Research Topics

The paper provides an empirical discussion of the national emergency utilization rate (NEUR), which is based on a “national emergency” definition of potential output and is published by the US Census Bureau. Over the peak-to-peak period 1989–2019, the NEUR decreased by 14.2 percent. The paper examines the trajectory of potential determinants of capacity utilization over the same period as specified in the related theory, namely: capital intensity, relative prices of labor and capital, shift differentials, rhythmic variations in demand, industry concentration, and aggregate demand. It shows that most of them have moved in a direction that would lead to an increase in utilization. The main factor that can explain the decrease in the NEUR is aggregate demand, while the increase in industry concentration might have also played a small role.

Some Empirical Issues

The paper makes three contributions. First, following up on Nikiforos (2016), it provides an in-depth examination of the Federal Reserve measure of capacity utilization and shows that it is closer to a cyclical indicator than a measure of long run variations of normal utilization. Other measures, such as the average workweek of capital or the national emergency utilization rate are more appropriate for examining long-run changes in utilization. Second, and related to that, it argues that a relatively stationary measure of utilization is not consistent with any theory of the determination of utilization. Third, based on data on the lifetime of fixed assets it shows that for the issues around the “utilization controversy” the long run is a period after thirty years or more. This makes it a Platonic Idea for some economic problems.

Some Theoretical Issues

This paper discusses some issues related to the triangle between capital accumulation, distribution, and capacity utilization. First, it explains why utilization is a crucial variable for the various theories of growth and distribution—more precisely, with regards to their ability to combine an autonomous role for demand (along Keynesian lines) and an institutionally determined distribution (along classical lines). Second, it responds to some recent criticism by Girardi and Pariboni (2019). I explain that their interpretation of the model in Nikiforos (2013) is misguided, and that the results of the model can be extended to the case of a monopolist. Third, it provides some concrete examples of why demand is a determinant for the long-run rate of utilization of capital. Finally, it argues that when it comes to the normal rate of utilization, it is the expected growth rate of demand that matters, not the level of demand.

This paper provides a theoretical explanation of the accumulation process, which accounts for the developments in the financial markets over the recent past. Specifically, our approach is focused on the presence of correlations between physical and financial investment, and how the latter could affect the former. In order to achieve this objective, two assets are considered: equities and bonds. This choice permits us to account for two extreme alternative possibilities: taking risk in the short run with unknown profits, or undertaking a commitment to the long run with known yields. This proposal also accounts for the influence of the cost of external finance and the impact of financial uncertainty, as proxied by the interest rate in the former case and the exchange rate in the latter case; thereby utilizing the Keynesian notion of conventions in the determination of investment. The model thus formulated is subsequently estimated by applying the difference GMM and the system GMM in a panel of 14 OECD countries from 1970 to 2010.