2SLS test with instrumental variable
| First-stage regression | Second-stage regression | |||||
|---|---|---|---|---|---|---|
| Dependent variable | lnProx_KM | lnProx_MN | NumKAMs | NumWords | NumKAMs | NumWords |
| IND_AVG_PROX_KM | 0.062* (0.036) | |||||
| IND_AVG_PROX_KM | 0.029** (0.016) | |||||
| lnProx_KM | −0.038** (0.019) | −0.033* (0.022) | ||||
| lnProx_MN | −0.052** (0.023) | −0.054** (0.026) | ||||
| Constant | 2.367* (1.328) | 3.575*** (1.160) | −1.266 (0.862) | 4.478*** (0.964) | −0.663 (1.124) | 4.906*** (1.376) |
| Observations | 465 | 465 | 465 | 465 | 465 | 465 |
| R-squared | 0.176 | 0.430 | 0.233 | 0.157 | 0.184 | 0.210 |
| Other controls | Yes | Yes | Yes | Yes | Yes | Yes |
| Year FE | Yes | Yes | Yes | Yes | Yes | Yes |
| Industry FE | Yes | Yes | Yes | Yes | Yes | Yes |
| Prob > F | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| First-stage regression | Second-stage regression | |||||
|---|---|---|---|---|---|---|
| Dependent variable | lnProx_KM | lnProx_MN | NumKAMs | NumWords | NumKAMs | NumWords |
| IND_AVG_PROX_KM | 0.062 | |||||
| IND_AVG_PROX_KM | 0.029 | |||||
| lnProx_KM | −0.038 | −0.033 | ||||
| lnProx_MN | −0.052 | −0.054 | ||||
| Constant | 2.367 | 3.575 | −1.266 (0.862) | 4.478 | −0.663 (1.124) | 4.906 |
| Observations | 465 | 465 | 465 | 465 | 465 | 465 |
| 0.176 | 0.430 | 0.233 | 0.157 | 0.184 | 0.210 | |
| Other controls | Yes | Yes | Yes | Yes | Yes | Yes |
| Year | Yes | Yes | Yes | Yes | Yes | Yes |
| Industry | Yes | Yes | Yes | Yes | Yes | Yes |
| Prob > | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
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
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