Performs a BLP Demand Estimation

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Documentation for package ‘BLPestimatoR’ version 0.3.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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BLP_data	Prepares data and parameters related to the BLP algorithm for estimation.
demographicData_cereal	Draws for observed heterogeneity in Nevo's cereal example.
dstddelta_wrap	Calculates derivatives of all shares with respect to all mean utilities in a given market.
dstdtheta_wrap	Calculates derivatives of all shares with respect to all non-linear parameters in a given market.
dummies_cars	Ownership matrix in BLP's car example.
estimateBLP	Performs a BLP demand estimation.
getDelta_wrap	Performs a contration mapping for a given set of non-linear parameters.
getJacobian_wrap	Calculating the Jacobian for a given set of non-linear parameters and mean utilities.
getShareInfo	Calculates information related to predicted shares for a given set of non-linear parameters and data.
get_elasticities	Calculates elasticities for a given variable and market.
gmm_obj_wrap	Calculating the GMM objective for a given set of non-linear parameters.
originalDraws_cereal	Draws for unobserved heterogeneity in Nevo's cereal example.
productData_cars	Product data of BLP's car example.
productData_cereal	Product data of Nevo's cereal example.
simulate_BLP_dataset	This function creates a simulated BLP dataset.
theta_guesses_cereal	Parameter starting guesses for Nevo's cereal example.
update_BLP_data	Updates the set of linear, exogenous, random coefficient, share or mean utility variable in the data object.
w_guesses_cereal	Mean utility starting guesses for Nevo's cereal example.