Sparse Production Networks

Working Paper: CEPR ID: DP17667

Authors: Andrew Bernard; Yuan Zi

Abstract: Firm-to-firm connections in domestic and international production networks play a fundamental role in economic outcomes. Firm heterogeneity and the sparse nature of firm-to-firm connections implicitly discipline network structure. We find that a large group of well-established statistical relationships are not useful in improving our understanding of production networks. We propose an "elementary" model for production networks based on random matching and firm heterogeneity and characterize the families of statistics and data generating processes that may raise underidentification concerns in more complex models. The elementary model is a useful benchmark in developing "instructive" statistics and informing model construction and selection.

Keywords: firm-to-firm networks; model selection; balls-and-bins; buyer-seller matching; underidentification

JEL Codes: F11; F14


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
firm heterogeneity (D21)economic outcomes (F61)
sparse nature of connections (D85)economic outcomes (F61)
random matching of buyers and sellers (C78)sparse production network (D85)
network structure (D85)firm characteristics (L20)

Back to index