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Nowcasting distributions: a functional MIDAS model

Massimiliano Marcellino, Andrea Renzetti, Tommaso Tornese

arXiv 8 Nov 2024 · Econometrics

arXiv:2411.05629 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We propose a functional MIDAS model to leverage high-frequency information for forecasting and nowcasting distributions observed at a lower frequency. We approximate the low-frequency distribution using Functional Principal Component Analysis and consider a group lasso spike-and-slab prior to identify the relevant predictors in the finite-dimensional SUR-MIDAS approximation of the functional MIDAS model. In our application, we use the model to nowcast the U.S. households' income distribution. Our findings indicate that the model enhances forecast accuracy for the entire target distribution and for key features of the distribution that signal changes in inequality.

Citation extraction

30
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Mogliani, Matteo, Simoni, Anna (2021) Bayesian MIDAS penalized regressions: Estimation, selection, and prediction0.9619489%
2Schorfheide, Frank, Song, Dongho (2015) Real-time forecasting with a mixed-frequency VAR0.92843100%
3Ramsay, J. O., Silverman, B. W (2005) Functional Data Analysis0.64422100%
4Petersen, Alexander, Müller, Hans-Georg (2016) Functional data analysis for density functions by transformation to a Hilbert space0.58531100%
5Carriero, Andrea, Chan, Joshua, Clark, Todd E., Marcellino, Massimil… (2022) Corrigendum to “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors” [J. Econometrics 212… self0.5112250%
6Xu, Xiaofan, Ghosh, Malay (2015) Bayesian Variable Selection and Estimation for Group Lasso0.51121100%
7Azzalini, Adelchi, Capitanio, Antonella (2003) Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t-distribution0.40511100%
8Koop, Gary, McIntyre, Stuart, Mitchell, James, Wu, Ping (2024) Mixed Frequency Functional VARs for Nowcasting and Structural Analysis of the Income Distribution in the UK0.40511100%
9Marcellino, Massimiliano, Tornese, Tommaso (2024) The Distributional Effects of Economic Uncertainty self0.40511100%
10Chan, Joshua C. C (2022) Asymmetric conjugate priors for large Bayesian VARs0.40511100%

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Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model0.40511