This simulation generates random outcomes for probabilistic factors which imitate the randomness inherent in the original problem. а. Масrо Еcono O b. Monte Carlo O c. Multisim d. MatLAB
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- Explain probability and nonprobability samplingtechniques.Which of the following variables is considered random or probabilistic? O Micky Mantle's lifetime batting average O last week's sales data O future interest rates O historical stock pricesWhat is sampling? Explain the differences between probability and nonprobability samples and identify the various typesof each
- NOMETRICS I| / My courses / Faculty Of Economics & Administrative Sciences / ECON309 / Finals/ ECON 309 Final Exam Assignm 15. Interpreting the intercept in a sample regression function is Oa. reasonable because under certain conditions the estimator is BLUE. of Ob. reasonalble if your sample contains values of Xi around the origin. tion Oc not reasonable because economists are interested in the effect of a change in X on the change in Y. d. not reasonable because you never observe values of the explanatory variables around the origin. Next pageExlplain Linear Conditionally Unbiased Estimators and the Gauss–Markov Theorem with its limitations?Please no written by hand solution Kate recently invested in real estate with the intention of selling the property one year from today. She has modeled the returns on that investment based on three economic scenarios. She believes that if the economy stays healthy, then her investment will generate a 30 percent return. However, if the economy softens, as predicted, the return will be 10 percent, while the return will be -25 percent if the economy slips into a recession. If the probabilities of the healthy, soft, and recessionary states are 0.6, 0.2, and 0.2, respectively, then what are the expected return and the standard deviation of the return on Kate❝s investment? Calculate the coefficient of variation for this investment. (Round expected return to 3 decimal places, e.g. 0.125 and round intermediate calculations and standard deviation to 5 decimal places, e.g. 0.07680.)
- Am. 300.What is the difference between univariate and multivariate analysis? Give an example for when a univariate analysis might be used and an example of when we use multivariate analysis.Give typing answer with explanation and conclusion Suppose that the government must undertake an irreversible policy decision regarding the extent of air pollution regulation. The government is making this decision in a situation of uncertainty, however. In particular, there is some probability p that the benefits will remain the same as they are this year for all future years, but there is some probability 1 - p that benefits will be less in all future years. If we take into consideration the multiperiod aspects, should we err on the side of overregulation or underregulation, compared to what we would do in a single-period choice?
- Q4: An investor invests $1000 a month, on average, in a stock market security. Because the investor must wait for good "buy" opportunity, the actual time of purchase is random. The investor usu- ally keeps the securities for about 3 years on the average but will sell at random times when a good "sell" opportunity presents itself. Although the investor is generally recognized as a shrewd stock market player, past experience indicates that about 25% of the securities decline at about 20% a year. The remaining 75% appreciate at the rate of about 12% a year. Estimate the inves- tor's (long-run) average equity in the stock market. Hint: use the average number of securities in the market.Suppose that the following binary dependent models. The model is based on the driving test of the 400 randomly selected driver’s license applicants. Y=1 if passed the test, or 0 otherwise, and X1 is years of experiences, X2 is the years of educations. Logit: P(Y=1/X) = F(0.563+ 0.040X1+ 0.057X2) What are the probabilities of passing the test for a person with 10 years of experiences and 10 years of educations in each model?9 Use the filtering model to determine the number of high quality (H) and low quality (L) homes at time t. Assume that there are a total of 2,000 homes in the community in time (t-1), of which 40% are high quality and the rest are low quality, the filtering rate is 0.03, and the retirement rate is 0.02