Results 51 to 60 of about 119 (119)
Real estate agents’ collaboration and housing outcomes
Abstract This article examines how collaboration between listing and selling agents influences housing market outcomes and how these effects differ across the institutional environments of conventional and foreclosure (real estate owned [REO]) transactions.
Lu Fang +2 more
wiley +1 more source
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source
Regularized reduced rank regression for mixed predictor and response variables
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel +2 more
wiley +1 more source
Enchanting the Otherwise: Magical Realism and the Gendered Ontologies of Organizational Becoming
ABSTRACT This paper enacts a feminist‐posthumanist reimagining of gender as ontological disturbance, using magical realism not as metaphor but as epistemological method. Rejecting representational logics and the managerial rationalities of organizational realism, we advance gender not as identity or role but as spectral interference—a transversal ...
Max Ganzin, Diana Ivanycheva
wiley +1 more source
The Decentralization of Liquor Policies in Texas During the Post‐Prohibition Era
ABSTRACT We examine the decentralization of liquor policies in Texas during the Post‐Prohibition era using newly collected historical legislative roll call data. By combining these data with local referendum vote shares, we analyze both legislators' and constituents' preferences on liquor policy.
Andrew Arnold, Holger Sieg
wiley +1 more source
Social Status, Inequality, and Redistribution
ABSTRACT We explore implications of social status concerns for redistribution, income inequality, and growth in a political economy framework. Salience of such concerns leads to a propagation mechanism, whereby initial income inequality and reduced willingness to redistribute income reinforce each other, potentially giving rise to multiple steady ...
Mark Gradstein, Luigi Ventura
wiley +1 more source
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method
Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang +2 more
wiley +1 more source

