Complex price dynamics in vertically linked cobweb markets

C-Tier
Journal: Economic Modeling
Year: 2018
Volume: 72
Issue: C
Pages: 363-378

Authors (2)

Chaudhry, Muhammad Imran (not in RePEc) Miranda, Mario J. (Ohio State University)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We enrich the traditional cobweb model by explicitly modelling interdependencies between upstream and downstream farmers in a vertically linked agricultural supply chain. Analysis of the system of nonlinear difference equations characterizing price dynamics in the underlying model reveal complex, quasi-cyclical price fluctuations around the unique equilibrium state. We show that time-delays arising from the unequal lengths of upstream and downstream production cycles have profound effects on price dynamics. From a policy perspective, we find that improvements in downstream production technology and declines in consumers’ sensitivity to prices lead to chaotic price fluctuations. Simulations under reasonable model calibrations reproduce the stylized features of actual prices, including quasi-cyclical fluctuations, positive first-order autocorrelation and fat-tailed distributions. In doing so, we address a major criticism of the theory of endogenous price fluctuations: the failure of chaotic cobweb models to replicate positively autocorrelated prices.

Technical Details

RePEc Handle
repec:eee:ecmode:v:72:y:2018:i:c:p:363-378
Journal Field
General
Author Count
2
Added to Database
2026-01-26