Argentina

We added a multi-sectoral economic framework to a SVEIR epidemiological model, combining the economic rationale of the DAEDALUS model with a detailed treatment of lockdown fatigue and declining compliance with Public Health and Social Measures reported in recent empirical work, to quantify the epidemic and economic benefits and costs of alternative lockdown and PHSM policies, both in terms of intensity and length. Our calibration replicates key features of the case and death-curves and economic cost for Argentina in 2021. The model allows us to quantify the short-term policy trade-off between lives and livelihoods and show that it can be significantly improved with targeted pharmaceutical policies such as vaccine rollout to reduce mainly severe disease and the death toll from COVID-19, as has been highlighted by previous studies.

What does it take for a sub-national unit to become an autonomous engine of growth? This issue is particularly relevant to large cities, as they tend to display larger and more complex know-how agglomerations and may have access to a broader set of policy tools. To approximate an answer to this question, specific to the case of Buenos Aires, Harvard’s Growth Lab engaged in a research project from December 2018 to June 2019, collaborating with the Center for Evidence-based Evaluation of Policies (CEPE) of Universidad Torcuato di Tella, and the Development Unit of the Secretary of Finance of the City of Buenos Aires. Together, we have developed research agenda that seeks to provide inputs for a policy plan aimed at decoupling Buenos Aires’s growth trajectory from the rest of Argentina’s.

Listen to the Growth Lab Podcast interview with the authors. 

Using job transition data from Argentina’s Household Survey, we document the extent to which human capital is specific to occupations and activities. Based on workers’ propensity to move between occupations/industries, we build Occupation and Industry Spaces to illustrate job similarities, and we compute an occupation and industry similarity measures that, in turn, we use to explain wage transition dynamics. We show that our similarity measures influence positively post-transition wages. Inasmuch as wages capture a worker´s marginal productivity and this productivity reflects the degree to which a worker matches the job’s skill demand, our results indicate that a worker´s human capital is specific to both occupation and activity: closer occupations share similar skill demands and task composition (in other words, demand similar workers) and imply a smaller human capital loss in the event of a transition.

This study presents evidence of tax avoidance in Buenos Aires, Argentina. I exploit a break in the tax scheme of the most controversial tax, Ingresos Brutos (gross income), between the city and the greater area, which are otherwise identical law and regulation-wise for the studied population. When possible, workers would rather travel longer distances to their jobs than face the tax burden. Given that this type of avoidance is costly, results suggest that Ingresos Brutos might be acting as a binding constraint to growth for businesses.