A government is looking to evaluate the impact of a price information policy (PIP) that provides...

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A government is looking to evaluate the impact of a price information policy (PIP) that provides individuals with information on healthcare prices charged by all general practitioners (GP) within 10 kilometers of their house. The outcome of interest is H it, which is the annual healthcare cost of individuali in yeart. To evaluate the policy, the government has collected Hit data for a large random sample of 15,000 individuals from the population in year t, when the PIP was not rolled out. The government will again collect Hit+1 data next year (e.g, in year t+11, when the PIP is rolled out. In addition, the government has data on A, which is the age of individuali in the baseline year t le.g. before the PIP is rolled out). So, in total, there are n-30.000 observations in the sample when yeart+1 is done for evaluating the impact of the PIP. With these current and potential data on Hit and Aavailable for your analysis, please answer the following 3 questions (QUESTIONS 19-21). In answering each question, be precise and explicitly use relevant formulas, equations, and concepts from the subject. D Question 19 Describe how you would advise the government to roll out the PIP in a way that would allow you to evaluate its differential impact via difference-in-differences (DID) on H it among individuals in 3 different age brackets in year t: () under 30 years old: 60 30-60 years old and (ii) over 60 years old. A in describing your rollout, assume that no two individuals in your sample talk to each other at all about the PIP at any point between yeart and t+1. That is, assume each individual experiences the PIP in isolation if they receive it B. Be sure to define the relevant "treatment" and "control groups created by the rollout that you recommend. Question 20 State the DID regression equation you would use to quantify the impact of the PIP on H it among individuals in the 3 different age brackets. If necessary, formally define any additional variables you would have to construct from the data described above to estimate your regression equation. D Question 21 Formally state the null and alternative hypothesis for evaluating, statistically, whether the PIP has a differential impact on Hit among the 3 different age brackets. Also state the relevant test statistic you would use to undertake the test and, if necessary, any relevant degrees of freedom for the test statistic's distribution. A government is looking to evaluate the impact of a price information policy (PIP) that provides individuals with information on healthcare prices charged by all general practitioners (GP) within 10 kilometers of their house. The outcome of interest is H it, which is the annual healthcare cost of individuali in yeart. To evaluate the policy, the government has collected Hit data for a large random sample of 15,000 individuals from the population in year t, when the PIP was not rolled out. The government will again collect Hit+1 data next year (e.g, in year t+11, when the PIP is rolled out. In addition, the government has data on A, which is the age of individuali in the baseline year t le.g. before the PIP is rolled out). So, in total, there are n-30.000 observations in the sample when yeart+1 is done for evaluating the impact of the PIP. With these current and potential data on Hit and Aavailable for your analysis, please answer the following 3 questions (QUESTIONS 19-21). In answering each question, be precise and explicitly use relevant formulas, equations, and concepts from the subject. D Question 19 Describe how you would advise the government to roll out the PIP in a way that would allow you to evaluate its differential impact via difference-in-differences (DID) on H it among individuals in 3 different age brackets in year t: () under 30 years old: 60 30-60 years old and (ii) over 60 years old. A in describing your rollout, assume that no two individuals in your sample talk to each other at all about the PIP at any point between yeart and t+1. That is, assume each individual experiences the PIP in isolation if they receive it B. Be sure to define the relevant "treatment" and "control groups created by the rollout that you recommend. Question 20 State the DID regression equation you would use to quantify the impact of the PIP on H it among individuals in the 3 different age brackets. If necessary, formally define any additional variables you would have to construct from the data described above to estimate your regression equation. D Question 21 Formally state the null and alternative hypothesis for evaluating, statistically, whether the PIP has a differential impact on Hit among the 3 different age brackets. Also state the relevant test statistic you would use to undertake the test and, if necessary, any relevant degrees of freedom for the test statistic's distribution.