Using the Margins Command to Estimate and Interpret Adjusted Predictions and Marginal Effects
Explore this paper's citation graph
Summary
This article explains what adjusted predictions and marginal effects are, and how they can contribute to the interpretation of results, and shows how the marginsplot command provides a graphical and often much easier means for presenting and understanding the results from margins.
- Type
- article
- Published
- 2012-06-01
- Cited by
- 1,955
- References
- 4
- Access
- Open access
- OpenAlex
- https://openalex.org/W1547683213
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54728443
Keywords
Categorical variable, Computer science, Margin (machine learning), Variable (mathematics), Sign (mathematics)
References
Cited by
- Late Life Employment Histories and Their Association With Work and Family Formation During Adulthood: A Sequence Analysis Based on ELSA
- Age Differences in Daily and Nondaily Cannabis Use in the United States, 2002-2014.
- Cancer diagnoses among lesbian, gay, and bisexual adults: results from the 2013–2016 National Health Interview Survey
- Seatbelt wearing rate in a Chinese city: Results from multi-round cross-sectional studies.
- Trends in Childlessness Among Highly Educated Men in Sweden
- The relationship between organizational culture and adherence to regulatory requirements for online programs
- The Impact of Untreated Obstructive Sleep Apnea on Cardiopulmonary Complications in General and Vascular Surgery: A Cohort Study.
- Predictive Margins and Marginal Effects in Stata
- Which people use which scientific papers? An evaluation of data from F1000 and Mendeley
- Which kind of papers has higher or lower altmetric counts? A study using article-level metrics from PLOS and F1000Prime
- Remittances and the Economic Crisis: Evidence from the Greenback 2.0 Survey in Italy
- Composition of inventor teams and technological progress – The role of collaboration between academia and industry
- Human capital differences or labor market discrimination? The occupational outcomes of ethnic minorities in rural Guizhou (China)
- Which firms use trademarks - and why? Representative firm-level evidence from Germany
- Three essays in household finance
- Entrepreneurial Action and Entrepreneurial Rents
- Techniques for Asking Sensitive Questions in Labour Market Surveys
- Arbitraging the Basel Securitization Framework: Evidence from German ABS Investment
- An investigation into the credibility of currency board arrangements in Bosnia and Herzegovina and Bulgaria
- Black-White Differences in Severe Maternal Morbidity and Site of Care
Related papers
- Selection tests for possibly misspecified hierarchical multinomial marginal models
- GEECAT and GEEGOR: computer programs for the analysis of correlated categorical response data.
- Visualising and modelling changes in categorical variables in longitudinal studies
- A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes
- Factorial Mixture of Gaussians and the Marginal Independence Model
- Modeling Joint and Marginal Distributions in the Analysis of Categorical Panel Data