Results 181 to 190 of about 16,026 (302)

Gaming behavior changes in families: Mothers and children during the COVID‐19 pandemic

open access: yesFamily Relations, EarlyView.
ABSTRACT Objective We examined changes in gaming behavior among families with young children during the COVID‐19 pandemic and their association with pre‐pandemic media use types and family climate. Background The pandemic reshaped families' mediatized daily lives.
Simone Schüller   +4 more
wiley   +1 more source

Ethnicity, gender, and social class in Honduras: an analysis using the permanent household survey. [PDF]

open access: yesFront Sociol
Ney Simons S   +6 more
europepmc   +1 more source

Speed Bump and Stock Market Quality: Evidence From NYSE American

open access: yesFinancial Management, EarlyView.
ABSTRACT Should trading speed of high‐frequency traders be regulated? Using the data from the New York Stock Exchange American, this paper examines the impact of a speed bump on market liquidity and price discovery. Our results indicate that the use of a speed bump can lower the costs of adverse selection through reducing informed trading.
Bo Liu, Ke Xu
wiley   +1 more source

Use and Trust of Digital and Traditional Media Among Recreational Anglers in Germany: Findings From a Nationwide Survey

open access: yesFisheries Management and Ecology, EarlyView.
ABSTRACT Data on recreational fisheries are often limited, and scientists increasingly use digital platforms to collect information otherwise difficult to obtain. Using telephone‐diary survey data, this study examines angling‐related media use (face‐to‐face communication, angling magazines, TV or radio, YouTube, messenger services, social media, other ...
Wolf‐Christian Lewin   +2 more
wiley   +1 more source

A Horse Race of Machine‐Learning Methods to Predict Banking Crises

open access: yesInternational Finance, EarlyView.
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley   +1 more source

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