This paper discusses policies to improve fiscal relations between levels of government to better meet the needs of citizens, an objective of the government’s “Roadmap for Decentralisation”. Although local government accounts for around half of total government spending, they have little...

This paper quantifies the causal effect of capital status on road network integration of U.S.micro/metropolitan statistical areas. Road network integration is defined using a class of measurements that evaluate how well a location is connected to all other locations through the National Highway...

This paper quantifies the causal effect of capital status on road network integration of U.S.micro/metropolitan statistical areas. Road network integration is defined using a class of measurements that evaluate how well a location is connected to all other locations through the National Highway...

This paper uses the Italian income tax treatment of 2006/7 as a quasi-natural tax experiment to offer some fresh empirical evidence on how labour supply responds to exogenous income tax hikes. We adopt the identification strategy based on TWFE panel data Difference-in-Differences (DID) model to...

Instrumental variables estimators typically must satisfy monotonicity conditions to be interpretable as capturing local average treatment effects. Building on previous research that suggests monotonicity is unlikely to hold in the context of school entrance age effects, we develop an approach...

We present a unifying identification strategy of dynamic average treatment effect parameters for staggered interventions when parallel trends are valid only after controlling for interactive fixed effects. This setting nests the usual parallel trends assumption, but allows treated units to have...

This paper discusses pairing double/debiased machine learning (DDML) with stacking, a model averaging method for combining multiple candidate learners, to estimate structural parameters. We introduce two new stacking approaches for DDML: short-stacking exploits the cross-fitting step of DDML to...

We revisit the problem of estimating the local average treatment effect (LATE) and the local average treatment effect on the treated (LATT) when control variables are available, either to render the instrumental variable (IV) suitably exogenous or to improve precision. Unlike previous...

We revisit the problem of estimating the local average treatment effect (LATE) and the local average treatment effect on the treated (LATT) when control variables are available, either to render the instrumental variable (IV) suitably exogenous or to improve precision. Unlike previous...

This paper revisits the link between FDI and economic growth in emerging and developing economies. When we study the early decades of our sample, we find that there is no statistically significant correlation between FDI and growth for countries with average levels of education or financial...