**True or False? Justify your answers.**1. **SIC is an adequate model selection criteria to select between quadratic and log linear \((\log(y)_t = \beta_1 + \beta_2TIME_t + \epsilon_t)\) trends.**---*Explanation:*This exercise asks whether the Schwarz Information Criterion (SIC) is appropriate for choosing between two types of trends: quadratic and log linear. The mathematical expression \((\log(y)_t = \beta_1 + \beta_2TIME_t + \epsilon_t)\) represents a model where the natural logarithm of the dependent variable \(y\) is a linear function of time \(t\) with parameters \(\beta_1\), \(\beta_2\), and an error term \(\epsilon_t\).

Answered: True or False ? Justify your answers. 1…

True or False ? Justify your answers. 1 SIC is an adequate model selection criteria to select between quadratic and log linear (log(y)t B1 + B2TIME +€t) trends.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

**True or False? Justify your answers.**

1. **SIC is an adequate model selection criteria to select between quadratic and log linear \((\log(y)_t = \beta_1 + \beta_2TIME_t + \epsilon_t)\) trends.**

---

*Explanation:*

This exercise asks whether the Schwarz Information Criterion (SIC) is appropriate for choosing between two types of trends: quadratic and log linear. The mathematical expression \((\log(y)_t = \beta_1 + \beta_2TIME_t + \epsilon_t)\) represents a model where the natural logarithm of the dependent variable \(y\) is a linear function of time \(t\) with parameters \(\beta_1\), \(\beta_2\), and an error term \(\epsilon_t\).

Expert Solution

Step 1

From the given information,

SIC is the schwarz information criterion which is used to compare models or selection of model that best fit data among the finite set of the models that is model with lower SIC are generally selected.

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