A Stochastic Multi-Stage Mobility Choice Model

1985 ◽  
pp. 132-147 ◽  
Author(s):  
Giorgio Leonardi
Keyword(s):  
Choice Model ◽  
Multi Stage

Political Attitudes and Behaviour in a Non-Partisan Environment: Toronto 2014

2016 ◽  
Vol 49 (2) ◽  
pp. 311-333 ◽  
Author(s):  
R. Michael McGregor ◽  
Aaron A. Moore ◽  
Laura B. Stephenson
Keyword(s):  
Choice Model ◽  
Vote Choice ◽  
Valuable Insight ◽  
Individual Level ◽  
Voter Preferences ◽  
Multi Stage ◽  
Mayoral Election ◽  
Level Data ◽  
Municipal Level ◽  
Insight Into

AbstractVoting behaviour in municipal elections is understudied in Canada. Existing research is limited by the type of data (aggregate instead of individual-level) and the cases evaluated (partisan when most contests are non-partisan). The objective of this study is to contribute to this literature by using individual-level data about a non-partisan election. To do so, we use data from the Toronto Election Study, conducted during the 2014 election. Our research goals are to evaluate whether a standard approach to understanding vote choice (the multi-stage explanatory model) is applicable in a non-partisan, municipal-level contest, and to determine the correlates of vote choice in the 2014 Toronto mayoral election in particular. Our analysis reveals that, although it was a formally non-partisan contest, voters tended to view the mayoral candidates in both ideological and partisan terms. We also find that a standard vote choice model provides valuable insight into voter preferences at the municipal level.

Determinants of credit rationing among rural farmers in developing areas

2019 ◽  
Vol 79 (2) ◽  
pp. 158-173 ◽  
Author(s):  
Yusuf Ibrahim Kofarmata ◽  
Abubakar Hamid Danlami
Keyword(s):  
Agricultural Sector ◽  
Choice Model ◽  
Sampling Technique ◽  
Credit Rationing ◽  
Multinomial Logit Model ◽  
Integrated System ◽  
Agricultural Credit ◽  
Content Type ◽  
Rural Farmers ◽  
Multi Stage

Purpose The purpose of this paper is to model credit rationing among farmers in rural developing areas, based on micro level data of Kano State, Nigeria. Design/methodology/approach A total of 835 households and 45 microfinance banks were utilized as the samples of the study which were selected using multi-stage stratified sampling technique. Multinomial logit model was used to estimate the factors that determine credit rationing among the rural farmers in Nigeria. Findings The result of the discrete choice model shows that farmers who are either being engaged in subsistence farming or trading have a significant effect on credit rationing with the greatest impacts found on the farm profit and farmers’ location. Research limitations/implications This study failed to carry out a dynamic analysis regarding agricultural credit rationing. Also, it is well known that formal credit interacts with informal credit sector; nevertheless, this interaction was unaccounted for in this study. Therefore, future studies can expand the scope of this research to account for this interaction. In fact, investigating heterogeneity among credit providers will be an important topic in the future. Practical implications Clear and sound policies are required for the establishment of new agencies and financial institutions devoted to agricultural sector. Similarly, an integrated system of forward-looking policies based on tax and subsidy-regimes to augment desired incentives for private financial sector and NGOs to lend money to the farmers are needed. Originality/value Consistent with risk-balancing theory, the good story for farmers is that profit making farmers are less likely to be among the constrained borrowers. It turned out from the credit rationing model that urban farmers had a greater chance of being successful applicants in the Nigerian agricultural credit market. In comparison to farmers at periphery, urban residents are less likely to be associated with being constrained borrowers.

Planning and Search in Multi-Stage Risky Decision Making

2011 ◽  
Author(s):  
Jared Hotaling ◽  
Jerry Busemeyer ◽  
Richard Shiffrin
Keyword(s):  
Decision Making ◽  
Risky Decision Making ◽  
Risky Decision ◽  
Multi Stage

Self-Congruity and Social Visibility in Hotel Brand Choice--Model

2019 ◽  
Author(s):  
Na Su ◽  
Yaou Hu ◽  
Hyounae (Kelly) Min
Keyword(s):  
Choice Model ◽  
Brand Choice ◽  
Social Visibility

Effects of Cooking Oil Subsidy Removals on Related Markets in Malaysia: A Comparative Static, Multicommodity, Multi Stage Production Approach

2011 ◽  
Author(s):  
Jamal Othman ◽  
Yaghoob Jafari
Keyword(s):  
Equilibrium Model ◽  
Comparative Statics ◽  
Partial Equilibrium ◽  
Cooking Oil ◽  
Multi Stage ◽  
Supply Factor ◽  
Partial Equilibrium Model ◽  
Factor Markets ◽  
Input Markets ◽  
Production Approach

Malaysia is contemplating removal of most of her subsidy support measures including subsidies on cooking oil which is largely palm oil based. This paper aims to examine the effects of cooking oil subsidy removals on the competitiveness of the oil palm subsector and related markets. This is done by developing and applying a comparative static, multi-commodity, partial equilibrium model with multi-stages of production function for the Malaysian perennial crops subsector which explicitly links different stages of production, primary and intermediate input markets, trade, and policy linkages. Results partly suggest that export of cooking oil will increase by 0.2 per cent due to a 10 per cent cooking oil subsidy reduction, while domestic output of cooking oil may eventually see a net decline of 1.97 per cent. The results clearly point out that the effect of reducing cooking oil subsidies is relatively small at the upstream levels and therefore it only induces minute effects on factor markets. Consequently, the market for other agricultural crops is projected to change very marginally.   Keywords: Multicomodity, comparative statics, partial equilibrium model, output supply-factor markets linkages, effects of cooking oil subsidy removals.

IMPACT ASSESSMENT OF AGRICULTURAL TRANSFORMATION PROJECT ON PRODUCTIVITY AND POVERTY AMONG RICE FARMERS IN KANO STATE, NIGERIA.

2020 ◽  
Vol 4 (2) ◽  
pp. 392-400
Author(s):  
O. S. Balogun ◽  
M. A. Damisa ◽  
O. Yusuf ◽  
O. L. Balogun
Keyword(s):  
Sampling Method ◽  
Insect Pests ◽  
Study Data ◽  
Average Treatment Effect ◽  
Descriptive Statistics ◽  
Rice Farmers ◽  
Agricultural Transformation ◽  
Multi Stage ◽  
Significant Difference ◽  
Late Model

The study was carried out to examine the effect of agricultural transformation on the beneficiary’s productivity and poverty of rice farmers in Kano State Nigeria. A multi-stage sampling method was employed to select 571 respondents for the study. Data were collected through structured questionnaires on respondent’s income, input and output quantities as well as their expenditures. Data were analysis using descriptive statistics, Foster-Greer-Thorbecke (FGT), Propensity score matching and LATE model. Results from the study shows that respondents productivity revealed a significant difference of about 127 kg/ha in rice productivity between participants and non-participants. Also, the LATE estimates revealed an average treatment effect ATE0 of about 222.98kg/ha. Furthermore, the project had a significant effect N11, 321.4 on the participant’s consumption expenditure than the non-participants N9980.60. Moreover, participants were, able to increase their household total expenditures by N34780 per annum. Fluctuations of input/output prices insect pests and inadequate extension visits were all the major constraints faced by the farmers. It was recommended that farmers’ information and sensitization system should be overhauled and improved. Also, attention should be given to well organize extension visits for the farmers from stake holders

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