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  • Interpreting interaction terms



    I have retail price data for 31 different products observed weekly in 10 stores of the same chain spread across 3 states for 5 years. I want to study if prices vary differently during holidays across states. In some states, there are policies that prohibit pricing below cost. I do not have cost data, hence as a proxy I use weekly gas prices in these states.

    My Model: log(price (ijt)) ~ policy_dummy (j) * holiday_dummy (t) * gas price (j) + product FE + state FE + year FE
    subscripts : product i, store j, week t

    I need help interpreting the coefficients.
    1. Does the coefficient of the holiday_dummy only term correspond to when policy dummy is 0? Can it be interepreted as product prices fall by 0.7% in state where there in no policy on minimum markup during holidays?
    2. holiday_dummy:gas_price -> During holidays, an increase in gas price is associated with 0.2% increase in product prices in states where the policy isn't enforced. Is this right?

    Click image for larger version

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  • #2
    George:
    is it a Stata outcome table?
    Kind regards,
    Carlo
    (StataNow 18.5)

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