Results 121 to 130 of about 6,754 (267)

Induced abortion in the world: 3. In search of a minimum common ground

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract The rising worldwide trend toward legalization of termination of pregnancy has been accompanied by increased polarization around abortion. Two opposite broad coalitions emerged from this confrontation, generally known as the “pro‐life” and “pro‐choice” movements. The basic issue for pro‐life advocates is that the protection of “innocent, human
Giuseppe Benagiano   +4 more
wiley   +1 more source

Revisiting the Impact of Foreign Direct Investment on Crime: A Global Analysis

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT Drawing upon extensive literature on Foreign Direct Investment (FDI) spillovers, we hypothesize that FDI inflow represents a double‐edged sword with respect to crime in host countries. On one hand, FDI can contribute to economic growth and social well‐being by infusing capital and knowledge into the host countries, thereby potentially ...
Yuan Chen   +3 more
wiley   +1 more source

Why Motive Matters: The Appraisal of Criminal Aims. [PDF]

open access: yesBehav Sci (Basel)
Williams KEG, Votruba AM, Eagle RS.
europepmc   +1 more source

Land Use Policy and Racial Segregation

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley   +1 more source

Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley   +1 more source

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