Showing 1 - 10 of 2,682
We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy measurements, balancing the information content of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the race and gender...
Persistent link: https://www.econbiz.de/10014528353
features. It produces continuous food security estimates and measures of estimation uncertainty at the household level. Unlike … latent trait estimation. We observe overlap in BGRM estimates across USDA-defined food security categories and significant …
Persistent link: https://www.econbiz.de/10014544738
In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the conceptually distinct econometric problems that arise from truncated samples and from models with limited dependent variables. The problem of sample selection bias is fit within...
Persistent link: https://www.econbiz.de/10012478957
The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the...
Persistent link: https://www.econbiz.de/10014544801
We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and European Union disaggregate data. Our approach allows us to accurately estimate both the number and timing of breaks in the Phillips curve. It further allows us to determine the...
Persistent link: https://www.econbiz.de/10014250170
Many personal and policy decisions turn on perceptions of school effectiveness, defined here as the causal effect of attendance at a particular school or set of schools on student test scores and other outcomes. Widely-disseminated school ratings frameworks compare average student achievement...
Persistent link: https://www.econbiz.de/10013477275
Sparse models, though long preferred and pursued by social scientists, can be ineffective or unstable relative to large models, for example, in economic predictions (Giannone et al., 2021). To achieve sparsity for economic interpretation while exploiting big data for superior empirical...
Persistent link: https://www.econbiz.de/10014322811
: randomized controlled trials (RCT) and structural estimation. The RCT provides a "gold-standard'' estimate of a particular … treatment, but only of that treatment. Structural estimation provides the capability to extrapolate beyond the experimental … out from the structural estimation exercise either the treatment or control sample allows for external validation of the …
Persistent link: https://www.econbiz.de/10012459096
-Gaussian DSGE models by sampling the joint likelihood of parameters and latent states. We show that the gradient-based joint … likelihood sampling approach is superior in efficiency and robustness to standard Metropolis-Hastings samplers by estimating a …
Persistent link: https://www.econbiz.de/10013435135
estimation methods, based on the generalized method of moments (GMM), which make use of all available data for each moment …
Persistent link: https://www.econbiz.de/10012464236