Conditional Means (Continuous) (Data Analysis)

Using the eth_allrounds_final data, now consider how an outcome varies with a continuous household-level variable by binning it.

1. Use xtile to create quartiles (asset_q) of household asset index (hh_asset_index). Label the variable as “Asset Quartiles”. For each asset quartile, use bys and sum to compute the mean harvest value (harvest_value_USD). Which quartile has the higest mean value of harvest?

2. Make a bar graph using hbar showing the mean harvest value (harvest_value_USD) over both asset quartile (asset_q) and over if the household experienced a shock to their crops (crop_shock).

   1. Add an informative title and axis label.
   2. Tell Stata to treat the categories as if the first category are variables on y-axis (asyvar). This will allow us to change the color of each bar.
   3. Set the color and intensity of bar 1 as navy*3
   4. Color bar 2 forest_green, bar 3 sienna, and bar 4 maroon
   5. Place the legend on the bottom of the graph (pos) in four column (col)
   6. Label group 1 “lowest”, group 2 as “Lower Middle”, group 3 as “Upper Middle”, and group 4 as “Highest”

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