Results 151 to 160 of about 14,306 (259)

Opening the Door Wider to Community Support of People With Serious Mental Illnesses: What States Can Learn From the IDD Experience

open access: yesThe Milbank Quarterly, EarlyView.
Policy Points The federal government should provide states with authorities under Medicaid that allow greater use of home and community‐based services for people with serious and persistent mental illness. This requires deemphasizing authorities that require budget neutrality in a post‐institutionalization world (Section 1115 waivers) and relying on ...
HAROLD POLLACK   +2 more
wiley   +1 more source

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

open access: yesEconomic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

open access: yesReal Estate Economics, EarlyView.
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley   +1 more source

Demand Estimation with Text and Image Data

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani   +2 more
wiley   +1 more source

Spatial signatures of group cohesion

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Wildlife populations are undergoing unprecedented changes to their spatial distributions as a result of human activities. Innovative approaches are needed to document these changes, especially in cases where sampling is sparse. Here, we contribute to the tools available in spatial ecology by developing novel metrics based on the coefficient of
Nicola E. Love, Sarah P. Otto
wiley   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard   +2 more
wiley   +1 more source

What exploitation is

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract We experimentally elicit views of what exploitation is from over 2,000 subjects. Our experimental design does not test existing theories of exploitation. Rather, it focuses on more fundamental properties that are the building blocks for these theories.
Benjamin Ferguson   +3 more
wiley   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

Power priors for latent variable mediation models under small sample sizes

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen   +2 more
wiley   +1 more source

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