The following matrix represents a possible outcome of a two-factor experiment:   No Treatment Treatment                           Male     20 15 Overall M = 17.5                      Female 25 10 Overall M = 17.5   Overall M = 22.5 Overall M = 12.5

Indicate whether the statement is true or false, and justify your answer.Results from the Oregon Medicaid Experiment suggest that having health insurance has a positive impact on health status.

A competitive labor market offers traineeship programs. During the training, employees of type 1 will create a product worth dollars 1,000, while employees of type 2 will create a product worth dollars 5,000. The two types are indistinguishable, but type 2 is more patient - for these workers, sitting in on a Harvard lecture bored is just as harmful as losing 200 dollars, and for type 1 employees, losing 400 dollars. After completing the lectures and completing the training, all employees leave for Canada, where, due to the withdrawal from the American process, Canadian lectures are not counted. There is a separating balance in which those who listen to lectures with a total length of X hours will receive a salary of Dollars 5,000, and those who do not listen - Dollars 1,000. What are the possible values ​​of X?

In the early 2000s, the state of Massachusetts in the U.S. implemented a health reform aimed at enrolling people without health insurance into an insurance plan. The reform required people without health insurance (at least those who could afford it) to buy insurance, and put in place penalties on those who nevertheless chose not to buy insurance. Below is the abstract of a recent National Bureau of Economic Research working paper entitled “Health Reform, Health Insurance, and Selection: Estimating Selection into Health Insurance Using the Massachusetts Health Reform” by Martin Hackmann, Jonathan Kolstad, and Amanda Kowalski. The authors conducted a study of the effects of the Massachusetts reform. They write:   We implement an empirical test for selection into health insurance using changes in coverage induced by the introduction of mandated health insurance in Massachusetts. Our test examines changes in the cost of the newly insured relative to those who were insured prior to the…

"Why can’t I just test the individual coefficients one at a time"? is this approach is unreliable?

At the consulting agency, they recognize that water/wastewater customers fall under different segments. Each segment supports different characteristics that influence the services accessible to them and the price for these services. For simplification, these segments have been grouped into two categories: commercial and residential customers. Each segment has different rates. The commercial customers have a demand curve of d₁ = 3,500 - 125p₁. While residential customers have a demand curve of d2 = 8,000 - 50p2. The water/wastewater operation cost is c = $2 per unit or gallon. What is the total profit at differential pricing? $257,162 $296,537 $333,175 $344,325

One of the pitfalls of Randomized Control Trials is that:   Hard to ensure that people who are randomly assigned to treatment group are actually treated. Hard to come up with reasonable alternatives that are uniquely different from the control groups Control Group Contamination. All of the above. None of the above.

The following is an abstract from the paper "Discrimination in Health Care: A Field Experiment on the Impact of Patients' Socioeconomic Status on Access to Care," by Silvia Angerer, Christian Waibel, and Harald Stummer. We employ a large-scale field experiment to investigate the impact of patients' socioeconomic status on access to care. We request an appointment at more than 1,200 physicians in Austria, varying the educational level of the patient. Our results show that overall patients with a university degree receive an appointment significantly more often than patients without a degree. Differentiating between practice assistants and physicians as responders, we find that physicians provide significantly shorter response times and marginally significant shorter waiting times for appointments for patients with than without a university degree. Our results thus provide unambiguous evidence that discrimination by health providers contributes to the gradient in access to care.…

Scenario 38-3. Consider the following statistical model of workers salaries and years of job tenure, where e; stands for the random error: SALARY = 0 + ẞ1 × YEARS; + ej. Refer to Scenario 38-3. Suppose that some people are simply more capable than others. When would the estimate of ẞ, be unbiased? 0000 As long as the model is applied to observational data As long as the underlying data comes from a natural experiment As long as ability and tenure are not correlated As long as ability and tenure are correlated