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Table 8. Balance across attributes made salient in Studies 1 and 2. Coefficients correspond to linear probability models.

From: Price discrimination in informal labor markets in Bogotá: an audit experiment during the 2018 FIFA World Cup

 

(1)

(2)

(3)

(4)

Sample

Long List

Short List

Full Sample

Dep. Variable

Gender (=1 if Male Buyer)

Nationality (=1 if Foreigner)

Gender (=1 if Male Buyer)

List Length (=1 if Long List)

(Perceived) Vendor’s age (= 1 if 35)

0.232*** (0.072)

− 0.040 (0.076)

− 0.056 (0.105)

0.024 (0.076)

Vendor’s gender (=1 if Male)

0.032 (0.073)

− 0.046 (0.075)

− 0.068 (0.106)

− 0.018 (0.076)

Isolated vendor

0.094 (0.075)

0.008 (0.077)

0.026 (0.115)

− 0.084 (0.076)

Journey (=1 if Afternoon)

− 0.129 (0.092)

− 0.010 (0.091)

0.379*** (0.112)

0.170** (0.085)

Constant

0.373*** (0.099)

0.522*** (0.101)

0.262*** (0.117)

0.454*** (0.092)

Observations

199

199

88

194

R-squared

0.058

0.003

0.129

0.024

  1. *p < .1, **p < .05, ***p < .01. Robust standard errors are shown in parenthesis. The dependent variable in all specifications is the vendor’s price quoted in thousands of Colombian pesos (kCOP). The sample size in model (4) is 194 observations because Foreign buyers were excluded from the regression