Description Usage Format Source References
This dataset contains estimates of the model in Berry, Levinsohn, and Pakes (1995), as implemented by Andrews, Gentzkow, and Shapiro (2017). It is used to illustrate the confidence intervals implemented in this package.
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A list, consisting 11 objects:
Matrix with 31 rows and 17 columns, estimate of derivative of the moment condition evaluated at initial estimate of θ from Berry, Levinsohn, and Pakes (1995), thetahat_init.
Vector of length 17, estimate of derivative of average markup h(theta) with respect to model parameters theta, evaluated at thetahat_init.
Weight matrix used to obtain the estimate thetahat_init, preliminary estimate of variance of moment conditions.
Average moment condition, evaluated at thetahat_init.
Estimate of the average markup, h(thetahat_init).
Two lists, one for names of the moment conditions, and one for elements of theta.
Gram matrix Z'Z of the instruments, used to specify the misspecification set \mathcal{C}.
Estimate of variance of moment condition.
Vector of standard deviations of the instruments.
scaling parameters to give interpretable meaning to violations
of supply-side conditions. See vignette vignette("GMMSensitivity")
for
details.
Sample size, number of car models.
See Armstrong and Kolesár (2020) for a detailed description of these objects.
Replication files for Andrews, Gentzkow, and Shapiro (2017), available at https://doi.org/10.7910/DVN/LLARSN
Andrews, I., M. Gentzkow, and J. M. Shapiro (2017): Measuring the Sensitivity of Parameter Estimates to Sample Statistics, Quarterly Journal of Economics, 132, 1553–1592.
Armstrong, T. B., and M. Kolesár (2020): Sensitivity Analysis Using Approximate Moment Condition Models, https://arxiv.org/abs/1808.07387
Berry, S. T., J. Levinsohn, and A. Pakes (1995): Automobile Prices in Market Equilibrium, Econometrica, 63, 841–890.
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