View source: R/rpm.model.matrix.R
rpm.model.matrix | R Documentation |
rpm.model.matrix
assumes a bipartite network (i.e. two-sided matching market)
It creates a model matrix according to the formula passed in.
See rpm-terms
for a description of the possible terms.
rpm.model.matrix(model.terms, Xall, Zall, intercept = TRUE)
model.terms |
For the details on the possible |
Xall |
the unique types of women |
Zall |
the unique types of men |
intercept |
logical; If TRUE, the default, an intercept term is prepended. |
A list consists of the following elements:
X |
the model matrix for women. |
Z |
the model matrix for men. |
Xnames |
the names of the covariates for women. |
Znames |
the names of the covariates for men. |
Goyal, Shuchi; Handcock, Mark S.; Jackson, Heide M.; Rendall, Michael S. and Yeung, Fiona C. (2023). A Practical Revealed Preference Model for Separating Preferences and Availability Effects in Marriage Formation, Journal of the Royal Statistical Society, A. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/jrsssa/qnad031")}
Dagsvik, John K. (2000) Aggregation in Matching Markets International Economic Review,, Vol. 41, 27-57. JSTOR: https://www.jstor.org/stable/2648822, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/1468-2354.00054")}
Menzel, Konrad (2015). Large Matching Markets as Two-Sided Demand Systems Econometrica, Vol. 83, No. 3 (May, 2015), 897-941. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3982/ECTA12299")}
rpm
# nothing yet
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