Non-Fiction Books:

Macro-econometric Analysis on Determinants of Fertility Behavior

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Paperback / softback
$179.00
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Description

The book comprises three chapters, with each chapter assigned various type data such as time series data, cross sectional data and panel data. The purpose of this book is to explore the economic and social determinant factors of fertility. Unlike many previous empirical analyses of fertility and the related demographic events, this research has three characteristics. The first is that the relationship between fertility and labor participation by females is thoroughly considered, with much discussion about the structural change between those factors. The second is that time series analysis such as the Bayesian vector autoregressive (BVAR) model or co-integration concepts is applied to explore the determinant factors of fertility. The third is that the effectiveness of public policies related to improve fertility is confirmed. In recent years, micro-econometric analysis has become popular; however, this book takes another approach from the perspective of macro- or semi-macro-econometrics.

Author Biography:

Hisakazu Kato, a Japanese national, is the professor of the School of Political Science and Economics, Meiji University since 2005. He graduated from Keio University in 1981 and completed graduate school of University of Tsukuba in 1988. He received Doctor in Economics from Chuo University in 2000. After he had served the Senior Researcher of Central Research Institute of Electric Power Industry and Senior Research Fellow of National Institute of Population and Social Security, he works at Meiji University.. His major concern of research fields are an analysis of demographic trends and finance of social security using econometric method.
Release date NZ
August 7th, 2021
Author
Audience
  • Professional & Vocational
Edition
1st ed. 2021
Illustrations
15 Illustrations, color; 2 Illustrations, black and white; XI, 76 p. 17 illus., 15 illus. in color.
Pages
76
ISBN-13
9789811639265
Product ID
35124823

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