Lucas Teixeira on Inflation

The talk here. Recording is not the best, and the Power Point cannot be seen. It is available here for those interested.

Paper is here. From the abstract:

In the overlapping global emergencies of the pandemic, climate change and geopolitical confrontations, supply shocks have become frequent and inflation has returned. This raises the question how sector-specific shocks are related to overall price stability. This paper simulates price shocks in an input-output model to identify sectors which present systemic vulnerabilities for monetary stability in the US. We call these prices systemically significant. We find that in our simulations the pre-pandemic average price volatilities and the price shocks in the COVID-19 and Ukraine war inflation yield an almost identical set of systemically significant prices. The sectors with systemically significant prices fall into three groups: energy, basic production inputs other than energy, basic necessities, and commercial and financial infrastructure. Specifically, they are “Petroleum and coal products”, “Oil and gas extraction”, “Utilities”, “Chemical products”, “Farms”, “Food and beverage and tobacco products”, “Housing”, and “Wholesale trade”. We argue that in times of overlapping emergencies, economic stabilization needs to go beyond monetary policy and requires institutions and policies that can target these systemically significant sectors.

Cycles: empirics and the supermultiplier theory

 

New paper on the empirical evidence of the relevance of the supermultiplier for explaining economic cycles by Ricardo Summa, Gabriel Petrini, and Lucas Teixeira. From the abstract:

The demand-led supermultiplier growth model proposes that business investment is induced by income while autonomous expenditures determine economic growth. The most known versions of the model are presented at high levels of abstraction, focusing on general analytical properties and dynamic stability conditions. Based on those versions, Nikiforos et al. (2021) argue that the supermultiplier model cannot generate business cycles compatible with the empirical observation. In this paper, we show that this conclusion is a consequence of the misspecification of the variable chosen to represent the investment share, which includes business and residential investment. As the separation of those expenditures is a central point in the supermultiplier theory, we estimate a VAR model for the US economy (1967-2020) using only the data on business investment share instead. This procedure re-establishes an important feature to the supermultiplier theory, the mechanism of capital stock adjustment, as the empirical results points to the business investment share generally lagging the cycle. Finally, we make some remarks on how to discuss the business cycle from the supermultiplier perspective. We argue that for the supermultiplier, the business cycle depends less on the mechanism of capital stock adjustment than on the behavior of the autonomous components of demand and changes in the multiplier components. As the latter two are influenced by political, social and institutional factors, each business cycle has its own narrative.

Download here.