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Semi-nonparametric distribution-free dichotomous choice contingent valuation

Creel, Michael D.; Loomis, John B. - 1994

Persistent link: https://www.econbiz.de/10000901941

Semi-nonparametric distribution-free dichotomous choice contingent valuation

Creel, Michael D. - In: Journal of environmental economics and management : … 32 (1997) 3, pp. 341-358

Persistent link: https://www.econbiz.de/10001216277

Theoretical and empirical advantages of truncated count data estimators for analysis of deer hunting in California

Creel, Michael D. - In: American journal of agricultural economics 72 (1990) 2, pp. 434-441

Persistent link: https://www.econbiz.de/10001085536

Comparing models for contingent valuation surveys : statistical efficiency and the precision of benefit estimates

Park, Timothy A. - In: Northeastern journal of agriculture and resource … 21 (1992) 2, pp. 170-176

Persistent link: https://www.econbiz.de/10001153991

A semi-nonparametric distribution-free estimator for binary discrete responses

Creel, Michael D. - 1994

Persistent link: https://www.econbiz.de/10000899897

Semi-nonparametric distribution-free estimator of the probability of employment

Creel, Michael D. - 1994

Persistent link: https://www.econbiz.de/10000900516

Welfare estimation using the fourier form : simulation evidence for the recreation demand case

Creel, Michael D. - In: The review of economics and statistics 79 (1997) 1, pp. 88-94

Persistent link: https://www.econbiz.de/10001215960

Modified Hausman tests for inefficient estimators

Creel, Michael D. - In: Applied economics 36 (2004) 21, pp. 2373-2376

Persistent link: https://www.econbiz.de/10002460777

Neural nets for indirect inference

Creel, Michael D. - 2016

Persistent link: https://www.econbiz.de/10011607329

Inference using simulated neural moments

Creel, Michael D. - In: Econometrics : open access journal 9 (2021) 4, pp. 1-15

This paper studies method of simulated moments (MSM) estimators that are implemented using Bayesian methods, specifically Markov chain Monte Carlo (MCMC). Motivation and theory for the methods is provided by Chernozhukov and Hong (2003). The paper shows, experimentally, that confidence intervals...

Persistent link: https://www.econbiz.de/10012642418