Estimating Parametric Fertility Models with Open Birth Interval Data

Estimating parametric fertility models with open birth interval data.

This paper demonstrates the approach of extending "date of last birth" (DLB) techniques to parametric models. Estimators for Coale-Trussell M and m parameters are constructed from open interval lengths. A new procedure was applied to Brazilian census data, producing maps and spatial statistics for "births last year" (BLY) and DLB m estimates in 723 municipalities in Minas Gerais. DLB estimat...

New DEA/Location Models with Interval Data

Recently the concept of facility efficiency, which defined by data envelopment analysis (DEA), introduced as a location modeling objective, that provides facilities location’s effect on their performance in serving demands. By combining the DEA models with the location problem, two types of “efficiencies” are optimized: spatial efficiency which measured by finding the least cost location and al...

Human Fertility Behavior Through Birth Interval Models: Overview

Fertility is one of the responsible factors for the growth of human population. The demographers have given priority to understanding of the determinants of fertility through statistical techniques. Analytical models are suitable and appropriate tools and are widely used for better understanding of the phenomenon of the human fertility behavior. In other words, these models are useful in descri...

new dea/location models with interval data

recently the concept of facility efficiency, which defined by data envelopment analysis (dea), introduced as a location modeling objective, that provides facilities location’s effect on their performance in serving demands. by combining the dea models with the location problem, two types of “efficiencies” are optimized: spatial efficiency which measured by finding the least cost location and al...

Target setting in additive models with preferences and interval data