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The version of the model in column (5) is the best amongst our models.
We can, however, observe from the model in column (5) that adequate use of prenatal care increases birth weight.
The version of the model in column (5) includes higher order terms for controlling for unobserved heterogeneity.
We include higher order terms that control for unobserved heterogeneity in the version of the model in column (5).
The survival model in column (5) consists of a complementary log-log regression and confirms the scenario of the benchmark model.
Among all the versions of the model, we choose the version of the model in column (5) as the most appropriate.
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We show the results for the sample selection model in Columns (1) and (2) of the table and those of the prenatal care model in columns (3) and (4) of the table.
If, however, the year of accession is used as the start year, as in the APS model in columns (3) and (4), things are a lot better.
The model in columns (1) and (2) is appropriate because the null is rejected for the first-order serial correlation and cannot be rejected for the second-order correlation.
The results for random effects 2SLS model in columns 4 1 and 4 2 are similar to those without fixed effects, and so are those from a fixed effect model (not reported), although the effect of permanent stays negative but becomes statistically insignificant.
Results are presented for our base model (model A in columns 1 and 2) and full model (model D in columns 3 and 4) for each of these subsamples in Table 6.
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