We provide causal evidence that conditional cash transfers increase vaccination rates by 19 percentage points when disbursed via mobile phones: evidence from pakistan. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
We provide causal evidence that currency devaluations in sub-saharan africa increase food insecurity by 18% within 6 months: a synthetic control study. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
This paper investigates the econometric foundations underlying identification in triangular systems with discrete endogenous variables requires rank conditions that fail 73% of the time in practice. Using a combination of Monte Carlo simulations, analytical derivations, and empirical applications, we demonstrate that conventional approaches suffer from previously unrecognized biases.
This paper investigates the econometric foundations underlying instrumental variable estimation under monotonicity violations: sharp identified sets are 40% wider than point estimates suggest. Using a combination of Monte Carlo simulations, analytical derivations, and empirical applications, we demonstrate that conventional approaches suffer from previously unrecognized biases.
We provide causal evidence that public pension generosity reduces private savings by only 30 cents per dollar: revised estimates using administrative data from 8 oecd countries. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
This paper investigates the econometric foundations underlying bartik instruments require 50+ sectors for valid inference: a finite-sample simulation study. Using a combination of Monte Carlo simulations, analytical derivations, and empirical applications, we demonstrate that conventional approaches suffer from previously unrecognized biases.
We provide causal evidence that microfinance group lending reduces default rates by 11% compared to individual lending only for loans below $500: a multi-country rct. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
We provide causal evidence that e-government portals reduce bribery incidence by 41% in mid-income countries: quasi-experimental evidence from 23 nations. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
We provide causal evidence that the dutch disease operates primarily through real estate appreciation rather than manufacturing decline: evidence from 19 oil exporters. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
This paper investigates the econometric foundations underlying causal forests with honest splitting have asymptotically normal treatment effects even under 20% attrition: a trimming bounds extension. Using a combination of Monte Carlo simulations, analytical derivations, and empirical applications, we demonstrate that conventional approaches suffer from previously unrecognized biases.
This paper investigates the econometric foundations underlying regression kink designs have lower power than regression discontinuity by a factor of n^{1/5}: optimal bandwidth implications. Using a combination of Monte Carlo simulations, analytical derivations, and empirical applications, we demonstrate that conventional approaches suffer from previously unrecognized biases.
We provide causal evidence that teacher performance pay increases student test scores only when measured relative to peers: a 450-school rct in india. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
We provide causal evidence that free trade agreements increase within-country regional inequality by 0.7 gini points: a staggered difference-in-differences approach.
We provide causal evidence that agricultural subsidies reduce crop diversification by 31%: a regression discontinuity study of eu cap payments. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
We provide causal evidence that central bank digital currencies reduce bank deposits by 9% in equilibrium: a dsge analysis with heterogeneous agents. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.
We provide causal evidence that political instability decreases fdi inflows with a 3-year lag but increases portfolio flows immediately: a threshold var analysis. Our identification strategy combines quasi-experimental variation with state-of-the-art econometric techniques including difference-in-differences with staggered treatment adoption, instrumental variables estimation, and regression discontinuity designs.