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Consider a Simple Linear Regression Model (SLRM) of the form y= a1+a2X+e where e ~ N(0,σ2)(Use the assumptions outlined in our class and available for review in the lecture notes posted on RamCT to answer the following questions)
(a) Identify the dependent variable in this model. Is it random? If so, how is it distributed (what is the mean and variance)? Is it observable or not?
(b) Identify the parameters of this model. Are they random? If so, how are they distributed (what is the mean and variance)? Is it observable or not?
(c) Identify the error term in this model. Is it random? If so, how is it distributed (what is the mean and variance)? Is it observable or not?
Discuss the descriptive statistics of total government expenditures and per capita government expenditures. Plot their histograms and comment.
Question: (a) Formulate a VAR with 4 lags and also rewrite it in matrix form, mentioning the limitations of such models. (b) What is the rationale behind introducing lag-dep
Problem: (a) Differentiate between linear and log-linear model. (b) Distinguish between type I and type II errors. (c) (i) A bulb manufacturer claims that its bulbs last
(a) Estimate how much more or less workers on average earn when they work for government as opposed to private sector, holding their characteristics constant. Interpret the finding
(a) Describe all tests that you need to undertake prior to working with time series data. (b) Consider the following regression result: Standard Errors: (6.7525)
what is law of denam?
demand for tea, Y, are assumed to be affected by income of students, X. A simple linear regres-sion analysis was performed on 20 observations and the results were: Independent vari
What is the expected value and variance of y = 3x+2 knowing that E(X) = 8 and var(X) = 4.
ear Sir/Madam, I need somebody to implement the followintg models and test: Plot the variables studied Test for a unit root of all my variables using the ADF (p) tests for the le
Problem 1: (a) Using examples explain the concept of cointegration. (b) Explain the term ‘stationarity' and its importance. (c) Differentiate between stochastic and determinist
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