Replication Data for "THE IMPLICATIONS OF UNCERTAIN ECONOMIC PATHS FOR REVENUE PROJECTIONS" (doi:10.7910/DVN/V1Y2RW)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for "THE IMPLICATIONS OF UNCERTAIN ECONOMIC PATHS FOR REVENUE PROJECTIONS"

Identification Number:

doi:10.7910/DVN/V1Y2RW

Distributor:

Harvard Dataverse

Date of Distribution:

2023-01-03

Version:

1

Bibliographic Citation:

Burman, Leonard, 2023, "Replication Data for "THE IMPLICATIONS OF UNCERTAIN ECONOMIC PATHS FOR REVENUE PROJECTIONS"", https://doi.org/10.7910/DVN/V1Y2RW, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for "THE IMPLICATIONS OF UNCERTAIN ECONOMIC PATHS FOR REVENUE PROJECTIONS"

Identification Number:

doi:10.7910/DVN/V1Y2RW

Authoring Entity:

Burman, Leonard (Syracuse University)

Distributor:

Harvard Dataverse

Access Authority:

Burman, Leonard

Depositor:

Burman, Leonard

Date of Deposit:

2023-01-03

Holdings Information:

https://doi.org/10.7910/DVN/V1Y2RW

Study Scope

Keywords:

Social Sciences, Microsimulation in the Cloud

Abstract:

The project cannot be exactly replicated by external researchers because the underlying tax data are confidential and the tax model is proprietary. However, this archive includes information researchers could use with their own microsimulation model and data. The public use file is available from the Statistics on Income division of the IRS for a fee. The tax model is proprietary. An open-source tax model is available from the Policy Simulation Library. See https://taxcalc.pslmodels.org/usage/overview.html for a description of the model.

Notes:

Contact the author with questions.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Leonard Burman, Benjamin Page, and David Weiner, "THE IMPLICATIONS OF UNCERTAIN ECONOMIC PATHS FOR REVENUE PROJECTIONS," National Tax Journal, volume 75, number 4, December 2022.

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