A Study on the Factors Affecting Net Wealth: Using Unconditional Quantile Regression

2020 ◽  
Vol 30 (3) ◽  
pp. 23-35
Author(s):  
Hyun Jun Park ◽  
Chang Ha Jin
Keyword(s):  
Quantile Regression ◽  
Factors Affecting ◽  
Unconditional Quantile Regression

scholarly journals The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China

2019 ◽  
Vol 16 (19) ◽  
pp. 3684 ◽  
Author(s):  
Junkai Zhao ◽  
Xinxin Zhang ◽  
Zongmin Li
Keyword(s):  
Cognitive Impairment ◽  
Quantile Regression ◽  
Social Vulnerability ◽  
Positive Association ◽  
The Elderly ◽  
Quantile Regression Model ◽  
Unconditional Quantile Regression ◽  
Quantile Regression Analysis ◽  
Physical Limitations ◽  
The Relationship

As the global proportion of the elderly population has been growing rapidly, it has become important to better understand the holistic social factors involved in cognitive impairment in the elderly. To investigate the relationship between social vulnerability and cognitive impairment in the elderly, this study applied an unconditional quantile regression model on open source health survey data in China. It was used to estimate the relationship for full sample and subsamples divided by different levels of a specific covariate. It was found that the cognitive impairment had a positive association with social vulnerability, and this relationship is stronger at the higher cognitive impairment quantiles. The cognitive impairment of females and elderly who took less exercise; had lower self-rated health; had greater incidences of depression, chronic diseases, and physical limitations; and consumed less fruit and vegetables, milk and tea were more related to social vulnerability. These results provide some insights into the strategies that could be used by the elderly to decrease the risk of cognitive impairment.

Unconditional quantile regression and tourism expenditure: The case of the Canary Islands

2019 ◽  
pp. 135481661989155 ◽  
Author(s):  
Jorge V Pérez-Rodríguez ◽  
Francisco Ledesma-Rodríguez
Keyword(s):  
Quantile Regression ◽  
Canary Islands ◽  
Price Level ◽  
Market Segments ◽  
Unconditional Quantile Regression ◽  
Spending Patterns ◽  
Tourism Expenditure ◽  
The One ◽  
Hotel Accommodation

This article explores the spending patterns of tourists by market segments of expenditure distribution. We focus on the case of the Canary Islands, that is, a region that is one of the main destinations in the European tourism market, and distinguish between expenditure at origin and expenditure at destination. To do this, we use unconditional quantile regression (QR), which is more appropriate than conditional QR for the interpretation of coefficients. The results suggest that spending behaviour is heterogeneous among quantiles of expenditure in terms of income, price, level of loyalty and hotel accommodation effects. Furthermore, some differences arise between the pattern of expenditure at origin and the one at destination, and among items of expenditure at destination.

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