**Non-Extensive Entropy Econometrics for Low Frequency Series**

by Second Bwanakare

**Publisher**: De Gruyter Open 2017**ISBN-13**: 9783110550443**Number of pages**: 218

**Description**:

Non-extensive Entropy Econometrics for Low Frequency Series provides a new and robust power-law-based, non-extensive entropy econometrics approach to the economic modelling of ill-behaved inverse problems. Particular attention is paid to national account-based general equilibrium models known for their relative complexity.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Statistical Tools for Economists**

by

**Daniel McFadden**-

**University of California, Berkeley**

The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.

(

**17029**views)

**Efficient Estimation With A Priori Information**

by

**Thomas J. Rothenberg**-

**Yale University Press**

This book presents an attempt at unifying certain aspects of econometric theory by embedding them in a more general statistical framework. The unifying feature is the use of a priori information and the basic tool is the Cramer-Rao inequality.

(

**6709**views)

**Computable General Equilibrium Modeling for Regional Analysis**

by

**Eliecer E. Vargas, et al.**-

**Regional Research Institute, WVU**

CGE framework encompasses both the I-O and SAM frameworks by making demand and supply of commodities and factors dependent on prices. A CGE model simulates the working of a market economy in which prices and quantities adjust to clear all markets.

(

**5198**views)

**Econometrics**

by

**Thomas Andren**-

**BookBoon**

This book covers the most basic concepts in econometrics. Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained.

(

**11406**views)