Results 191 to 200 of about 5,054 (268)

Counterfactual thinking: an fMRI study on changing the past for a better future. [PDF]

Soc Cogn Affect Neurosci, 2013
Van Hoeck N, Ma N, Ampe L, Baetens K, Vandekerckhove M, Van Overwalle F.   +5 more
europepmc   +1 more source

Gender Differences in Risk Preferences: Implications for Adoption of Climate Smart Agricultural Technologies

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT The gender gap in risk preferences in rural farm households, with female farmers commonly viewed as more risk‐averse than their male counterparts, may have profound implications for addressing the gendered impacts of climate change. Understanding these gender differences and their drivers is essential for designing policies that enhance ...
Abebe Hailemariam, Jaslin Kalsi, Astghik Mavisakalyan   +2 more
wiley   +1 more source

Trait self-responsibility modulates neural responses to near-miss loss: an ERP study. [PDF]

Front Hum Neurosci
Jin X, Yin H.
europepmc   +1 more source

The Feasibility of Household Food Waste Reduction in Finland: Insights From Five Consumer Profiles

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT We apply a household production framework to analyse how changes in cooking skills, waste‐abatement costs and wage rates influence the food waste behaviour of five consumer profiles in Finland. We find that achieving a given reduction in food waste through skill‐enhancing interventions induces larger behavioural adjustments than equivalent ...
Aino Friman, Dušan Drabik
wiley   +1 more source

Comparing the success and failure of the Murray–Darling Basin Plan's water recovery programs

Australian Journal of Public Administration, EarlyView.
Abstract The Murray–Darling Basin (MDB) Plan is held up by some as an exemplar for world‐leading water policy, whilst others have called it a failure. Total proposed recovery was to return 3200 GL of consumptive (e.g. namely irrigation) water use to non‐consumptive (e.g.
Sarah Ann Wheeler
wiley   +1 more source

Causal Inference Without Complete Information: A Closed‐form Solution

British Journal of Management, EarlyView.
Abstract Understanding the effect of certain factors or interventions is the objective of many researchers and decision‐makers. However, when using quantitative analyses for this purpose, it is virtually impossible to include all relevant data, which often leads to biased coefficients that only indicate correlation rather than effect.
Fernando Moreira
wiley   +1 more source

Perceived Determinants of Excellent Self-Rated Health Among HIV Virally Suppressed Adults in the Eastern Cape Province, South Africa. [PDF]

Int J Environ Res Public Health
Nomatshila ZB, Gonah L, Nomatshila SC, Apalata TR.   +3 more
europepmc   +1 more source

The Problem With Efficiency as a Pervasive Principle in Business School Academia, and What a Sufficiency‐Based Approach Can Do Better

British Journal of Management, EarlyView.
Abstract Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well‐being and natural resources, business ...
Stephan M. Schaefer, Christopher Wickert
wiley   +1 more source

Different Process, Different Outcomes: A Response to Cowley, Webb and Bale

The Political Quarterly, EarlyView.
Abstract This paper responds to Cowley, Webb and Bale's critique of our paper on sortition, parties and political careers. Cowley et al. argue that within‐party sortition will not increase parliamentary descriptive representation (PDR). We largely agree with that claim, which was not the focus of our original paper.
Keith Dowding, William Bosworth, Adriano Guiliani   +2 more
wiley   +1 more source

From Estimation to Discrimination: Algorithmic Bias, Predictive Uncertainty, and Anti‐Discrimination Law

The Modern Law Review, EarlyView.
Machine learning (ML) systems, increasingly deployed in high‐stakes decision‐making, inherently produce uncertain outputs that can lead to unlawful discrimination. This article provides the first legal analysis of how predictive uncertainty in ML systems interacts with UK anti‐discrimination law under the Equality Act 2010.
Holli Sargeant
wiley   +1 more source