Download and store US Distributional National Accounts Data (http://gabriel-zucman.eu/usdina/) using DataDeps.jl
Author greimel
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4 Months Ago
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February 2021


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This package uses DataDeps.jl to download the US distributional national accounts (DINA) dataset from Gabriel Zucman's website. The data are downloaded in bulk (>1GB) and stored in .julia/datadeps/dina/.

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.

The variables are described in the codebook at Gabriel Zucman's website.


Load the DINA micro-data by year

using DINA, DataFrames

tbl = get_dina(1980)
df80 = DataFrame(tbl)

or load a quantile-year panel (takes about 1-2 minutes for 1962--2019).

using DINA

inc = :peinc
wgt = :dweght

dbt_var = [:ownermort, :rentalmort, :nonmort, :hwdeb]
var = [[:fiinc, :fninc, :ptinc, inc, :poinc, :ownerhome, :rentalhome]; dbt_var]
byvar = inc # compute deciles of `:peinc`

df = dina_quantile_panel(var, byvar, 10)

This is a picture you can produce using df. Have a look at the documentation for the full code.

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