Research
Job Market Paper
Can a partially observed network reveal how central everyone is? Centrality shapes economic outcomes and guides policy. However, computing it requires full network data, which is costly and slow to collect. Simple random sampling biases centrality estimates. I propose a sequential sampling design: start with a random household, record its contacts, draw one of them at random, and repeat. The estimated eigenvector centrality is consistent at the rate of the average degree over the largest eigenvalue, for a fixed sampling fraction and nonvanishing spectral gaps. In least-squares regressions of an outcome on the estimated centrality, the robust $t$-statistics from the sampled and the full network are asymptotically equivalent under the null of a zero slope. In an application to the village networks of Banerjee et al. (2019), sequentially surveying half the households reproduces their full-network regression slopes within about one percent, whereas a simple random sample understates them by eleven to twelve percent.
Working Papers
- Reject and resubmit at The Econometrics Journal
This paper studies a linear production model in team networks with missing links. In the model, heterogeneous workers, represented as nodes, produce jointly and repeatedly within teams, represented as links. Links are omitted when their associated outcome variables fall below a threshold, resulting in partial observability of the network. To address this, I propose a Generalized Method of Moments estimator under normally distributed errors and develop a distribution-free test for detecting link truncation. Applied to academic publication data, the estimator reveals and corrects a substantial downward bias in the estimated scaling factor that aggregates individual fixed effects into team-specific fixed effects. This finding suggests that the collaboration premium may be systematically underestimated when missing links are not properly accounted for.
- Growing from Within: Multinational Linkages and Internal Reorganization in Supplier Firms
When a domestic firm becomes a supplier to a multinational, how does it reorganize the work inside its walls? This paper studies the internal reorganization of supplier firms following the formation of multinational linkages, using administrative microdata from Türkiye. Becoming a multinational’s supplier reshapes the occupational composition of the workforce: suppliers expand clerical and administrative employment, raising occupational diversity and the skill and task content of work. The resulting wage premium is an organizational effect rather than a mechanical consequence of scale. These results provide new evidence on a labor-market channel through which multinational linkages upgrade firm organization in a middle-income economy.