yes	No	Yes	-
Occupational fixed effects	No	Yes	No	Yes	Yes
Number of observations	5,636	5,636	5,662	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.