Determinants of household saving and portfolio choice behaviour in Turkey

2013 ◽  
Vol 63 (3) ◽  
pp. 309-331 ◽  
Author(s):  
Halime Temel Nalın
Keyword(s):  
Portfolio Choice ◽  
Capital Market ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Choice Behaviour ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Household Saving ◽  
Education Levels ◽  
Model Support

This study investigates the determinants of Turkish households’ saving and portfolio choice behaviour for the period of 2002–2006. The dataset includes 59,855 households, of whom only 10,829 report to have saved and invested. Hence, we first estimate a logit model to identify the characteristics of the households that have saved. Next, we estimate a multinomial logit model where the investment alternatives for the households are real estate, gold, foreign exchange, bank accounts, capital market investments, and investing into own business. The factors affecting the portfolio choices are the variables representing various aspects of households’ demographic, socioeconomic and residential location characteristics. The inflation level nearly doubled during the study period in Turkey. Hence, we also analyse the effects of inflation on households’ saving and portfolio choice decisions. The results of our logit model support the view that the inflation can increase the household savings on condition that the other macroeconomic factors are constant. Furthermore, inflation is also found to increase the probability of investing in capital market instruments. Households’ incomes, education levels, occupation, place of residence (rural/urban), car ownership and household size are found to be significant variables in explaining the variation in households’ saving and portfolio choice behaviour.

scholarly journals Factors affecting packed and unpacked fluid milk consumption

2009 ◽  
Vol 55 (No. 11) ◽  
pp. 557-563
Author(s):  
O. Kilic ◽  
C. Akbay ◽  
G. Yildiz Tiryaki
Keyword(s):  
Logit Model ◽  
Household Head ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Milk Consumption ◽  
Consumer Survey ◽  
Factors Affecting ◽  
Female Household Head ◽  
Consumer Survey Data ◽  
Fluid Milk

This article identifies consumer characteristics associated with preferences toward fluid milk alternatives. Using consumer survey data from Samsun province of Turkey and Multinomial Logit model, unpacked and packed fluid milk preferences were analyzed. Based on the results, 14.1% of respondents consumed only unpacked fluid milk, 58.2% consumed only packed fluid milk and 27.7% of respondents consumed both unpacked and packed fluid milk at least once a weak. Multinomial Logit model results indicated that better educated household head, higher income households, younger and female household head and people who agree with “unpacked milk is not healthy” consume more packed fluid milk than do others. Moreover, consumers who agree with statement “price of packed milk is expensive compare to unpacked milk” were less likely to consume packed fluid milk than do others.

scholarly journals Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jaeyoung Lee ◽  
Xing Li ◽  
Suyi Mao ◽  
Wen Fu
Keyword(s):  
Logit Model ◽  
Random Parameter ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Contributing Factors ◽  
Traffic Crashes ◽  
Factors Affecting ◽  
Effective Strategies ◽  
Traffic Violations ◽  
Afternoon Peak

This study investigates contributing factors to traffic violations by seriousness. The traffic violations are divided into four categories by seriousness (unintentional violation, minor violation, serious violation, and crash with violation). The results of the random parameter multinomial logit model indicate that various factors potentially affect the severity of traffic violations. The key findings include the following: (1) female drivers are more likely to commit minor violations; (2) drivers from an area with a longer travel time to work and a higher proportion of driving to work are more likely to have minor violations and serious violations, while those from the high-income area are less likely; (3) drivers are more likely to be associated with a more minor infraction during the afternoon peak (4 p.m.–6 p.m.). The results from this study are expected to be beneficial for policymakers and traffic police to comprehend the factors affecting violations and implement effective strategies to minimize the number and seriousness of traffic violations.

Demographics and Saving Behavior of Households in Rural Areas of Vietnam: An Empirical Analysis

2013 ◽  
pp. 5-18
Author(s):  
Minh Nguyen Thi ◽  
Nhat Nguyen Hong ◽  
Anh Trinh Trong ◽  
Duc Phung Minh ◽  
Son Le Thai
Keyword(s):  
Rural Areas ◽  
Data Model ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Household Savings ◽  
Household Saving ◽  
Life Cycle Theory ◽  
Saving Behavior ◽  
And Gender ◽  
The Impact

This paper studies the saving behavior of rural households in Vietnam from two aspects: volume of savings and methods of saving. Two econometric models are conducted, the first one is a panel data model, used to examine the determinants of household saving; and the second one is a multinomial logit model used to investigate how a household chooses the way to save. Both models are based on the life cycle theory of saving and the permanent income hypothesis. We find that the household head’s age, education and gender are closely related to their saving behavior. And the impact of these variables takes different patterns between the two models. The results are useful for further research in forecasting household savings as well as in micro finance to find a better way of serving people who live in rural areas.

scholarly journals Child labor in Colombia: factors affecting the selection of economic activity

2021 ◽  
Vol 24 (2) ◽  
Author(s):  
Josefa Ramoni-Perazzi ◽  
Giampaolo Orlandoni-Merli ◽  
Laura Castillo-Paredes ◽  
Jesús Alberto Peña Guillén
Keyword(s):  
Child Labor ◽  
Economic Activity ◽  
Logit Model ◽  
Urban Areas ◽  
Multiple Correspondence Analysis ◽  
Descriptive Analysis ◽  
Personal Characteristics ◽  
Multinomial Logit Model ◽  
Factors Affecting ◽  
Selection Of

The aim of this research was to determine whether child labor in Colombia’s urban areas shows specific characteristics and backgrounds once it is divided by economic activity. The descriptive analysis was based on basic statistics and multiple correspondence analysis, and the probability of working was modeled through a logit model. Finally, a multinomial logit model was applied to consider the six most common economic activity sectors these children work at. The evidence suggests that the probability of a particular type of work is affected by personal characteristics and lifestyles.

Concentrate feeding to dairy cattle: Adoption statusand factors affecting its adoption in India

2016 ◽  
Author(s):  
Prakashkumar Rathod ◽  
Mahesh Chander ◽  
Dwaipayan Bardhan
Keyword(s):  
Data Collection ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Primary Data ◽  
Dairy Farmers ◽  
Chi Square ◽  
Factors Affecting ◽  
Technology Generation ◽  
Significant Difference ◽  
Adequate Representation

An attempt was made to study the adoption status of concentrate feeding and to identify factors affecting its adoption in India through primary data collection from 360 dairy farmers. The study revealed that majority of the respondents had not adopted this practice, followed by full and partial adoption in the study area. Further, the study also pointed out that about 21 per cent farmers adopted concentrate feeding since 3-6 years, while about 19 per cent farmers had adopted the practice from 6-9 years. The adoption status revealed that there was highly significant difference across the states for concentrate feeding in dairying. Multinomial logit model depicted the Chi-square value of 144.84 indicating that the model was highly significant (p<0.001). The study suggested that researchers and extension experts need to make farmers more aware about the benefits of concentrate feeding to improve productivity in the dairy sector. Further, the scientists have to analyse the problems of dairy farmers and find suitable solutions for higher diffusion and adoption at field conditions by participatory technology generation and transfer approach with adequate representation of farmers so that their feedback can be taken into consideration.

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