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The US government is interested in the rate of unemployment in the country. Then the government starts a survey to collect data on unemployment. The

The US government is interested in the rate of unemployment in the country. Then the government starts a survey to collect data on unemployment. The government constructs the dataset as follows:

(1st) The government lists all the states alphabetically and splits the 50 states in groups of 5.

(2nd) The government proceeds to survey a different group of 5 states every month (alphabetically, finishing the process in 10 months).

(3rd) The government calculates the unemployment rate at the state level every month (this means that there will be no data at the county nor household level in the final dataset).

(4th) The government collects all the state-level data on unemployment rate in a single dataset and post it to an official webpage for the public to download.

The result is a single dataset at a monthly frequency (for a total of 10 months) that contains the unemployment rate for the 50 states. Notice, however, that every month there are 45 empty entries in the dataset.

Which of the following best describes the dataset the government posted in its website? [Hint: it helps to construct a fictitious dataset in a spreadsheet following the details in the steps above.]

Time series data.

Cross-section data.

Pooled data, but not panel data.

Pooled data, specifically panel data.

None of the above.

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