Sebastian Kripfganz

Senior Lecturer (advanced assistant professor) in Econometrics,
University of Exeter Business School, Department of Economics

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Title and Abstract
Chasing opportunity: Spillovers and drivers of U.S. state population growth
We examine the drivers and spatial diffusion of US state population growth using a dynamic spatial panel model over the period 1965-2017. Methodologically, the spatial network is recovered from the data rather than imposed a priori, and estimation framework permits heterogeneous slopes and interactive fixed effects. Population growth displays heterogeneous conditional convergence: around three-quarters of states converge, while a small high-growth group diverges mildly. Core drivers such as amenities, labour income and migration frictions are robust across network specifications, whereas productivity effects arise only under data-inferred networks. Spatial spillovers are economically meaningful, accounting for roughly one-third of total effects and extending beyond contiguous neighbours.
Suggested Citation
Kripfganz, S., and V. Sarafidis (2026). Chasing opportunity: Spillovers and drivers of U.S. state population growth. Spatial Economic Analysis, 20th Anniversary Special Issue, forthcoming.
Related Work
Kripfganz, S., and V. Sarafidis (2025). Estimating spatial dynamic panel data models with unobserved common factors in Stata. Journal of Statistical Software 113 (6).
Kripfganz, S., and V. Sarafidis (2021). Instrumental-variable estimation of large-T panel-data models with common factors. Stata Journal 21 (3), 659-686.
Authors
Sebastian Kripfganz
University of Exeter
Vasilis Sarafidis
Brunel University London
Journal Article
Spatial Economic Analysis, 20th Anniversary Special Issue, forthcoming
Article DOI
10.1080/17421772.2026.2624406

www.kripfganz.de