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Suppose a manufacturing firm has two factories (Factory 1 and Factory 2), and a single production...

Suppose a manufacturing firm has two factories (Factory 1 and Factory 2), and a single production process (Process A) that is used in both factories. A new process (Process B) is developed that potentially reduces production costs. To test whether Process B is less costly than Process A, an experiment is designed where:

  1. Within each Factory, products are assigned randomly to Process A or Process B.
  2. Production costs for each product are recorded.

Note that resources (i.e. materials, workers, equipment) are not reassigned across factories.

Let Yi be the cost of producing product i, let Xi be 1 if Process B is used to produce i and 0 if Process A is used, and let Wi be 1 if product i is produced in Factory 1 and 0 if it is produced in Factory 2.

In a regression of Yi on X, it is advisable to:

A. Exclude Wi as products are randomly assigned and including Wi would increase standard errors

B. Exclude Wi as it is uncorrelated with Xi

C. Include Wi as E(ui | Xi) ≠ 0, but E(Xi | Wi) = 0

D.Include Wi as E(ui | Xi) ≠ 0, but E(ui | Xi, Wi) = E(ui | Wi)

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