# TriplePC - a microsimulation model with some novel features

**URL:** https://discourse.julialang.org/t/triplepc-a-microsimulation-model-with-some-novel-features/111166
**Category:** Finance and Economics
**Created:** [March 4, 2024, 11:36pm UTC](https://discourse.julialang.org/t/triplepc-a-microsimulation-model-with-some-novel-features/111166 "2024-03-04T23:36:16Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![grahamstark](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/grahamstark/32/5200_2.png) [@grahamstark](https://discourse.julialang.org/u/grahamstark)
#### Post date: [March 4, 2024, 11:36pm UTC](https://discourse.julialang.org/t/triplepc-a-microsimulation-model-with-some-novel-features/111166/1 "2024-03-04T23:36:16Z")

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You might be interested in the Public Policy Preference calculator (TriplePC), a microsimulation tax-benefit model built in Julia with some novel features. TriplePC shows not only the conventional effects of a welfare policy change – gainers and losers, net costs, marginal tax rates, changes to poverty and inequality, etc., but also an indication of how favourably a policy package would be viewed by the voting public. The opinion indicators are created using Conjoint Analysis, a technique originally developed in marketing, but which has recently been widely used in political polling.

The model is at [https://triplepc.northumbria.ac.uk](https://triplepc.northumbria.ac.uk).

The model code is not yet a registered package but is on [GitHub](https://github.com/grahamstark/ScottishTaxBenefitModel.jl/). The front end is built using [Genie](https://genieframework.com/) and is [kept distinct from the main model](https://github.com/grahamstark/STB2).

A few resources:

- [A paper on the conjoint popularity modelling](https://virtual-worlds.scot/triplepc/conjoint-paper-draft.pdf)
- [A paper on model construction](https://virtual-worlds.scot/triplepc/triplepc-microsim-paper-draft.pdf)
- [A presentation from a recent seminar](https://virtual-worlds.scot/triplepc/eu-presentation.pdf)