Using Behavioural Economics to Analyse and Enhance Contraception Usage Decisions

Title

Using Behavioural Economics to Analyse and Enhance Contraception Usage Decisions

Creator

Sarkar R.; George T.S.

Description

Existent literature helped narrow down variables influencing modern contraceptive adoption (usage), a behaviour carrying enormous positive externality. Using finite population sample size formula and probability proportional to size method of sample selection, primary data was collected from participants using inclusion and exclusion criterions. Binary logistic regression model was used to predict probability of occurrence of dependent variable usage of modern method of contraception being treated at a dichotomous outcome level. Predictor variables after confirming association by cross tabulation were introduced stepwise to build model subject to elimination of those variables adding insignificantly to the overall predictability of the model. Variables such as gender, education level, spousal influence, extended family influence, financial well-being and contraceptive information were found to significantly predict the probability of occurrence of the dependent variable. Except for financial well-being with three sub-categories, other independent variables were treated at dichotomous level. Income level was found to be an important predictor although found statistically insignificant. Non-contributory factors such as age, occupation and years of marriage were dropped. Post-model construction, borrowing nudges from behavioural economics (BE) domain, strategies to nurture the significant context specific influencing variables, were articulated. BE was particularly preferred for its openness to the paradigm of non-rational behavioural choices. 2022 SAGE Publications.

Source

Journal of Health Management, Vol-24, No. 4, pp. 691-704.

Date

2022-01-01

Publisher

Sage Publications India Pvt. Ltd

Subject

behavioural economics; contraceptive information; Contraceptive use; financial well-being; reproductive health; spousal influence

Coverage

Sarkar R., Department of Management and Commerce, PES University, EC Campus, Hosur Road, Karnataka, Bangalore, India; George T.S., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 9720634

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1177/09720634221128394

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