I started by studying productivity at the country and firm levels. My main interest in productivity today is in characterising its distribution, since it hits many nerves in the inequality field.
In brief, my contribution is to take distributions of economic data seriously. I believe they reveal important economic hierarchies. In terms of practical applications, my work on distributions has taken me far and wide. My thesis focuses on extreme values in economics, centering on three questions: when do they appear, when do they matter, and why they might sometimes not matter?
For my first paper, my co-author, Valentina Semenova, and I observed that certain 'extremes' in trading activity originated in coordinated 'runs' by a vast number of retail investors on Reddit, or, specifically, its 'WallStreetBets' sub-forum. In doing so, we were also keen to make the simple point that, as Robert Shiller famously puts it, 'investing in speculative assets is a social activity'. This work was picked up by a few media outlets after the infamous GameStop short-squeeze in January 2021.
More broadly, my research interests also include supply chain networks, business cycles, growth accounting and measurement, technological change, and industrial organisation. Below, you will find a list of papers at various stages of completion.
Abstract: I introduce a general method to account for the distribution of underlying components (variety) in the growth of an aggregate quantity, using the notion of entropy. This accounting decomposition enables a number of insightful applications to index numbers in economics. The cross-entropy of GDP with respect to a benchmark captures the change in its distribution, and thus how well this benchmark matches data for price and volume indices across time. This 'error' changes demonstrably over time. Accounting of variety also lends itself to a decomposition of labour productivity growth by a technology component (how many more 'average' goods are produced per unit of labor?), and the allocation of labour (does the distribution of labor inputs converge to the distribution of outputs?) plus demand (does the distribution of expenditures diverge from the distribution of outputs?).
With: Valentina Semenova
Abstract: This paper develops an empirical and theoretical case for how 'hype’ among retail investors can drive large asset price fluctuations. We use text data from discussions on WallStreetBets (WSB), an online investor forum with over eleven million followers as of February 2022, as a case study to demonstrate how retail investors influence each other, and how social behaviours impact financial markets. We document that WSB users adopt price predictions about assets (bullish or bearish) in part due to the sentiments expressed by their peers. Discussions about stocks are also self-perpetuating: narratives about specific assets spread at an increasing rate before peaking, and eventually diminishing in importance - a pattern reminiscent of an epidemiological setting. To consolidate these findings, we develop a model for the impact of social dynamics among retail investors on asset prices. We find that the interplay between 'trend following’ and 'consensus formation’ determines the stability of price returns, with socially-driven investing potentially causing oscillations and cycles. Our framework helps identify components of asset demand stemming from social dynamics, which we predict using WSB data. Our predictions explain significant variation in stock market activity. These findings emphasise the role that social dynamics play in financial markets, amplified by online social media.
With: Jangho Yang, Torsten Heinrich, François Lafond, Pantelis Koutroumpis, and J. Doyne Farmer
Abstract: It is well-known that value added per worker is extremely heterogeneous among firms, but relatively little has been done to characterize this heterogeneity more precisely. Here we show that the distribution of value-added per worker exhibits heavy tails, a very large support, and consistently features a proportion of negative values, which prevents log transformation. We propose to model the distribution of value added per worker using the four parameter Lévy stable distribution, a natural candidate deriving from the Generalised Central Limit Theorem, and we show that it is a better fit than key alternatives. Fitting a distribution allows us to capture dispersion through the tail exponent and scale parameters separately. We show that these parametric measures of dispersion are at least as useful as interquantile ratios, through case studies on the evolution of dispersion in recent years and the correlation between dispersion and intangible capital intensity.
With: Ian Goldin, Pantelis Koutroumpis and François Lafond
Abstract: We review recent research on the slowdown of labor productivity and examine the contribution of different explanations to this decline. Comparing the post-2005 period with the preceding decade for 5 advanced economies, we seek to explain a slowdown of 0.8 to 1.8pp. We trace most of this to lower contributions of TFP and capital deepening, with manufacturing accounting for the biggest sectoral share of the slowdown. No single explanation accounts for the slowdown, but we have identified a combination of factors which taken together account for much of what has been observed. In the countries we have studied, these are mismeasurement, a decline in the contribution of capital per worker, lower spillovers from the growth of intangible capital, the slowdown in trade, and a lower growth of allocative efficiency. Sectoral reallocation and a lower contribution of human capital may also have played a role in some countries. In addition to our quantitative assessment of explanations for the slowdown, we qualitatively assess other explanations, including whether productivity growth may be declining due to innovation slowing down.
Updated: May 2022
PGP Key Fingerprint: 123B EC3B 5E95 8F21 C5AE 476D 257A 4D9B F733 9E09
Twitter Handle: @Julian__Winkler