Physical Sciences and Mathematics Commons^™

欠測値補定の診断手法としての多重代入法(高橋将宜), Masayoshi Takahashi

Masayoshi Takahashi

No abstract provided.

Network Analysis Of World Trade Using The Baci-Cepii Dataset, Luca De Benedictis, Silvia Nenci, Gianluca Santoni, Lucia Tajoli, Claudio Vicarelli

Luca De Benedictis

In this paper we explore the BACI-CEPII database using Network Analysis. Starting from the visualization of the World Trade Network, we then define and describe the topology of the network, both in its binary version and in its weighted version, calculating and discussing some of the commonly used network’s statistics. We finally discuss some specific topic that can be studied using Network Analysis and International Trade data, both at the aggregated and sectoral level. The analysis is done using multiple software (Stata, R, and Pajek). The scripts to replicate part of the analysis are included in the appendix, and can …

Purchasing Nonprescription Contraceptives: The Underlying Structure Of A Multi-Item Scale, Chris Manolis, Robert Winsor, Sheb True

Robert D. Winsor

The authors develop a multi-item scale measuring attitudes associated with purchasing nonprescription contraceptives. Although contraceptives represent a common as well as consequential purchase for many people, published research has not addressed measures of attitudes associated with this purchase decision. A scale development method is presented measuring both male and female consumer attitudes toward purchasing contraceptives. Ultimately, a multi-item scale demonstrating a high degree of invariance across 2 samples (men and women) is developed.

From Amazon To Apple: Modeling Online Retail Sales, Purchase Incidence And Visit Behavior, Anastasios Panagiotelis, Michael S. Smith, Peter Danaher

Michael Stanley Smith

In this study we propose a multivariate stochastic model for website visit duration, page views, purchase incidence and the sale amount for online retailers. The model is constructed by composition from carefully selected distributions, and involves copula components. It allows for the strong nonlinear relationships between the sales and visit variables to be explored in detail, and can be used to construct sales predictions. The model is readily estimated using maximum likelihood, making it an attractive choice in practice given the large sample sizes that are commonplace in online retail studies. We examine a number of top-ranked U.S. online retailers, …

The Cobden-Chevalier Effect: Evaluating The Causal Effect Of The Most Favoured Nation Clause In Presence Of Network Interdependence, Luca De Benedictis, Silvia Nenci

Luca De Benedictis