Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Marginal Odds Ratios : What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them. / Karlson, Kristian Bernt; Jann, Ben.

In: Sociological Science, Vol. 10, 2023, p. 332-347.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Karlson, KB & Jann, B 2023, 'Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them', Sociological Science, vol. 10, pp. 332-347. https://doi.org/10.15195/v10.a10

APA

Karlson, K. B., & Jann, B. (2023). Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them. Sociological Science, 10, 332-347. https://doi.org/10.15195/v10.a10

Vancouver

Karlson KB, Jann B. Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them. Sociological Science. 2023;10:332-347. https://doi.org/10.15195/v10.a10

Author

Karlson, Kristian Bernt ; Jann, Ben. / Marginal Odds Ratios : What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them. In: Sociological Science. 2023 ; Vol. 10. pp. 332-347.

Bibtex

@article{6bcdbe27ad6a4fae909eb84218cb55cc,
title = "Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them",
abstract = "As sociologists are increasingly turning away from using odds ratios, reporting average marginal effects is becoming more popular. We aim to restore the use of odds ratios in sociological research by introducing marginal odds ratios. Unlike conventional odds ratios, marginal odds ratios are not affected by omitted covariates in arbitrary ways. Marginal odds ratios thus behave like average marginal effects but retain the relative effect interpretation of the odds ratio. We argue that marginal odds ratios are well suited for much sociological inquiry and should be reported as a complement to the reporting of average marginal effects. We define marginal odds ratios in terms of potential outcomes, show their close relationship to average marginal effects, and discuss their potential advantages over conventional odds ratios. We also briefly discuss how to estimate marginal odds ratios and present examples comparing marginal odds ratios to conventional odds ratios and average marginal effects.",
keywords = "Faculty of Social Sciences, odds ratio, logit, regression, marginal effects, confounding, mediation",
author = "Karlson, {Kristian Bernt} and Ben Jann",
year = "2023",
doi = "10.15195/v10.a10",
language = "English",
volume = "10",
pages = "332--347",
journal = "Sociological Science",
issn = "2330-6696",
publisher = "Sociological Science",

}

RIS

TY - JOUR

T1 - Marginal Odds Ratios

T2 - What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them

AU - Karlson, Kristian Bernt

AU - Jann, Ben

PY - 2023

Y1 - 2023

N2 - As sociologists are increasingly turning away from using odds ratios, reporting average marginal effects is becoming more popular. We aim to restore the use of odds ratios in sociological research by introducing marginal odds ratios. Unlike conventional odds ratios, marginal odds ratios are not affected by omitted covariates in arbitrary ways. Marginal odds ratios thus behave like average marginal effects but retain the relative effect interpretation of the odds ratio. We argue that marginal odds ratios are well suited for much sociological inquiry and should be reported as a complement to the reporting of average marginal effects. We define marginal odds ratios in terms of potential outcomes, show their close relationship to average marginal effects, and discuss their potential advantages over conventional odds ratios. We also briefly discuss how to estimate marginal odds ratios and present examples comparing marginal odds ratios to conventional odds ratios and average marginal effects.

AB - As sociologists are increasingly turning away from using odds ratios, reporting average marginal effects is becoming more popular. We aim to restore the use of odds ratios in sociological research by introducing marginal odds ratios. Unlike conventional odds ratios, marginal odds ratios are not affected by omitted covariates in arbitrary ways. Marginal odds ratios thus behave like average marginal effects but retain the relative effect interpretation of the odds ratio. We argue that marginal odds ratios are well suited for much sociological inquiry and should be reported as a complement to the reporting of average marginal effects. We define marginal odds ratios in terms of potential outcomes, show their close relationship to average marginal effects, and discuss their potential advantages over conventional odds ratios. We also briefly discuss how to estimate marginal odds ratios and present examples comparing marginal odds ratios to conventional odds ratios and average marginal effects.

KW - Faculty of Social Sciences

KW - odds ratio

KW - logit

KW - regression

KW - marginal effects

KW - confounding

KW - mediation

U2 - 10.15195/v10.a10

DO - 10.15195/v10.a10

M3 - Journal article

VL - 10

SP - 332

EP - 347

JO - Sociological Science

JF - Sociological Science

SN - 2330-6696

ER -

ID: 336895272