This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building.
Reproduction of the original. The publishing house Megali specialises in reproducing historical works in large print to make reading easier for people with impaired vision.
Reproduction of the original. The publishing house Megali specialises in reproducing historical works in large print to make reading easier for people with impaired vision.
Gender discrimination has far reaching consequence on society. With contributions by experts from diverse fields, this volume provides fresh perspectives on gender bias, wage inequality, and intra-household discrimination. It also analyses various aspects of discrimination in the spheres of health, nutrition, and work. Using case studies from India and other South Asian countries, it provides alternative methods for measuring gender differentials and discrimination.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.