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Secondary Regressions
As for the secondary regressions, the inclusion of all the Midwestern counties seems to weaken the strength of the coefficients, as well as the strength of the R squared terms. This is somewhat intuitive, since their inclusion enters several counties into the regression that should, by the model’s predictions, have breweries in them, but are said to have none. One interesting trend to note is that, including these counties, the median age coefficient, when tested, is seen as statistically significant at some level. The relation between the unweighted and weighted secondary regression is very similar to the relationship between the unweighted and weighted main regressions.
Table 1.2: Weighted Main Regression Results
| VARIABLES |
(1) weighted_ breweries |
(2) weighted_ breweries |
(3) weighted_ breweries |
(4) weighted_ breweries |
|---|---|---|---|---|
| ln2534 |
-0.010 (0.043) |
-0.036 (0.042) |
0.187** (0.094) |
|
| lnmedinc |
0.194*** (0.069) |
0.211*** (0.065) |
0.188*** (0.068) |
|
| lnwhitepop |
-0.000 (0.046) |
0.045 (0.044) |
0.000 (0.022) |
|
| lnobama |
0.183*** (0.019) |
0.182*** (0.019) |
0.199*** (0.020) |
0.180*** (0.018) |
| lntotalpop |
-0.226** (0.105) |
|||
| medage |
0.006* (0.003) |
|||
| Constant |
- 3.384*** (0.670) |
- 1.543*** (0.141) |
- 2.968*** (0.686) |
- 3.623*** (0.677) |
| Observations | 2,458 | 2,458 | 2,458 | 2,458 |
| Adjusted R-squared | 0.143 | 0.141 | 0.145 | 0.145 |
|
Standard errors in parentheses *** p <0.01, ** p <0.05, * p <0.1 |
|---|
Table 1.3: Unweighted Secondary Regression Results
| VARIABLES |
(1) breweries |
(2) breweries |
(3) breweries |
(4) breweries |
|---|---|---|---|---|
| ln2534 |
0.002 (0.030) |
-0.021 (0.030) |
0.067 (0.068) |
|
| lnmedinc |
0.175*** (0.049) |
0.179*** (0.047) |
0.165*** (0.048) |
|
| lnwhitepop |
-0.002 (0.033) |
0.035 (0.031) |
0.008 (0.016) |
|
| lnobama |
0.135*** (0.014) |
0.134*** (0.014) |
0.140*** (0.014) |
0.134*** (0.013) |
| lntotalpop |
-0.076 (0.076) |
|||
| medage |
0.006** (0.002) |
|||
| Constant |
- 2.856*** (0.480) |
- 1.181*** (0.101) |
- 2.706*** (0.496) |
- 3.063*** (0.485) |
| Observations | 3,109 | 3,109 | 3,109 | 3,109 |
| Adjusted R-squared | 0.144 | 0.140 | 0.144 | 0.145 |
|
Standard errors in parentheses *** p <0.01, ** p <0.05, * p <0.1 |
|---|
Table 1.4: Weighted Secondary Regression Results
| VARIABLES |
(1) weighted breweries |
(2) weighted breweries |
(3) weighted breweries |
(4) weighted breweries |
|---|---|---|---|---|
| ln2534 |
-0.012 (0.035) |
-0.037 (0.034) |
0.059 (0.077) |
|
| lnmedinc |
0.193*** (0.056) |
0.199*** (0.053) |
0.183*** (0.055) |
|
| lnwhitepop |
0.002 (0.038) |
0.043 (0.036) |
0.002 (0.018) |
|
| lnobama |
0.156*** (0.016) |
0.156*** (0.016) |
0.161*** (0.016) |
0.154*** (0.015) |
| lntotalpop |
-0.080 (0.087) |
|||
| medage |
0.008*** (0.003) |
|||
| Constant |
- 3.134*** (0.548) |
- 1.293*** (0.115) |
- 2.987*** (0.567) |
- 3.432*** (0.554) |
| Observations | 3,109 | 3,109 | 3,109 | 3,109 |
| Adjusted R-squared | 0.133 | 0.130 | 0.133 | 0.136 |
|
Standard errors in parentheses *** p <0.01, ** p <0.05, * p <0.1 |
|---|