Measuring Growth Spillovers
Bibliographic Data
| ID | 21512972 |
|---|---|
| Authors | Francisco Blasques (0000-0001-5035-1990, Tinbergen Institute), P Gorgi (Vrije Universiteit Amsterdam Amsterdam The Netherlands), Siem Jan Koopman (0000-0002-4440-9524, Vrije Universiteit Amsterdam Amsterdam The Netherlands, corresponding author), James Sampi (0000-0002-4451-0294, World Bank) |
| Year | 2026 |
| Volume | 88 |
| Issue | 2 |
| Pages | 213-225 |
| Publication date | 2026-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Oxford Bulletin of Economics and Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0305-9049 • E-ISSN: 1468-0084 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/obes.70013 |
| OpenAlex | W4413866783 |
| Language | EN |
| References cited | 33 |
We propose a multilevel econometric model with time‐varying spillover parameters that disentangle within‐country from between‐country growth spillovers. Parameter estimation is carried out by the method of maximum likelihood. The finite‐sample properties of the resulting estimates are validated through a Monte Carlo study. We illustrate the model properties in an empirical application for six Latin American countries. The results show that our multilevel framework outperforms a benchmark model without the multilevel data structure. Specifically, the benchmark model tends to underestimate the spillover parameter compared to our multilevel approach. Also, the between‐country spillover is subject to cyclical dynamics, varying from negative to positive values, and suggests that growth in partner countries can either accelerate or decelerate their domestic growth. In contrast, all within‐country spillovers are positive and can be regarded as growth multipliers that reinforce internal economic dynamics within each country
Econometrics · Economics · Economic Policies and Impacts · Energy, Environment, Economic Growth · Monetary Policy and Economic Impact
Natural Resource Abundance and Economic Growth
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
Growth, technological interdependence and spatial externalities
On the network topology of variance decompositions
Some recent developments in spatial panel data models
International Business Cycles
Natural Resources
Estimation and inference for spatial models with heterogeneous coefficients
Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model
Do Spillovers Matter When Estimating Private Returns to R&D
Empirical growth models with spatial effects
Sectoral versus Aggregate Shocks
Firm Volatility in Granular Networks
From Micro to Macro via Production Networks
| Citation velocity | historical |
|---|---|
| Highly cited | No |