The Value of Qualitati=
ve
Data to Public Policy Research
•An opportunity to ask “why?” and explore possible answers to
causal questions – more probing after a regression model
. reg del_rate pc_fhhwch empl_rate=
Source |<=
span
style=3D'mso-spacerun:yes'> SS<=
span
style=3D'mso-spacerun:yes'> df<=
span
style=3D'mso-spacerun:yes'> MS<=
span
style=3D'mso-spacerun:yes'> =
;
Number of obs =3D =
;
109
-------------+------------------------------ =
;
F( 2, 106) =3D 121.65
Mod=
el
| 2596916.94 2 1298458.47 =
;
Prob > F =3D 0.0000
Residual | 1131397.37 106 10673.5601 =
;
R-squared
=3D 0.6965
-------------+-------------------=
----------- =
;
Adj R-squared =3D 0.6=
908
Tot=
al
| 3728314.31 108 34521.4288 =
;
Root MSE &n=
bsp;
=3D 103.31
---------------------------------=
---------------------------------------------
del_rate | Coef. Std. Err. t P>|t| [95% Conf. Inte=
rval]
-------------+-------------------=
---------------------------------------------
pc_fhhwch | .1268632 .008259 15.36 0.000 .1104889 .1432374
empl_rate | 1559.947 507.3358 3.07 0.003 554.1046 2565.79<=
span
style=3D'font-size:56%;display:none'>
_co=
ns
| -1429.576 477.1487 -3.00 0.003 -2375.57 -483.5823
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