Table 5
Open in new tab

Estimated structural parameters

 OLS IV
 EstimateConfidence interval EstimateConfidence interval
|$\lambda_{1}$|0.628[0.520, 0.782] 0.866[0.551, 1.944]
|$\lambda_{2}$|0.524[0.409, 0.687] 0.387[0.163, 1.093]
|$\gamma$|4.94[4.120, 6.070] 3.215[2.380, 4.965]
|$\lambda_{1}-\lambda_{2}$|0.104[-0.028, 0.233] 0.479[0.166, 1.070]
 OLS IV
 EstimateConfidence interval EstimateConfidence interval
|$\lambda_{1}$|0.628[0.520, 0.782] 0.866[0.551, 1.944]
|$\lambda_{2}$|0.524[0.409, 0.687] 0.387[0.163, 1.093]
|$\gamma$|4.94[4.120, 6.070] 3.215[2.380, 4.965]
|$\lambda_{1}-\lambda_{2}$|0.104[-0.028, 0.233] 0.479[0.166, 1.070]

The table reports point estimates and 95|$\%$| confidence intervals of the structural parameters implied by the regression results reported in Table 4, columns 1 and 2. It is based on 100,000 draws from the distribution of the reduced-form parameters |$[a_{1},a_{2},a_{3}]$|⁠.

Table 5
Open in new tab

Estimated structural parameters

 OLS IV
 EstimateConfidence interval EstimateConfidence interval
|$\lambda_{1}$|0.628[0.520, 0.782] 0.866[0.551, 1.944]
|$\lambda_{2}$|0.524[0.409, 0.687] 0.387[0.163, 1.093]
|$\gamma$|4.94[4.120, 6.070] 3.215[2.380, 4.965]
|$\lambda_{1}-\lambda_{2}$|0.104[-0.028, 0.233] 0.479[0.166, 1.070]
 OLS IV
 EstimateConfidence interval EstimateConfidence interval
|$\lambda_{1}$|0.628[0.520, 0.782] 0.866[0.551, 1.944]
|$\lambda_{2}$|0.524[0.409, 0.687] 0.387[0.163, 1.093]
|$\gamma$|4.94[4.120, 6.070] 3.215[2.380, 4.965]
|$\lambda_{1}-\lambda_{2}$|0.104[-0.028, 0.233] 0.479[0.166, 1.070]

The table reports point estimates and 95|$\%$| confidence intervals of the structural parameters implied by the regression results reported in Table 4, columns 1 and 2. It is based on 100,000 draws from the distribution of the reduced-form parameters |$[a_{1},a_{2},a_{3}]$|⁠.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close