References

Abadie, A. and Imbens, G. W. (2008). On the Failure of the Bootstrap for Matching Estimators. Econometrica 76, 1537-1557, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.3982/ECTA6474.

Andrews, D. and Guggenberger, P. (2015). Identification-and singularity-robust inference for moment condition models.

Andrews, D. W. (2000). Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space. Econometrica 68, 399-405, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/1468-0262.00114.

Andrews, D. W. and Han, S. (2009). Invalidity of the bootstrap and the m out of n bootstrap for confidence interval endpoints defined by moment inequalities. The Econometrics Journal 12, S172-S199, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1368-423X.2008.00265.x.

Andrews, D. W. and Guggenberger, P. (2017). Asymptotic size of Kleibergen’s LM and conditional LR tests for moment condition models. Econometric Theory 33, 1046–1080.

Brown, B. W. and Newey, W. K. (2002). Generalized Method of Moments, Efficient Bootstrapping, and Improved Inference. Journal of Business \& Economic Statistics 20, 507-517, arXiv: https://doi.org/10.1198/073500102288618649 .

Caner, M. (2009). Testing, Estimation in GMM and CUE with Nearly-Weak Identification. Econometric Reviews 29, 330-363, arXiv: https://doi.org/10.1080/07474930903451599 .

Chernozhukov, V.; Chetverikov, D. and Kato, K. (2017). Central limit theorems and bootstrap in high dimensions. Ann. Probab. 45, 2309–2352.

Gine, E. (1997). Lectures on some aspects of the bootstrap. Lectures on Probability Theory and Statistics: Ecole d'Et{\'e} de Probabilit{\'e}s de Saint-Flour XXVI-1996, 37–151, Springer Berlin Heidelberg, Berlin, Heidelberg.

Guggenberger, P. and Smith, R. J. (2005). Generalized empirical likelihood estimators and tests under partial, weak, and strong identification. Econometric Theory 21, 667–709.

Hall, P. (1994). Chapter 39 Methodology and theory for the bootstrap. In: Handbook of Econometrics, editors, 2341 - 2381. Elsevier.

Horowitz, J. L. (2001). Chapter 52 - The Bootstrap. In: Handbook of Econometrics, editors, James J. Heckman and Edward Leamer, 3159 - 3228. Elsevier.

Kleibergen, F. (2005). Testing Parameters in GMM Without Assuming that They Are Identified. Econometrica 73, 1103-1123, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1468-0262.2005.00610.x.

Krinsky, I. and Robb, A. L. (1986). On Approximating the Statistical Properties of Elasticities. The Review of Economics and Statistics 68, 715–719.

MacKinnon, J. G. (2009). Bootstrap hypothesis testing. Handbook of Computational Econometrics 183, 213.

MacKinnon, J. G. (2006). Bootstrap Methods in Econometrics*. Economic Record 82, S2-S18, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1475-4932.2006.00328.x.

Moreira, M. J. (2003). A Conditional Likelihood Ratio Test for Structural Models. Econometrica 71, 1027-1048, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/1468-0262.00438.

Newey, W. K. and McFadden, D. (1994). Chapter 36 Large sample estimation and hypothesis testing. In: Handbook of Econometrics, editors, 2111 - 2245. Elsevier.

Newey, W. K. and Smith, R. J. (2004). Higher order properties of GMM and generalized empirical likelihood estimators. Econometrica 72, 219–255.

Romano, J. P. and Shaikh, A. M. (2012). On the uniform asymptotic validity of subsampling and the bootstrap. Ann. Statist. 40, 2798–2822.

Shi, X. (2012). Lecture 10: Bootstrap.

Stock, J. H.; Wright, J. H. and Yogo, M. (2002). A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments. Journal of Business \& Economic Statistics 20, 518-529, arXiv: https://doi.org/10.1198/073500102288618658 .

Stock, J. H. and Wright, J. H. (2000). GMM with Weak Identification. Econometrica 68, 1055-1096, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/1468-0262.00151.

Van der Vaart, A. W. (2000). Asymptotic statistics. Cambridge university press.