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Estimating Confidence Intervals in a Tax Microsimulation Model

In "Estimating Confidence Intervals in a Tax Microsimulation Model", we calculate the confidence intervals for a large tax microsimulation model. This data set contains all the appendix tables for the paper. We apply the bootstrapping methodology to examine the Tax Policy Center’s microsimulation distributional estimates of five alternative tax policy proposals if implemented in 2019. These proposals are (i) a partial restoration of the personal exemption eliminated by the Tax Cuts and Jobs Act of 2017, (ii) an increase in the standard deduction, (iii) an increase in the top statutory income tax rate, (iv) replacing the current-law farm loss deduction with a revenue-neutral refundable tax credit based on the total farm loss, and (v) a rescission of the tax-free treatment of interest accruing from certain government bonds.

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FieldValue
Modified
2020-02-23
Release Date
2019-11-13
Identifier
1c9a14b0-d109-490b-a814-5f1c53039445
License
Author
Robert McClelland, Surachai Khitatrakun, Chenxi Lu
Contact Name
Urban Institute
Contact Email
Public Access Level
Public
These fields are specific to Urban Institute.
FieldValue
Data Value
Original Data Source
Citation Requirements

Urban Institute. 2019. Estimating Confidence Intervals in a Tax Microsimulation Model. Accessible from https://datacatalog.urban.org/dataset/estimating-confidence-intervals-ta.... Data originally sourced from Urban-Brookings Tax Policy Center Microsimulation Model (version 0319-1), developed at the Urban Institute, and made available under the ODC-BY 1.0 Attribution License.