In all TSLS
estimates, we use the fourth and fifth lagged values of this variable as instruments of the capital-output ratio.
has 15 items and is composed of the original five items assessing global life satisfaction in the SWLS reworded to measure past, present and future life satisfaction.
See J statistic for each TSLS
regression in Tables 1-5.
regression shows that on average one percent increase in GDP per capita will increase the foreign direct investment net inflows as percent of GDP by 2.
Panel regression results for the Baltic States, Romania and Bulgaria Dependent Variable: d[(Market share of loans), Cross-sections included: 5 (the first quarter of 1999--the second quarter of 2010) Variable TSLS
random effects effects C 0.
The second column uses a TSLS
with the percentage of the states' workforces in firms of different sizes as instruments.
As seen previously, however, in cases where the regression is estimated by TSLS
, it is not necessary to include an error correction term, even when the series are cointegrated.
In particular, whereas the marginal effect of private insurance coverage before pregnancy changes dramatically moving from the single equation logistic to the two-equation logistic model with the Terza adjustment, it changes little moving from the single equation OLS model to the two-equation TSLS
model, which also adjusts for simultaneity bias.
regression analysis (Series 1) is an appropriate estimation procedure in situations where there is a simultaneous relationship between the dependent variable and one or more of the independent variables in a regression model (Gujarati, 1995).
Nevertheless, the results using TSLS
are very similar to those of Model 3, suggesting that the estimate of CD is fairly robust.
t] equation, then the estimated TSLS
coefficient would be an inconsistent estimate of [beta].
The significance of the TSLS
model is shown by the F statistics, which are greater than the critical value.