activity
20202025
most citedDouble Machine Learning and Automated Confounder Selection -- A Cautionary Tale

28 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

econ.GN2025★ 8 cited

The COVID-19 Inflation Weighting in Israel

Jonathan Benchimol, Itamar Caspi, Yuval Levin

Significant shifts in the composition of consumer spending as a result of the COVID-19 crisis can complicate the interpretation of official inflation data, which are calculated by…

econ.GN2025★ 15 cited

Measuring Communication Quality of Interest Rate Announcements

Jonathan Benchimol, Itamar Caspi, Sophia Kazinnik

We use text-mining techniques to measure the accessibility and quality of information within the texts of interest rate announcements published by the Bank of Israel over the past…

econ.GN2024

The Mortgage Cash-Flow Channel: How Rising Interest Rates Impact Household Consumption

Itamar Caspi, Nadav Eshel, Nimrod Segev

This study investigates the impact of increased debt servicing costs on household consumption resulting from monetary policy tightening. It utilizes observational panel microdata o…

econ.EM2021★ 28 cited

Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale

Paul Hünermund, Beyers Louw, Itamar Caspi

Double machine learning (DML) has become an increasingly popular tool for automated variable selection in high-dimensional settings. Even though the ability to deal with a large nu…

econ.GN2020★ 1 cited

Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks

Oren Barkan, Jonathan Benchimol, Itamar Caspi +3

We present a hierarchical architecture based on Recurrent Neural Networks (RNNs) for predicting disaggregated inflation components of the Consumer Price Index (CPI). While the majo…