Studies on involuntary pension participation in general and among farmers, in particular, are scanty. Therefore, this paper aims at investigating cocoa farmers' awareness of pension schemes as well as assessing their willingness to participate in a cocoa pension scheme. A sample of 450 cocoa...

This article proposes a method to construct feasible solutions for dial-a-ride problem. Dial-a-ride problem is a routing problem for a set of time-constrained travel requests using a limited number of capacity-constrained vehicles. Obtaining a feasible solution can help identifying an upper...

This study applied a logistic regression model to determine the odds ratio of selecting clean ver- sus unclean energy as the main household fuel choice. This study also undertook to establish the coefficients of the factors determining household fuel energy choice. A large microeconomic dataset...

Identification of multinomial choice models is often established by using special covariates that have full support. This paper shows how these identification results can be extended to a large class of multinomial choice models when all covariates are bounded. I also provide a new...

The aim of this study is to analyze the location decisions of the manufacturing industry companies in the ICI Top 500 and Second Top 500 Industrial Enterprises (ICI-1000) for the year 2018. The location choice model developed accordingly is based on the assumption that companies choose the...

Although psychometric features have been considered for alternative credit scoring, they have not yet been applied to peer-to-peer (P2P) lending because such information is not available on platforms. This study proposed an alternative credit scoring model for P2P lending by extracting typical...

In this study we develop an early warning system (EWS) to forecast currency crises in emerging countries in Asia and Latin America, using logit regression on monthly data from 1992 to 2011. We found that macroeconomic and institutional variables are valuable indicators for forecasting crises....