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Problem 1: a. Explain the meaning of regression and its usefulness. b. Distinguish between GARCH (1, 1) and asymmetric GARCH. c. Clearly explain the two tests used for
I am beginning my thesis and I need some advice. I am trying to estimate a probit model. The binary dependent variable is employment status and the independent variables include:
if there is multicollinearity so why we can not estimate the value of parameters?
reasons of lags
what is collinearity?
(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
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) 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)
Derive marginal benefit of reducing principal balances
My question is that when we use Impulse response function and how to use it. Is it used along with some other methodology. What is the meaning of graphs of IRF?
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