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You are asked to study the causal effect of hours spent on employee training​ (measured in hours per worker per​ week) in a manufacturing plant on the productivity of its workers​ (output per worker per​ hour).

Required:
a. Choose a random group of employees to receive ten hours per week in additional training for a period of four weeks.​ Then, estimate the difference in productivity between workers who received the additional training and those that did not. Option _______ best describes this statement.
b. Data on hours spent on training a group of ten different employees in a certain day. Option __________ best describes this statement.
c. Data on hours spent on training the same employee for seven consecutive days. Option________ best describes this
d. Data on hours spent training for a group of ten individual employees for seven consecutive days. Option________ best describes this statement.

1. an observational time series data set.
2. an observational cross — sectional data set.
3. an ideal randomized controlled experiment.
4. an observational panel data set.

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Answer:

a. Option 3 best describes this statement.

This is because the option compares two different sets of employees receiving training and not receiving any training, it represents the case of an ideal randomized controlled experiment.

b. Option 2 best describes this statement.

This represents an observational cross sectional data set.

c. Option 1 best describes this statement.

This represents an observational time series data set because there are seven days track period of the employee.

d. Option 4 best describes this statement.

Since this represents a mixture of time series and cross sectional data set, it is panel data set.

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