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- GNP: PLUSES AND MINUSES The gross national product in recent years has basked in the warm glow of nearly universal praise. Econo mists, quite naturally, have been freest with the encomiums. Where else but the GNP could they get in one tidy number a measure of the growth in the mammoth U.S. economy. Businessmen, though not entirely persuaded of the value of statistics, especially esoteric statistics, nevertheless have been known to quote the GNP—possibly because of its powers to impress audiences with the speaker's grasp of the "big picture." Politicians, too, have been extravagant in their admiration of GNP, most especially when it was rising at a brisk pace. Even the ubiquitous cocktail party has paid homage to the GNP as assorted junior executives, research assistants, housewives, and dancing instructors have pronounced on the latest GNP numbers with a solemn and knowing air. Now all that seems to be changing. GNP increasingly is coming under attack. Dr. Arthur F.…We are studying the factors that contribute to unemployment at an individual level. UE, unemployment, is our dependent variable and it is a binary variable that takes the value 1 if an individual is unemployed and 0 if they are employed. We have a random sample and we estimate the following model: UE^= 0.508−0.051educ−0.023urban+0.005age(0.122) (0.012) (0.005) (0.002)n=6214, R2=0.474 where educ = an individual’s years of education urban = a dummy equal to 1 if the individual lives in an urban area and 0 otherwise age = an individual’s age in years What is the correct interpretation of the estimated coefficient on education?Using demand and supply analysis to discuss the recent price increases in the Singapore resale HDB and private property market. Are the price increases concentrated in certain locations or are they broad base changes?Use the straits times news and real statistic to discuss instead of using chatgpt to give unsupportive answer.All discussions must support by one most recent example.
- Describe the “overall” regression F-statistic & F-statistic when q=1?Y=16.8-3.9x (3.8) (1.2) The numbers 16.8 and -3.9 are the realized values for the intercept and slope (respectively) of the regression equation describing the sample, which are consistent estimators for what population parameters? The intercept and slope (respectively) of the sample determining function. The intercept and slope (respectively) of the regression equation that best fits the population. Instructions: Enter your responses rounded to three decimal places. If you are entering any negative numbers be sure to include a negative sign (-) in front of those numbers: provide a 99% confidence interval for each estimator's corresponding population parameter Intercept (----------) (----------) Slope (---------) (-------------)How should be the following given be treated while estimating national income (1) bonus paid to employees
- Suppose you examined blood of 36 patients with the aim to study the relation between sugar level in blood (in mg/dL) and the amount of artificial sweetener (measured in grams). Your regression shows: blood=7.1 + 0.4*sweatener - 0.2*female. What is the most precide interpretation of the estimated coefficient for sweetener?MP believe that there is a causal relationship between earnings and years of schooling. They show you an estimate of the impact of years of schooling on annual earnings: There are two groups of individuals – group 1 and group 2. Group 1 on average earns £60,000 per year with the average level of post-compulsory education of 6 years, while group 2 earns on average £40,000 with the average post-compulsory education of 4 years. The MPs conclude that the annual return to an additional year of education is 25% using the following equation [(£60,000-£40,000)/40,000]/(6-4)=25%. Ignoring time preferences and discounting, and if both groups face the same cost of schooling, you need to explain to the MPs why this is not a good estimate of the annual return to an additional year of education. Propose methods to the MPs to deal with the problemSome MPs believe that there is a causal relationship between earnings and years of schooling. They show you an estimate of the impact of years of schooling on annual earnings: There are two groups of individuals – group 1 and group 2. Group 1 on average earns £60,000 per year with the average level of post-compulsory education of 6 years, while group 2 earns on average £40,000 with the average post-compulsory education of 4 years. The MPs conclude that the annual return to an additional year of education is 25% using the following equation [(£60,000-£40,000)/40,000]/(6-4)=25%. Ignoring time preferences and discounting, and if both groups face the same cost of schooling, you need to explain to the MPs why this is not a good estimate of the annual return to an additional year of education. Propose methods to the MPs to deal with the problem. (300 words)
- Exports of goods and services 1,872 Imports of goods and services 2,375 Net unilateral transfers -99 Net Investment Income 170 Capital Account -7 Net US acquisition of financial assets 958 Net US incurrence of liabilities 1,391 Net financial derivatives -14 Based on table above, the statistical discrepancy is Group of answer choices 15 8 0. -8 -15Explain Conditional Mean Independence by considering a regression with two regressors?(1) Omitted variable bias A. will always be present as long asthe regression R2 < 1 B. is suspected to exist when the estimated coefficient i different from the true population parameter. C. is suspeted to exits if the estimated coeffcient on the included independent variable changes by more than one standard error when including the omitted variable into the regression D. is suspected to exist the omitted variable is no the True population model But is coroleted with any of the included independent variables.