Interpreting And Comparing Effects In Logistic Probit And Logit Regression at Meripustak

Interpreting And Comparing Effects In Logistic Probit And Logit Regression

Books from same Author: Hagenaars

Books from same Publisher: Sage Publishing

Related Category: Author List / Publisher List


  • Retail Price: ₹ 3721/- [ 11.00% off ]

    Seller Price: ₹ 3312

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 11.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 11.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Hagenaars
    PublisherSage Publishing
    Edition1st Edition
    ISBN9781544364018
    Pages208
    BindingSoftcover
    LanguageEnglish
    Publish YearJune 2024

    Description

    Sage Publishing Interpreting And Comparing Effects In Logistic Probit And Logit Regression by Hagenaars

    Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website.