Table 11.

2SLS test with instrumental variable

First-stage regressionSecond-stage regression
Dependent variablelnProx_KMlnProx_MNNumKAMsNumWordsNumKAMsNumWords
IND_AVG_PROX_KM0.062* (0.036)
IND_AVG_PROX_KM0.029** (0.016)
lnProx_KM−0.038** (0.019)−0.033* (0.022)
lnProx_MN−0.052** (0.023)−0.054** (0.026)
Constant2.367* (1.328)3.575*** (1.160)−1.266 (0.862)4.478*** (0.964)−0.663 (1.124)4.906*** (1.376)
Observations465465465465465465
R-squared0.1760.4300.2330.1570.1840.210
Other controlsYesYesYesYesYesYes
Year FEYesYesYesYesYesYes
Industry FEYesYesYesYesYesYes
Prob > F0.0000.0000.0000.0000.0000.000
Note

Note(s): This table reports the results of the two-stage least squares (2SLS) estimation examining the effect of auditor–client geographic proximity on key audit matters (KAMs). The instrumental variables IND_AVG_PROX_KM and IND_AVG_PROX_KM IND_AVG_PROX_MN IND_AVG_PROX_MN represent the industry-year average geographic proximity measures and are used to instrument lnProx_KM and lnProx_MN in the first stage regression. Variable definitions are provided in Table 2. Robust standard errors are reported in parentheses. ***p < 0.01, **p < 0.05, *p < 0.10

Source(s): Authors’ own calculations

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