GTAP Resources: Resource Display
GTAP Resource #5746 |
---|
"Micro-founded tax policy effects in a heterogeneous-agent macro-model" by d'Andria, Diego, Jason DeBacker, Richard W. Evans, Jonathan Pycroft and Magdalena Zachlod-Jelec Abstract Microsimulation models are increasingly used to calibrate macro models for tax policy analysis. Yet, their potential remains underexploited, especially in order to represent the non-linearity of the tax and social benefit system and interactions between capital and labour incomes which play a key role to understand behavioural effects. Following DeBacker et al. (2018b) we use a microsimulation model to provide the output with which to estimate the parameters of bivariate non-linear tax functions in a macro model. In doing so we make marginal and average tax rates bivariate functions of capital income and labour income. We estimate the parameters of tax functions in order to capture the most important non-linearities of the actual tax schedule, together with interaction effects between labour and capital incomes. To illustrate the methodology, we simulate a reduction in marginal personal income tax rates in Italy with a microsimulation model, translating the microsimulation results into the shock for a dynamic overlapping generations model. Our results show that this policy change affects differently households distinguished by age and ability type. |
Resource Details (Export Citation) | GTAP Keywords | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
- Dynamic modeling - Demographics - Economic growth - European Union |
Attachments |
---|
If you have trouble accessing any of the attachments below due to disability, please contact the authors listed above.
Public Access GTAP Resource 5746 (2.6 MB) Replicated: 0 time(s) Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
Comments (0 posted) |
---|
You must log in before entering comments.
No comments have been posted. |
Last Modified: 9/15/2023 1:05:45 PM