A Self-consistency Approach to Multinomial Logit Model with Random Effects. [PDF]
Wang S, Tsodikov A.
europepmc +1 more source
Gaming behavior changes in families: Mothers and children during the COVID‐19 pandemic
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]
Ney Simons S +6 more
europepmc +1 more source
Speed Bump and Stock Market Quality: Evidence From NYSE American
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
Comparison of methods to handle missing values in a binary index test in a diagnostic accuracy study - a simulation study. [PDF]
Juljugin D, Stahlmann K, Zapf A.
europepmc +1 more source
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
Measurement and Modeling of Sustainable Food Choice and Purchasing Behavior: A Systematic Review of Methods and Models. [PDF]
Andrade TN, Bolini HMA.
europepmc +1 more source
Stage-specific cancer incidence: an artificially mixed multinomial logit model. [PDF]
Chefo S, Tsodikov A.
europepmc +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
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
Assessing the American public's preferences for reforms to teen driving licensure systems: a discrete choice experiment. [PDF]
Drabo EF, Michael JP, Ehsani JP.
europepmc +1 more source

