Investigating COVID-19 spillovers in the US economy with a dynamic CGE model

PurposeThe recent COVID-19 is forcing governments to implement policies on a large scale to counter its spread. A central issue in the economic debate is the effective quantification of the impact that the policies may implicitly have on the economy. This study quantifies the effects of lockdown in the United States.Design/methodology/approach The study uses a dynamic computable general equilibrium (DCGE) model calibrated on a social accounting matrix (SAM). The lockdown policy is applied on the supply side, by using a reduction in the production according to the closing time of each industry. The reduction in the demand is also applied, throughout the contraction of the household consumption that is diversified by the commodities. In order to analyse the pure effect of the lockdown policy, the interventions by the policy makers are not considered in this study.FindingsThe results show an important contraction of productivity in the food industry, the real estate activities, the constructions and the general services.Originality/valueThe contraction produces a fall of the GDP for the whole period analysed, traced by the investments, which includes repercussions on the whole productive system, employment and income of the institutional sectors.

Lights out? COVID-19 containment policies and economic activity.

This paper estimates how strongly COVID-19 containment policies have impacted aggregate economic activity. We use a difference-in-differences methodology to estimate how containment zones of different severity across India impacted district-level nighttime light intensity, as well as household income and consumption. From May to July 2020, nighttime light intensity was 9.1 % lower in districts with the most severe restrictions compared with districts with the least severe restrictions, which could imply between 5.8 % and 6.6 % lower GDP. Nighttime light intensity was only 1.6 % lower in districts with intermediate restrictions. The differences were largest in May during the graded lockdown, and tapered in June and July. Lower house-hold income and consumption corresponding to zone-wise restrictions corroborate these results. Stricter containment measures had larger impacts in districts with greater population density, older residents, and more services employment. The large magnitudes of the findings suggest that governments should carefully consider the economic costs of country-wide pandemic containment policies while weighing the trade-offs against public health benefits. Keywords: Containment policies, COVID-19, Nighttime lights, India.

Reactions of Long-run Private Consumption in Malaysia to Crises, Economic Leadership and Telecommunication Technology

We estimate the long-run reactions of private consumption in Malaysia to crises, economic leadership, information and communications technology (ICT), and other key determinants using time series econometrics. This study covers the quarterly sample from 1990:Q1 to 2020:Q4. We find that Malaysia's private consumption and its key determinants are cointegrated, demonstrating that a reliable long-run private consumption function can be estimated. We find that both economic and health crises, namely the Asian financial crisis in 1997/98, SARS and COVID-19 pandemic are likely to reduce private consumption in Malaysia. However, the long-run estimation results show that ICT and economic leadership are positively related to consumption. Therefore, policymakers should set the goal of encouraging the development of ICT infrastructure and good economic leadership in order to promote private consumption, which eventually sustains long-term economic growth and development.