Details about Kristian Bernt Karlson
Access statistics for papers by Kristian Bernt Karlson.
Last updated 2023-01-07. Update your information in the RePEc Author Service.
Short-id: pka471
Jump to Journal Articles Software Items
Working Papers
2023
- Estimation of marginal odds ratios
University of Bern Social Sciences Working Papers, University of Bern, Department of Social Sciences View citations (1)
- Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them
University of Bern Social Sciences Working Papers, University of Bern, Department of Social Sciences
2022
- Marginal odds ratios: What they are, how to compute them, and why applied researchers might want to use them
Swiss Stata Conference 2022, Stata Users Group
2011
- Correlation metric
German Stata Users' Group Meetings 2011, Stata Users Group
Journal Articles
2015
- Comparing linear probability model coefficients across groups
Quality & Quantity: International Journal of Methodology, 2015, 49, (5), 1823-1834 View citations (3)
2014
- Correlations and Nonlinear Probability Models
Sociological Methods & Research, 2014, 43, (4), 571-605 View citations (12)
2013
- Total, Direct, and Indirect Effects in Logit and Probit Models
Sociological Methods & Research, 2013, 42, (2), 164-191 View citations (91)
2011
- Comparing coefficients of nested nonlinear probability models
Stata Journal, 2011, 11, (3), 420-438 View citations (127)
Software Items
2024
- KHB: Stata module to decompose total effects into direct and indirect via KHB-method
Statistical Software Components, Boston College Department of Economics View citations (2)
2011
- NLCORR: Stata module to compute correlation metric for cross-sample comparisons using non-linear probability models
Statistical Software Components, Boston College Department of Economics
|
The links between different versions of a paper are constructed automatically by matching on the titles.
Please contact econpapers@oru.se if a link is incorrect.
Use this form
to add links between versions where the titles do not match.
|