This study investigates the politico-economic determinants of the crowding-in effects of public investments in a cross-section of 25 developing countries for the 1975-2000 period using multivariate probit analysis. The estimation results show that public fixed capital investments may crowd in private investments, but this still depends on the developments in the economic, political, and legal e...

Binary response regression is a useful technique for analyzing categorical data. Popular binary models use special link functions such as the logit or the probit link. In this article, the inverse link function H is modeled to be a scale mixture of cumulative distribution functions. Two different models for H are proposed: (i) H is a finite normal scale mixture with a Dirichlet distribution pri...

This paper considers the determinants of civil con‡ict, using a zero-in‡ated Poisson modelling approach that deals with the problem of excess zero observations, which we argue are related to two distinct data generation processes. Despite their continued use in the literature, traditional probit and logit models have limited capacity in dealing with this issue and can lead to misleading results...

This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification and fitting of Bradley-Terry logit, probit or cauchit models to paircomparison data. Included are the standard ‘unstructured’ Bradley-Terry model, structured versions in which the parameters are related through a linear predictor to explanatory variables, and the possibility of an order or ‘home ...

Online payments are a critical issue in electronic markets. This research investigates online payment choices using probit and nested logit model based on the survey data we collected from eBay users. We develop a theoretical framework to model payment choices between the trader partners based on risk, convenience and cost dimensions. Then, we analyze how product attributes, traders’ characteri...

Pedestrians are the most vulnerable road users. For evaluating and modifying pedestrian safety in unsignalized crosswalks,the first important issue is to identify and explore factors affecting the interaction behavior of pedestrians andvehicles in conflict areas. By analyzing those factors and determining how they affect road user's behavior, we canrepresent the plans and proc...

Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the dominant models of absenteeism research. This piece compares eight models that may be appropriate for analyzing absence data. Specifically, this p...

Indeks Pembangunan Manusia (IPM) merupakan suatu indikator penting untuk menentukan ketercapaian kualitas hidup manusia. Penelitian ini bertujuan faktor – yang dapat mempengaruhi tingginya angka IPM dengan memodelkan menggunakan model regresi probit dan spasial. Pemodelan menyatakan bahwa variabel berpengaruh hanya satu kemampuan mengelompokkan sebesar 39%. Sementara itu, spasial ada tiga 45%. ...

The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of differences in measurable characteristics to group differences in an outcome of interest. The use of a linear probability model and the standard BlinderOaxaca decomposition, however, can provide misleading estimates when the dependent variable is binary, especially when group differe...