Inference Using Simulated Neural Moments
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- Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
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Cited by:
- Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
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More about this item
Keywords
neural networks; Laplace type estimators; simulation-based estimation;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-06-15 (Big Data)
- NEP-CMP-2020-06-15 (Computational Economics)
- NEP-ECM-2020-06-15 (Econometrics)
- NEP-ORE-2020-06-15 (Operations Research)
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