research

2023

1. 

   Capacity Utilization, Markup Cyclicality, and Inflation Dynamics

   Ignacio González, and Vasudeva Ramaswamy

   Working Paper, 2023

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   We introduce endogenous capacity utilization into a New Keynesian (NK) model. In our model, firms set capacity under demand uncertainty, utilizing both an effort margin and capacity expansion to meet demand. This mechanism implies that firm-level productivity and desired markups depend on the capacity utilization rate, enabling us to derive three (state-dependent) results that have proven challenging for NK models. First, following an expansionary demand shock, the aggregate markup responds procyclically when desired markups rise enough to overcome the effect of nominal rigidities. Secondly, the labor share can respond countercyclically for reasons that are empirically consistent, namely, when labor productivity, propelled by the utilization of idle capacity, increases more than wages. Finally, inflation typically displays a hump-shaped response, but can also respond sharply during periods of high capacity utilization due to fast-rising markups and reduced productivity effects. We detail the conditions under which these results arise. Using Bayesian IRF matching, we illustrate that our model provides a highly plausible fit to the data. Our results underscore the importance of capacity for the macroeconomic debate surrounding the determinants, dynamics and distributional effects of inflation.

2. 

   The Huey Long Spending Program in Louisiana: Estimating Fiscal Multipliers during the Great Depression

   Gabriel Mathy, and Vasudeva Ramaswamy

   Working Paper, 2023

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   What was the economic impact of expansionary fiscal policy during the Great Depression? We revisit this classic question using a unique state-level spending program to shed new light on the subject. Louisiana Governor Huey Long embarked on an ambitious public works and educational spending program on the eve of the Great Depression. We use the variation in state- and parish-level spending prevailing in the economy over the 1930s to estimate fiscal multipliers in the Great Depression. We find a multiplier of roughly 1 for the entire 1929-1939 period and about 1.25 for the 1929-1933 period. These estimates are similar to other studies in the Great Depression like Fishback and Kachanovskaya (2015), but lower than some modern studies at the zero lower bound that estimate the multiplier to be closer to 1.7-1.8 (Chodorow-Reich, 2019). We discuss factors that could explain the lower multipliers amidst record economic slack including a high share of imports, low level of human capital, small domestic production capacity, and corruption. We propose a corruption dismultiplier where corruption results in a lower fiscal multiplier due to measurement error. We use the records of indictments for corruption in the 1939-1940 Louisiana Scandals to try to correct for this error and find larger multipliers if we assume skimming of ≈2%.

3. 

   Rule-based Trading on an Order-driven Exchange: A Reassessment

   Alan G Isaac, and Vasudeva Ramaswamy

   Quantitative Finance, 2023

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   A core research area of computational behavioral finance investigates emergent price dynamics when heterogeneous traders follow a mix of rule-based strategies and interact indirectly through a limit order book. This paper offers a detailed specification of such a model in order to raise questions about some previous findings. The questions force a comprehensive reconsideration of the price dynamics of a well-known model. This leads to a surprising clarification of the contributions of various trading strategies to market outcomes: a popular characterization of chartism proves largely irrelevant for price dynamics. We also shed new light on the volume-volatility relationship, and provide improved visualizations to expose market behavior.

   @article{Isaac-Ramaswamy_QF2023,
     title = {Rule-based Trading on an Order-driven Exchange: A Reassessment},
     author = {Isaac, Alan G and Ramaswamy, Vasudeva},
     journal = {Quantitative Finance},
     pages = {1--16},
     year = {2023},
     publisher = {Taylor \& Francis},
   }