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Data · dataset · 2026

Disentangling the effects of COVID-19 induced shocks and uncertainty on households' financial savings

Listed in Teesside University Research Data Repository

Data and codes are used to investigates the effects of COVID-19 induced shocks and uncertainty on households' financial savings.

Description

In the paper, we identify a containment shock, a fear-of-infection shock and an uncertainty shock. We employ a time-varying parameter vector autoregression model with stochastic volatility.

Our findings indicate that the containment shock has a positive and significant impact on household financial savings, whereas the effects of the fear-of-infection and the uncertainty shocks are smaller. Data employed are macroeconomic variables (financial savings, consumption, full-time equivalent employment, number of tourists). We further build a macroeconomic uncertainty index, following Jurado et al. (2015) and use Oxford COVID-19 Government Response Tracker.

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This repository is divided into two main folders: 1. replication_code_ILV 2. replication_code_ILV_robustness The first includes all the results, except for the robustness exercises, which are reported in the second folder. Each folder includes a file, ILV_READ_ME.pdf and ILV_READ_ME_ROBUSTNESS.pdf, respectively (or an equivalent .docx version), containing instructions for replicating the results of the paper, along with the input data and details on data processing.

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