High-Dimensional Mixed-Frequency IV Regression

References

• Andreou, E., Ghysels, E., and Kourtellos, A. (2010), “Regression Models With Mixed Sampling Frequencies,” Journal of Econometrics, 158, 246–261. DOI: 10.1016/j.jeconom.2010.01.004.
   Web of Science ®Google Scholar
• Babii, A. (2020), “Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models,” Econometric Theory, 36, 658–706. DOI: 10.1017/S0266466619000380.
   Web of Science ®Google Scholar
• Babii, A., and Florens, J.-P. (2020a), “Are Unobservables Separable?” arXiv:1705.01654v3.
   Google Scholar
• _________ (2020b), “Is Completeness Necessary? Estimation in Nonidentified Linear Models,” arXiv:1709.03473v3.
   Google Scholar
• Babii, A., Ghysels, E., and Striaukas, J. (2021a), “High-Dimensional Granger Causality Tests With an Application to VIX and News,” arXiv:1912.06307.
   Google Scholar
• _________ (2021b), “Machine Learning Time Series Regressions With an Application to Nowcasting,” Journal of Business & Economic Statistics.
   PubMed Web of Science ®Google Scholar
• Belloni, A., Chen, D., Chernozhukov, V., and Hansen, C. (2012), “Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain,” Econometrica, 80, 2369–2429.
   Web of Science ®Google Scholar
• Belloni, A., Chernozhukov, V., Chetverikov, D., Hansen, C., and Kato, K. (2018), “High-Dimensional Econometrics and Regularized GMM,” arXiv:1806.01888.
   Google Scholar
• Belloni, A., Chernozhukov, V., and Hansen, C. (2013), “Inference on Treatment Effects after Selection among High-Dimensional Controls,” Review of Economic Studies, 81, 608–650. DOI: 10.1093/restud/rdt044.
   Web of Science ®Google Scholar
• Benatia, D., Carrasco, M., and Florens, J.-P. (2017), “Functional Linear Regression with Functional Response,” Journal of Econometrics, 201, 269–291. DOI: 10.1016/j.jeconom.2017.08.008.
   Web of Science ®Google Scholar
• Bierens, H. J. (1982), “Consistent Model Specification Tests,” Journal of Econometrics, 20, 105–134. DOI: 10.1016/0304-4076(82)90105-1.
   Web of Science ®Google Scholar
• Bosq, D. (2012), Linear Processes in Function Spaces: Theory and Applications (Vol. 149), New York: Springer.
   Google Scholar
• Carrasco, M. (2012), “A Regularization Approach to the Many Instruments Problem,” Journal of Econometrics, 170, 383–398. DOI: 10.1016/j.jeconom.2012.05.012.
   Web of Science ®Google Scholar
• Carrasco, M., Chernov, M., Florens, J.-P., and Ghysels, E. (2007), “Efficient Estimation of General Dynamic Models With a Continuum of Moment Conditions,” Journal of Econometrics, 140, 529–573. DOI: 10.1016/j.jeconom.2006.07.013.
   Web of Science ®Google Scholar
• Carrasco, M., and Florens, J.-P. (2000), “Generalization of GMM to a Continuum of Moment Conditions,” Econometric Theory, 16, 797–834. DOI: 10.1017/S0266466600166010.
   Web of Science ®Google Scholar
• Carrasco, M., Florens, J.-P., and Renault, E. (2007), “Chapter 77: Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization,” in Handbook of Econometrics (Vol. 6), eds. J. J. Heckman and E. E. Leamer, North Holland, Amsterdam, pp. 5633–5751.
   Google Scholar
• ——— (2014), “Asymptotic Normal Inference in Linear Inverse Problems,” in The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics, eds. J. S. Racine, L. Su, and A. Ullah, Oxford: Oxford University Press.
   Google Scholar
• Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., and Robins, J. (2018), “Double/Debiased Machine Learning for Treatment and Structural Parameters,” Econometrics Journal, 21, C1–C68. DOI: 10.1111/ectj.12097.
   Web of Science ®Google Scholar
• Chernozhukov, V., Chetverikov, D., and Kato, K. (2014), “Gaussian Approximation of Suprema of Empirical Processes,” Annals of Statistics, 42, 1564–1597.
   Web of Science ®Google Scholar
• _________ (2016), “Stochastic Processes and their Applications,” Annals of Statistics, 126, 3632–3651.
   Google Scholar
• Dominguez, M., and Lobato, I. (2004), “Consistent Estimation of Models Defined by Conditional Moment Restrictions,” Econometrica, 72, 1601–1615. DOI: 10.1111/j.1468-0262.2004.00545.x.
   Web of Science ®Google Scholar
• Donoho, D. L. (2000), “High-Dimensional Data Analysis: The Curses and Blessings of Dimensionality,” AMS Math Challenges Lecture, p. 32.
   Google Scholar
• Doukhan, P., Lang, G., Leucht, A., and Neumann, M. (2015), “Journal of Time Series Analysis,” Journal of the American Statistical Association, 36, 290–314.
   Google Scholar
• Farrell, M. (2015), “Robust Inference on Average Treatment Effects With Possibly more Covariates than Observations,” Journal of Econometrics, 189, 1–23. DOI: 10.1016/j.jeconom.2015.06.017.
   Web of Science ®Google Scholar
• Féve, F., and Florens, J. (2010), “The Practice of Non-Parametric Estimation by Solving Inverse Problems: The Example of Transformation Models,” Econometrics Journal, 13, S1–S27. DOI: 10.1111/j.1368-423X.2010.00314.x.
   Web of Science ®Google Scholar
• Florens, J.-P., and Sokullu, S. (2018), “Is There an Optimal Weighting for Linear Inverse Problems,” University of Bristol Working Papers.
   Google Scholar
• Florens, J.-P., and Van Bellegem, S. (2015), “Instrumental Variable Estimation in Functional Linear Models,” Journal of Econometrics, 186, 465–476. DOI: 10.1016/j.jeconom.2015.02.020.
   Web of Science ®Google Scholar
• Foroni, C., Marcellino, M., and Schumacher, C. (2015), “Unrestricted Mixed Data Sampling (MIDAS): MIDAS Regressions With Unrestricted Lag Polynomials,” Journal of the Royal Statistical Society, Series A, 178, 57–82. DOI: 10.1111/rssa.12043.
   Web of Science ®Google Scholar
• Gagliardini, P., and Scaillet, O. (2012), “Tikhonov Regularization for Nonparametric Instrumental Variable Estimators,” Journal of Econometrics, 167, 61–75. DOI: 10.1016/j.jeconom.2011.08.006.
   Web of Science ®Google Scholar
• Geweke, J. (1978), “Temporal Aggregation in the Multiple Regression Model,” Econometrica, 46, 643–661. DOI: 10.2307/1914238.
   Web of Science ®Google Scholar
• Ghysels, E., Santa-Clara, P., and Valkanov, R. (2004), “The MIDAS Touch: Mixed Data Sampling Regression Models,” UNC Working Paper.
   Google Scholar
• Ghysels, E., Sinko, A., and Valkanov, R. (2007), “MIDAS Regressions: Further Results and New Directions,” Econometric Reviews, 26, 53–90. DOI: 10.1080/07474930600972467.
   Web of Science ®Google Scholar
• Imaizumi, M., and Kato, K. (2020), “A Simple Method to Construct Confidence Bands in Functional Linear Regression,” Statistica Sinica, 29, 2055–2081.
   Web of Science ®Google Scholar
• Khalaf, L., Kichian, M., Saunders, C., and Voia, M. (2021), “Dynamic Panels With MIDAS Covariates: Nonlinearity, Estimation and Fit,” Journal of Econometrics, 220, 589–605. DOI: 10.1016/j.jeconom.2020.04.015.
   Web of Science ®Google Scholar
• Kyle, A. S. (1985), “Continuous Auctions and Insider Trading,” Econometrica, 53, 1315–1335. DOI: 10.2307/1913210.
   Web of Science ®Google Scholar
• Lavergne, P., and Patilea, V. (2013), “Smooth Minimum Distance Estimation and Testing With Conditional Estimating Equations: Uniform in Bandwidth Theory,” Journal of Econometrics, 177, 47–59. DOI: 10.1016/j.jeconom.2013.05.006.
   Web of Science ®Google Scholar
• Mörters, P., and Y. Peres (2010): Brownian Motion, Cambridge, UK: Cambridge University Press.
   Google Scholar
• Patrick, R. H., and F. A. Wolak (2001): “Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices,” NBER Working Paper.
   Google Scholar
• Robinson, P. M. (1988), “Root-N-Consistent Semiparametric Regression,” Econometrica, 56, 931–954. DOI: 10.2307/1912705.
   Web of Science ®Google Scholar
• Sims, C. A. (1971), “Discrete Approximations to Continuous Time Distributed Lags in Econometrics,” Econometrica, 39, 545–563. DOI: 10.2307/1913265.
   Web of Science ®Google Scholar
• Stinchcombe, M. B., and White, H. (1998), “Consistent Specification Testing With Nuisance Parameters Present Only Under the Alternative,” Econometric theory, 14, 295–325. DOI: 10.1017/S0266466698143013.
   Web of Science ®Google Scholar
• Tikhonov, A. N. (1943), “On the Stability of Inverse Problems (in Russian),” Doklady Akademii Nauk, 143, 195–198.
   Google Scholar
• _________ (1963), “On the Regularization of Ill-Posed Problems (in Russian),” Doklady Akademii Nauk, 153, 49–52.
   Web of Science ®Google Scholar
• Wright, P. G. (1928), Tariff on Animal and Vegetable Oils, New York: Macmillan Company.
   Google Scholar