Spatial and Network Econometrics
Spatial dependence, network structure, spatial panel models, and policy spillovers.
Research Fellow | Statistician | Economist
Econometric methods for policy, macroeconomics, spatial data, and climate analysis.
I am an economist and applied econometrician working across spatial econometrics, macroeconometrics, Bayesian statistics, health econometrics, medical statistics, and policy-oriented empirical research.
Profile
Applied econometrics with a policy-facing orientation.
My work studies how economic outcomes are shaped by spatial dependence, networks, climate shocks, institutional change, and policy design. I use spatial, network, Bayesian, panel-data, and machine-learning methods to evaluate policy questions and build reproducible empirical tools.
My doctoral research in Economics examined applied spatial econometrics in policy analysis, including monetary policy deliberation, post-Brexit economic connectedness, multi-country macroeconomic models, and climate impacts on agricultural productivity.
Research Areas
Econometrics, policy, and computation
A coherent research agenda across spatial dependence, macroeconomic decision-making, Bayesian modelling, and empirical policy analysis.
Macroeconometrics
Central-bank decision-making, small open economy models, DSGE methods, and macroeconomic connectedness.
Bayesian Statistics
Bayesian model comparison, MCMC estimation, Bayesian Global VARs, and applied statistical learning.
Climate and Policy Analysis
Climate shocks, agricultural productivity, land use, renewable energy, and policy evaluation.
Selected Work
Current research and software
A compact view of active research and open-source tools, with more detail available on the Research and Software pages.
A Precise Zero: Local Fiscal Multipliers from Kenya's Devolution Natural Experiment
Work in progress with Steven Pennings on fiscal decentralization and regional multipliers in Kenya.
Network Structures and Heterogeneity in Policy Preferences at the FOMC
Spatial econometric analysis of preference heterogeneity and interaction patterns in monetary policy deliberation.
spmixW
R package for Bayesian spatial panel data models with convex combinations of spatial weight matrices.
GAMSr
R-native modelling interface for GAMS, supporting reproducible workflows for applied economic modelling.
Contact