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- If in the study results obtained a demand and supply model for ties and suits: Demand for tie: Qdt = 410 – 5Pt – 2Ps Supply of tie: Qst = – 60 + 3Pt Demand for suit: Qds= 295 – Pt – 3Ps Supply of suit: Qss=–120 + 2Ps Based on the estimation results, then: a. Determine the general equilibrium price of a tie and suit b. What is the type of relationship between a tie and a suit? Explain your argumentThe estimated regression models having a different number of explanatory variables are compared on the basis of _____. Select one: a. Chi squared -statistic b. Adjusted R squared-statistic c. R squared-statistic d. None of the aboveNone
- What is the model constant when the dummy variable equals 1 in the following equations, where x1 is a continuous variable and x2 is a dummy variable with a value of 0 or 1? a. Ŷ = 4 + 8x1 + 3x2 b. Ŷ = 7 + 6x1 + 5x2 c. Ŷ = 4 + 8x1 + 3x2 + 4x1x2A researcher wants to assess the impact of school location on CSEC performances in Guyana. Suppose she categorises schools by Administrative Regions, how many dummy variables must be present in the model specification? The first difference of the logarithmic transformation is equivalent to a.The elasticity models b.The difference between a variable and its lag c.The growth rate of the series d.The autoregressive modelA researcher has a sample of 6 annual observations {94, 104, 102, 99, 111 and 107} for the CPI in country Z for the period 2015 to 2020, and wants to forecast CPI for the years 2021, 2022 and 2023. The researcher uses 3 different forecasting models: A, B and C. Model A is an AR(1) model with no drift and with an estimated autoregressive coefficient = 0.7. Model B is a MA(1) model with no constant and with an estimated MA coefficient = -0.4 (note the minus !). Model C is a random walk model with no drift. The error terms over the 2015-2020 period were estimated to have the values: {3, -1, 2, 4, -3, 1}. a. Compute the 2021, 2022 and 2023 forecasted values for the consumer price index based on the three models. Show the formulas and the details of your calculations, and explain all the related symbols. b. Suppose that the actual values of the CPI over the 2021, 2022 and 2023 were {108, 114, 105}. Calculate the Root mean square error of the three model forecasts over the 2021-2023…
- Discuss the FIVE (5) importance of adding error term in the regression model.A5Hide student question Time Left : 01:58:26 Student question Analyze the model significance using the regression statistics: R-square, t-statistics, and use the standard error to determine the range within which demand for the product will fall with a 95% confidence interval. Calculate and interpret the following elasticities: Own price, cross price, income, and advertising and explain what these results suggest about the effects of changes in each of these variables on the demand for Maa mustard oil? Based on the elasticities you have estimated in question 8, what will be the impact of a price increase by the company on the total revenue of Maa mustard oil (assuming other variables remain constant)? What is the revenue maximizing price for Maa oil if the competitors price does not increase in October 2015? Solve pls
- The following data from a random sample of individuals that are 25 years old. Note, wage is the hourly earnings in US dollars and educ is years of education. i 1 2 3 4 wage 12.18 12.18 20.09 7.39 educ 13 11 16 12 Consider the following model: In(wage)-Bo+B₁educ+u. Calculate the estimate of B₁. Round your answer to two decimal places.!The following model studies human welfare using the General Social Survey in the US: happy = 0.014 + 0.209regattend + 0.103occattend + 0.027income + 0.009educ +0.003 female where happy is a dummy variable equal to one if a person is happy, and 0 otherwise: regattend is a dummy variable equal to one if a person regularly attends church, and 0 otherwise: occattend is a dummy variable equal to one if a person occasionally attends church, and 0 otherwise; income is family income in tens of thousands: educ is years of schooling: female = 1 if female. = 0 otherwise Interpret the impact of religion on happiness.