Does gender differ by treatment status? Also check if age varies by treatment status.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

For the purpose of this exercise, the variables can be summarized as:
• Public: binary variable (1 if the individual chose to spend money on his/her family, 0 if the money was spent only on him/herself).
• Treatment: binary variable (1 if the individual had to exert effort to gain the money, 0 if s/he did not)
• Male: binary variable (0 for a female, 1 for a male)
• Age in years is a continuous variable

Model 1: Publici = βo + β1 Male I + β2 Treatmenti + ei

Model 2: Publici = βo + β1 Malei + β2 Treatmenti + β3 Treatment*Malei + ei

a) Does gender differ by treatment status? Also check if age varies by treatment status. What would a simple ttest on age (or gender) by treatment help us determine/conclude? 
b) Use simple OLS regression technique to estimate models 1-2. Present the results in a Table similar to Table 3 of Dasgupta and Mani (2015). How do you interpret in words each of the β coefficients in the models? Also comment on the statistical significance of these coefficients. 

 

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