Performs a BLP Demand Estimation


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Documentation for package ‘BLPestimatoR’ version 0.3.2

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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.