EconPapers    
Economics at your fingertips  
 

Icarus and Daedalus: Non-Gaussian Micro Shocks and Aggregate Productivity Risk

Ronit Mukherji () and Alejandro Rojas-Bernal ()
Additional contact information
Ronit Mukherji: Ashoka University
Alejandro Rojas-Bernal: University of Hawaii

No 202604, Working Papers from University of Hawaii at Manoa, Department of Economics

Abstract: How does productivity evolve at the microeconomic level, and how does that evolution shape aggregate risk? Using restricted-use plant--product data from India's Annual Survey of Industries (2010-11 to 2022-23), we construct annual physical-output Solow-residual growth accounting for markups, inventories, and heterogeneous input costs. Productivity growth is sharply peaked and fat-tailed, with nonlinear mean reversion that varies with producer size. Larger producers recover more strongly after adverse shocks and retain more of their favorable gains-the Daedalian level effect-yet their shocks extend farther into both tails conditional on entry. Smaller producers exhibit sharper reversals after large favorable shocks-Icarian fallout. We capture these patterns with a three-regime Markov normal mixture conditioned on productivity history and size. Our law of motion yields the distribution of aggregate technology growth. Relative to a size-dependent Gaussian distribution, our regime model has lower aggregate dispersion but substantially thicker standardized tails and raises the probability of an aggregate technology contraction from 0.05% to 0.31%. Removing size dependence while retaining three regimes instead lowers expected growth and raises contraction probability to 2.47%. These separately estimated alternatives show that nonnormality and size dependence have distinct implications for aggregate risk. Granularity is distributional: aggregation weights determine whose shocks matter; productivity dynamics determine the risks they carry.

Keywords: Firm productivity dynamics; aggregate productivity risk; non-Gaussian productivity shocks; production networks; granular fluctuations; firm-size heterogeneity; physical-output productivity (search for similar items in EconPapers)
JEL-codes: C46 D22 D24 D57 E23 E32 L11 L25 O47 (search for similar items in EconPapers)
Date: 2026-09
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.economics.hawaii.edu/research/workingpapers/WP_26-04.pdf First version, 2026 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hai:wpaper:202604

Ordering information: This working paper can be ordered from
http://www.economics ... esearch/working.html

Access Statistics for this paper

More papers in Working Papers from University of Hawaii at Manoa, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Web Technician ().

 
Page updated 2026-09-28
Handle: RePEc:hai:wpaper:202604