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This package provides functionality to estimate, summarize, plot, predict, and export strategic selection estimates. It allows researchers to incorporate the strategic nature of the DGP while not constraining the errors to be orthogonal. By relaxing the assumptions, this estimator becomes a blend of an agent error model and a Heckman selection model.
● Data Source:
CranContrib
● Keywords: Strategic models
● Alias: StratSel-package
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logLikStrat
(Package: StratSel) :
Log-Likelihood Function of an Agent Error Model
This function calculates the log-likelihood value for an agent error model (belongs to the general class of quantal response models). The underlying formal structure is
● Data Source:
CranContrib
● Keywords: Log-Likelihood Function
● Alias: logLikStrat
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print
(Package: StratSel) :
Print Function for Objects of Class code{StratSel
Generic print function for objects of class StratSel.
● Data Source:
CranContrib
● Keywords:
● Alias: print.StratSel
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getSummary
(Package: StratSel) :
getSummary Method for extending mtable()
This function extends the mtable() to report strategic selection models (StratSel). Together with setStratSelDefault and the mtable command from the memisc package users can create multi-model tables and export them to LaTeX.
● Data Source:
CranContrib
● Keywords: LaTeX, Make tables
● Alias: getSummary.StratSel
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predict
(Package: StratSel) :
Prediction Function for Objects of the code{StratSel
Prediction function for objects of the StratSel class. Provides either predictions for all observations in a model or for a specified profile. In addition, the function will either predict an outcome or three probabilities (indicating the probability for each outcome).
● Data Source:
CranContrib
● Keywords: Prediction
● Alias: predict.StratSel
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vcov
(Package: StratSel) :
Functionto Extract Variance-Covariance from Objects of Class code{StratSel
Generic vcov function for objects of class StratSel.
● Data Source:
CranContrib
● Keywords:
● Alias: vcov.StratSel
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gen.Startval
(Package: StratSel) :
Generates good starting values for a strategic selection model
The function creates good starting values based on the supplied data and model which are to be estimated. To do so, the function runs two probit models, whereas the first one is just on the lower node of the game tree (see StratSel). It then creates predicted probabilities (p24) to estimate a second probit at the first node whereas the variables which are part of X14 are weighted by p24.
● Data Source:
CranContrib
● Keywords: Starting values
● Alias: gen.Startval
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StratSel
(Package: StratSel) :
Fitting Strategic Selection Models
This function estimates a strategic selection estimator. This function fits a strategic selection estimator which is based on an agent error model (belongs to the general class of quantal response models). The underlying formal structure is
● Data Source:
CranContrib
● Keywords: Strategic Selection Estimator
● Alias: StratSel
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plot
(Package: StratSel) :
Plots a StratSel Object
Plots predicted probabilities for all three possible outcomes based on an object of class StratSel.
● Data Source:
CranContrib
● Keywords: Illustration
● Alias: plot.StratSel
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logLik
(Package: StratSel) :
Function to Extract Log-Likelihood from Objects of Class code{StratSel
Generic logLik function for objects of class StratSel.
● Data Source:
CranContrib
● Keywords:
● Alias: logLik.StratSel
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