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This is a nice, quick and easy tax estimator. I would suggest adding an entry for ages of the filer/filers to account for increased standard deduction for 65 and over. Thanks! Reply Go Curry Cracker on December 30, 2019 at 4:54 pm I looked at this a bit… the calc would need a...
where α^ is the initial estimator and ms the empirical mean provided in the data set. With this method, the mean α is 2.66 (minimum 1.17) in California and 4.09 (minimum 1.10) in the ten no-TLE States. Appendix C: Data bases The Elementary/Secondary Information System (ELSI) collects...
GMM is a very powerful estimator commonly used to investigate dynamic panel data models such as in (3) where endogeneity is the issue (Bertoni et al., 2011; Blundell et al., 2002; Colombo et al., 2013; Dosi et al., 2015; García-Manjón and Romero-Merino, 2012; Onishi, 2013; ...
LTG* denotes the desired level of long-term gain realizations; it can be negative, and the estimation relies on a Tobit estimator to handle truncation at zero. This specification allows for a separate effect of the permanent tax rate on capital gains (τcg, perm), the current tax rate on...
Notes: The dashed line represents the 95% confidence interval for the quantile regression estimator. Regarding tax burden, as seen in Table 3 and Figure 2, at different quantiles, the coefficients of the tax burden (ln Tax) with respect to CO2 emissions are clear heterogeneous, but supporting ...
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4), we use again a mixed logit estimator and randomize our variables of interest in the remaining regressions. Again, we observe that the estimated standard deviations of the normal distribution are highly significant; therefore, we prefer this approach and apply mixed logit regressions in the ...
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