After the corona outbreak, there are some discussions about the accuracy of the corona-related death numbers that are reported by the governments. This is also a debate in Turkey. Some people argue that the number of corona-related deaths that are reported by the government is less than the real numbers. In this question, using city level monthly data, you are asked to build an empirical model (regression equation) that can help you test whether this argument is true or not.

The variables that you are going to use are:

1) official (reported by the government) number of total deaths for each city in Turkey for each month between March 2019 and June 2020

2) official (reported by the government) number of corona-related deaths for each city in Turkey for each month between March 2019 and June 2020 (this variable takes zero for the months before March 2020).

For the governments, it is not easy to manipulate the total death numbers as it can be easily observed by society, but it might be possible to manipulate the number of deaths that are related to corona (by changing the medical reports).

Using these two variables and some additional time controls, describe a regression model that can help you test this argument. Which coefficient in this model is the coefficient of interest? If you want to test this argument, what does the null hypothesis for that coefficient needs to be?

Answer rating: 100% (QA)

A regression model that can help me test this argument is Yt 0 1 corona deaths in the ... View the full answer