Do People Want To Be Informed_stata

This repository contains the data and scripts to reproduce Espinosa & Stoop, Experimental Economics, 2021: Do people really want to be informed?

The project contains folders wit data, Stata codes (do-files), and R scripts.

DoFiles:

1. [ABD] Results: computes the estimates shown in the paper for Diet treatment
   • Table C1: column 1
   • Table C2: column 1
   • Table C3: columns 1 & 2
2. [Alcohol] Results: computes the estimates shown in the paper for Alcohol treatment
   • Table C1: column 2
   • Table C2: column 2
   • Table C3: columns 3 & 4
3. [Immigration] Results: computes the estimates shown in the paper for Immigration treatment
   • Table C1: column 3
   • Table C2: column 3
   • Table C3: columns 5 & 6
4. [InfoABD] Results: computes the estimates shown in the paper for Immigration treatment
   • Table C1: column 4
5. [InfoAlcohol] Results: computes the estimates shown in the paper for Immigration treatment
   • Table C1: column 5
6. [InfoImmigration] Results: computes the estimates shown in the paper for Immigration treatment
   • Table C1: column 6
7. [DiD] InfoImpact: difference-in-difference estimation
   • Table 5
8. [HeavyDrinkers] Results: Impact of incentives on heavy drinkers
   • Robustness check #6
9. [Impact] Results: regression of the information campaigns' impact
   • Table 6
10. [Placebo] Results: Look at incentive effect in placebo treatment
    • Robustness check #2
11. [Pilot] Results: Look at the order effect in the pilot
    • Robustness check #5

R Scripts:

1. MLE on full sample: computes the estimates of Table 4 (columns: 1-3-5)
2. Robustness checks MLE.
   • Robustness check #4 (focusing on the three first questions)
   • Robustness check #3 (omitting one question each time)
   • Table 8
3. Bootstrap Process: bootstraps the MLEs
4. Analyze Bootstrap Results: Analyze the results of the bootstrap process
   • Table 4: columns 2-4-6
   • Table C5