Saved in:
Bibliographic Details
Main Authors: Marcellino, Massimiliano, Renzetti, Andrea, Tornese, Tommaso
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.05629
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915009957724160
author Marcellino, Massimiliano
Renzetti, Andrea
Tornese, Tommaso
author_facet Marcellino, Massimiliano
Renzetti, Andrea
Tornese, Tommaso
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_05629
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Nowcasting distributions: a functional MIDAS model
Marcellino, Massimiliano
Renzetti, Andrea
Tornese, Tommaso
Econometrics
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.
title Nowcasting distributions: a functional MIDAS model
topic Econometrics
url https://arxiv.org/abs/2411.05629