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We propose a conformant likelihood estimator with exogeneity restrictions (CLEER) for random coefficients discrete choice demand models that is applicable in a broad range of data settings. It combines the likelihoods of two mixed logit estimators--one for consumer level data, and one for...
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-based data. By utilizing the aggregates observable in a series of Input-Output Tables (IOT's) and by applying an estimation …
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markup estimation recovers the markup wedge using the output elasticity for a variable and undistorted input. We show that …
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