You are interested in the effect of a new smoking restriction implemented by restaurants. That is, the effect of restaurants implementing a no-smoke zone within 15 feet of their premises on the number of packs of cigarettes smoked per day. You first run the following regression: cigs Bo B₁educ + B₂income+ + Brage²+ Barestaurn + Bln(cigprice) + u
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- 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?A large policy debate revolves about the causes and consequences of child labour. Extensive child labour at early ages is often considered as harmful and there is substantial theoretical and empirical interest in determining the causes for child labour. Therefore, we would like to analyze the relationship between wealth (e.g. the number of cattle or other assets) and child labour, using household data collected in several villages in rural Africa. Suppose we have data on Y and X iv where Y, is the number of hours worked by child i in village v and X, is family wealth. a) Explain how this is related to the concept of Panel Data. b) Explain how you could estimate the relationship between wealth and child labour using pooled OLS, Random Effect (RE), Fixed Effect (FE) estimators. Write down the estimation equations and the conditions needed to guarantee consistency. Compare the FE and the OLS estimators: Is either of these two estimators based on weaker assumptions than the other? c)…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?
- Celebrity endorsement has become a popular choice in advertising due to the its originality and the celebrity’s attractiveness that make a big impact on brand awareness and customer behavior. This study analyzes the effect of celebrity endorsement on customer’s attitude toward brand as well as the effect of customer’s attitude toward brand on customer’s purchase intention in Vietnam. A survey was conducted with 306 individuals in Vietnam. After conducting the explanatory factor analysis (EFA), and multi-variable regression analysis, results indicate that customer’s attitude toward brand is positively affected by 03 factors: celebrity match-up congruence with the brand/product, celebrity trustworthiness, and celebrity expertise. Attitude toward brand also has a positive impact on customer’s purchase intention. Based on the scenario presented, answer the following questions: A) Find out Independent, Dependent, Moderating, and Mediating Variables and elaborate…Describe the “overall” regression F-statistic & F-statistic when q=1?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.
- Explain Conditional Mean Independence by considering a regression with two regressors?A government study found that people who eat chocolate frequently weighless than people who don’t. Researchers questioned 1000 individuals fromCalifornia between the ages of 20 and 85 about their eating habits, andmeasured their weight and height. On average, participants ate chocolatetwice a week and had a body mass index (BMI) of 28. There was anobserved difference of five to seven pounds in weight between those whoate chocolate five times a week and those who did not eat any chocolate atall, with the chocolate eaters weighing less on average. Frequent chocolateeaters also consumed more calories, on average, than people who consumedless chocolate. Based on this summary, would you recommend thatAmerican’s who do not presently eat chocolate, consider eating chocolateup to five times a week if they want to lose weight? Why or why not?Explain.The following regression was run using a sample of 587 women living in Kenya. The variable goats is the number of goats the woman owns and grant is whether the woman received $ 500 in cash (in local currency equivalent) two years ago from the charity GiveDirectly, or not. The charity gives grants randomly to poor people in Kenya, of $ 500. goats = 6.42 +0.80 grant R2=0.35 1. What is the estimated coefficient for grant? What does it mean, in words? (Be specific, referring to numbers.) 2. Suppose one woman in the sample, Wangari, did not receive a grant. What is her predicted number of goats? Please do fast ASAP fast
- Following the increase in price of a 250g bag of coffee from £2.35 to £2.65 in a local supermarket, weekly sales of tea increase from 8.5 kg to 11.5 kg. From this we can conclude that:(Don't accept answers from Chat-GPT)You are estimating the following simple linear regression model: Edui = B0 + B1 MomEdu + ui. Where Edu is the years of schooling of an individual and MomEdu is the years of education of the individual's mother (Note: We might estimate this sort of regression to learn about intergenerational transmission of economic success.) a. Suppose you restrict your sample to individuals with MomEdui = 10 What happens to the OLS estimates? b. Suppose you have two random samples of size 100, both with the same In the first sample, half of the mothers have 12 yearsof education and half have 14 years of education. In the second sample, one quarter of of the mothers have each of 10, 12, 14. and 16 years of education. Does the variance of the OLS estimator differ between the two samples? Explain why or why not. C. Suppose you estimate the above regression using a random sample of 100 observations. Then you find another random sample of 100 with the same as the…In a study aimed at creating reference values, abdominal circumference (measured in cm) was measured in adult men. It was found that the relationship to age could be described as abdominal circumference = 82 + 0.3 x age a) What is the analysis that produces such a formula called? b) At what age is the average abdominal circumference 100 cm?