What is event modeling?     Multiple Choice The event model adjusts data for each of the events identified to distort the trend and seasonal patterns of the time series. The event model adds a growth factor to the moving average as a way of adjusting for the event. The event model adds a smoothing constant for the events identified as important in the historical data. The event model initializes events so they can be selected to initialize or warm up the model.

T. Haavelmo devised a model of the US economy for the years 1929–1941 based on the followingequations:(i) c = 0.712y + 95.05 (ii) s = 0.158(c + x) − 34.30(iii) y = c + x − s (iv) x = 93.53Here x denotes total investment, y is disposable income, s is the total saving by firms, and c istotal consumption. Write the system of equations in the form (1) when the variables appear inthe order x, y, s, and c. Then find the solution of the system.

Which of the following is true about ARIMA models A. ARIMA models cannot be used for seasonal data B. ARIMA models are always better than other forecasting models C. ARIMA models include three parts, AR, MA, and I D. None of the above

Explain why in every econometric model there must be an error term, explain its function.

See Figure 2.2 and examine the model.  Unlike other circular flow models, this model is missing another sector/s. what is the missing sector?

Please ASAP. Thankyou. QUESTION 24 A quality adjusted life year is defined as?   A. Health adjusted life expectancy for men   B. A measure of disease burden including both quality and the quantity of life lived   C. Potential years of life lost for vulnerable populations   D. Health related quality of life for women   QUESTION The purpose of a model is to illustrate relations between economic variables.TrueFalse

Imagine you are trying to explain the effect of square footage on home sale prices in the United States. You collect a random sample of 100,000 homes that recently sold. a) Homes can be one of three types: single-family houses, townhomes, or condos. How would you control for a home’s type in a regression model? b) Write down a regression model that includes controls for home type, square footage, and number of bedrooms. c) How would you interpret the es3mated coefficients for each of the variables from part b? Be specific.

Suppose researchers use observational data to study the effect of class size and teacher experience on student score. Which of the following is a confounding variable? Student score 0000 Family income Class size Teacher experience

The accompanying table shows the average annual wage for a country, in thousands of dollars, for selected years from 1970 and projected to 2040. a. Find an exponential function that models these data, with x equal to the number of years after 1970 and y equal to the average annual wage in thousands of dollars. b. Graph the model and the data on the same axes. c. What does the model predict that the average annual wage will be in 2030? Is this interpolation or extrapolation? d. When does the model predict that the average annual wage will reach $230,000? a. The equation of an exponential function that models the data is y=. (Use integers or decimals for any numbers in the expression. Round to three decimal places as needed.) b. Graph the model on the same axis as the data. Choose the correct graph below. All graphs are shown in a [0,70,10] by [0,250,50] viewing window. OA. OB. c. According to the model, the average annual wage in 2030 will be $ thousand. (Round to one decimal place as…

What is the impact of autocorrelation on the likelihood of rejecting the null hypothesis of no statistical significance of the model estimates? (a) It increases the likelihood of rejecting the null hypothesis. (b) It decreases the likelihood of rejecting the null hypothesis. (c) It has no effect on the likelihood of rejecting the null hypothesis. (d) It makes the estimates biased and increases the likelihood of rejecting the null hypothesis. (e) It makes the estimates unbiased and decreases the likelihood of rejecting the null hypothesis.