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# DINA | ||
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://greimel.github.io/DINA.jl/stable) | ||
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://greimel.github.io/DINA.jl/dev) | ||
[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://greimel.github.io/DINA.jl/stable/) | ||
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://greimel.github.io/DINA.jl/dev/) | ||
[![Build Status](https://github.com/greimel/DINA.jl/workflows/CI/badge.svg)](https://github.com/greimel/DINA.jl/actions) | ||
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This package uses DataDeps.jl to download the US distributional national accounts (DINA) dataset from [Gabriel Zucman's website](http://gabriel-zucman.eu/usdina/). The data are downloaded in bulk (>1GB) and stored in `.julia/datadeps/dina/`. | ||
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The dataset is described in Piketty, T, E. Saez and G. Zucman: **Distributional National Accounts: Methods and Estimates for the United States**, *Quarterly Journal of Economics, 2018, 133 (2): 553-609.* | ||
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The variables are described in [the codebook at Gabriel Zucman's website](http://gabriel-zucman.eu/files/PSZCodebook.pdf). | ||
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## Usage | ||
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Load the DINA micro-data by year | ||
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```julia | ||
using DINA, DataFrames | ||
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tbl = get_dina(1980) | ||
df80 = DataFrame(tbl) | ||
``` | ||
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or load a quantile-year panel (takes about 1-2 minutes for 1962--2019). | ||
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```julia | ||
using DINA | ||
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inc = :peinc | ||
wgt = :dweght | ||
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dbt_var = [:ownermort, :rentalmort, :nonmort, :hwdeb] | ||
var = [[:fiinc, :fninc, :ptinc, inc, :poinc, :ownerhome, :rentalhome]; dbt_var] | ||
byvar = inc # compute deciles of `:peinc` | ||
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df = dina_quantile_panel(var, byvar, 10) | ||
``` | ||
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This is a picture you can produce using `df`. Have a look at the documentation for the full code. | ||
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![](https://greimel.github.io/DINA.jl/stable/fig_dbt.svg) |
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