Obtain a time-series of minimum of 35 observations, for three variables of your own choice of country from world development indicators (WDI) data source. However, the choice of variables should be guided by an economic model from Macroeconomics. These variables should be representing an economic model where one variable (Y) is deemed to be dependent on the others (Xs are independent variables). Provide full sources and definitions for those series

Obtain a time-series of minimum of 35 observations, for three variables of your own choice of country from world development indicators (WDI) data source. However, the choice of variables should be guided by an economic model from Macroeconomics. These variables should be representing an economic model where one variable (Y) is deemed to be dependent on the others (Xs are independent variables). Provide full sources and definitions for those series

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 1E

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The Australian Government has developed a survey to enable it to gauge the views of the Australian public regarding "Climate Change". The survey consists of a sample of 400 Australian Citizens and Permanent Residents regarding their views on a wide range of Climate Change topics. The Government intends to use the results of the survey to assist in the formulation of government policy for the next 30 years. The variables used in the dataset are as follows: Variable Name Explanation Options Cars Number of motor vehicles in your household Income Your income in Dollars ($) Support Belief that Australia should financially support developing countries in their efforts to address Climate Change (Yes, No) Cause Who/what you think is most responsible for Climate Change (Mostly Human, Mostly Natural, There is no Climate Change, Unsure/Undecided} Solar_Panels Willingness to Install Solar Panels For each of the scenarios outlined below, describe a type of Visualisation (i.e. a Chart/Table/Graph)…
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Data is collected from a sample of 1,000 US households in an attempt to understand the relationship between income and money spent eating out at restaurants. A regression is estimated based on the data, and the equation is as follows: Spending; 10.12 + 0.25 * Income; + 756.48 * City: 122.96 * Children where restaurant spending and income are yearly values measure in $, city is a binary variable that takes on a 1 if the household lives in a city, and children is the number of children in the family. What is the predicted restaurant spending for a household with a yearly income of $50,000, not located in a city, and with 3 children? $12,387.16 $12,141.24 $12,131.12 $12,897.72
In terms of econometric perspective, what are the assumptions or elements that you need to consider in developing the model for estimation.
True or False For a linear regression model including only an intercept, the OLS estimator of that intercept is equal to the sample mean of the independent variable.
A 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…