Do People Want To Be Informed_stata

The project contains folders wit data, Stata codes (do-files), and R scripts. DoFiles: [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 [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 [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 [InfoABD] Results: computes the estimates shown in the paper for Immigration treatment Table C1: column 4 [InfoAlcohol] Results: computes the estimates shown in the paper for Immigration treatment Table C1: column 5 [InfoImmigration] Results: computes the estimates shown in the paper for Immigration treatment Table C1: column 6 [DiD] InfoImpact: difference-in-difference estimation Table 5 [HeavyDrinkers] Results: Impact of incentives on heavy drinkers Robustness check #6 [Impact] Results: regression of the information campaigns' impact Table 6 [Placebo] Results: Look at incentive effect in placebo treatment Robustness check #2 [Pilot] Results: Look at the order effect in the pilot Robustness check #5 R Scripts: MLE on full sample: computes the estimates of Table 4 (columns: 1-3-5) Robustness checks MLE.

Robustness check #4 (focusing on the three first questions) Robustness check #3 (omitting one question each time) Table 8 Bootstrap Process: bootstraps the MLEs Analyze Bootstrap Results: Analyze the results of the bootstrap process Table 4: columns 2-4-6 Table C5