Simulation and the Asymptotics of Optimization Estimators
By Ariel Pakes, D. Pollard. 1989
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Citations in the corpus
- Counterfactual Prediction with Deep Instrumental Variables Networks (2016, neutral): “…a number of applications in economics and elsewhere that approach such loss functions through direct minimization of a monte carlo approximation to the true objective function (e.g., simulated maximum likelihood (SML) and simulated method of moments (SMM) [McFadden, 1989, Pakes and Pollard, 1989]).”
- Efficient Policy Learning (2017, background): “As argued in Pakes and Pollard (1989), the class Πn has a finite VC dimension if and only if there is a constant κn for which log (NH(ε, Πn)) ≤ κn log ( ε−1 ) for all 0 < ε < 1 2 .”
- GENERALIZED EMPIRICAL LIKELIHOOD ESTIMATORS AND TESTS UNDER PARTIAL, WEAK, AND STRONG IDENTIFICATION (2003, background): “Hansen, Heaton and Yaron (1996) and Pakes and Pollard (1989) define the (GMM) CUE using the centered weighting matrix ( Pn i=1(gi(θ)−bg(θ))(gi(θ)−bg(θ)) 0 /n)−1.”
- NONPARAMETRIC ESTIMATION OF A GENERALIZED ADDITIVE MODEL WITH AN UNKNOWN LINK FUNCTION (2001, background): “Define a Euclidean class of functions as in Pakes and Pollard (1989).”
- Uniformly Semiparametric Efficient Estimation of Treatment Effects With a Continuous Treatment (2015, background): “Pakes and Pollard (1989) and Chen, Linton, and Van Keilegom (2003) had similar assumptions.”
- Time-varying risk aversion and unexpected inflation ☆ (2003, unknown): “…we construct the simulated pricing kernel: #Mst;tþni ðYÞ ¼ d ni expfað#gtþni gt ð #gtþ1 þ?þ #gtþni ÞÞ ð #ptþ1 þ?þ #ptþni Þg: ð25Þ SLS estimation, based on the ideas of McFadden (1989) and Pakes and Pollard (1989), is by now standard in economics and finance (see Gourieroux and Monfort, 1996).”
- Estimating Macroeconomic Models: A Likelihood Approach (2007, unknown): “As pointed out by McFadden (1989) and Pakes and Pollard (1989), this is required to achieve stochastic equicontinuity.”
- Explaining Adoption and Use of Payment Instruments by U.S. Consumers (2016, unknown): “We further adjust the standard errors upwards to account for simulation error, as in Pakes and Pollard (1989).”