This paper seeks to capture the dynamic interaction between the epidemiological evolution of COVID-19 and its effect on the macroeconomy, in absence of widespread vaccination. We do that by building a stylized two-equations dynamical system in the COVID-19 positivity rate and the unemployment rate. The solution of the system makes the case for an endemic equilibrium of COVID-19 infections, thus producing waves in the two variables in the absence of widespread immunity through vaccination. Furthermore, we model the impact of the pandemicdriven unemployment shock on output, showing how the emergence of cyclical downswings could determine a L-shaped recession in the medium run, in absence of adequate stimulus policies. Moreover, we simulate the model, calibrating it for the US. The simulation highlights the effects on unemployment and on overall economic activity produced by recurrent waves of COVID-19, which risk to jeopardize the coming back to the precrisis trend in the medium run.

In recent years, Post-Keynesian analysis has been characterized by a renewed interest in long-run theories of growth and distribution. While many authors have focused on the convergence of demand-led growth models to a fully adjusted equilibrium, relatively little attention has been given to the time required to reach this long-run position. In order to fill the gap, this paper seeks to answer the question of when is the long run in demand-led growth models. By making use of numerical integration, it analyses the time of adjustment from one steady-state to the other in two wellknown demand-led growth models: the Sraffian Supermultiplier and the fully adjusted version of the neo-Kaleckian model. The results show that the adjustment period is generally beyond an economically meaningful time span, suggesting that researchers and policy makers ought to pay more attention to the models' predictions during the traverse rather than focusing on steady-state positions.

This paper reviews and empirically tests the validity and policy conclusions of the Sraan Supermultiplier model (SSM) and the modied Neo-Kaleckian model after the inclusion of autonomous components of aggregate demand. First, we theoretically assess whether the SSM may constitute a complex variant of the Neo-Kaleckian model. In this sense, it is shown that results compatible with the SSM can be obtained by implementing a set of mechanisms in a modied Neo-Kaleckian model.Second, the paper empirically tests the main implications of the models in the Euro Area, based on Eurostat data. In particular, the discussion outlines the short and long-run relation between autonomous demand and output, by testing cointegration and causality with a VECM model. Moreover, the role accounted by both theories to the rate of capacity utilization is empirically assessed, through a time-series estimation of the Sraan and Neo-Kaleckian investment functions. While conrming the theoretical relation between autonomous demand and output in the long run, the results show that capacity utilization still plays a key role in the short-run adjustment mechanism. Therefore, admitting that Keynesian results may hold even after the traverse, our work suggests to be Kaleckian in the short run and Sraan in the long run.