scholarly journals The income elasticity of lottery revisited: a worldwide perspective

2021 ◽  
Vol 10 (4) ◽  
pp. 403-407
Author(s):  
Levi Pérez ◽  
Álvaro Muñiz
Keyword(s):  
Panel Data ◽  
Income Distribution ◽  
Quantile Regression ◽  
Significant Variation ◽  
Income Elasticity ◽  
Aggregate Demand ◽  
Demand Functions ◽  
Income Elasticities ◽  
World Regions ◽  
Regression Approach

Using panel data information from The WLA Global Lottery Data Compendium this paper estimates aggregate demand functions for lottery tickets in order to examine variation in the income elasticity of lottery tickets worldwide. The analysis uses a panel data quantile regression approach. The estimated elasticities are compared across income quartiles and world regions. The results provide evidence that a significant variation in the income elasticities across both geographic areas and the income distribution exists. Also, a clear heterogeneity in the incidence of lottery expenditures is observed. Overall, it is found that lottery is a normal good.

Struktur und Ausmaß der intergenerationalen Einkommensmobilität in Deutschland / Structure and Extent of Intergenerational Income Mobility in Germany

2009 ◽  
Vol 229 (4) ◽  
Author(s):  
Daniel Schnitzlein
Keyword(s):  
Income Distribution ◽  
Quantile Regression ◽  
Detailed Analysis ◽  
Income Elasticity ◽  
Income Mobility ◽  
Transition Matrices ◽  
Intergenerational Income Mobility ◽  
Regression Approach ◽  
Using Data ◽  
High Level

SummaryThe paper examines the structure and the extent of intergenerational income mobility in Germany. Using data from the German Socio-economic Panel it is possible to look at both, father-son and father-daughter pairs. In the present case the intergenerational income elasticity is 0.26 for father-son pairs and 0.36 for father-daughter pairs. A more detailed analysis is carried out, applying a quantile regression approach. In a third step I estimate the transition matrices of sons. Although there is some persistence at both ends of the income distribution, the results show a high level of intergenerational mobility in Germany.

scholarly journals Income elasticity of demand within individual consumer groups and the level of income elasticity of the entire market demand 

2012 ◽  
Vol 52 (No. 9) ◽  
pp. 412-417
Author(s):  
P. Syrovátka
Keyword(s):  
Consumer Behaviour ◽  
Income Elasticity ◽  
Meat Products ◽  
Market Demand ◽  
Demand Functions ◽  
Elasticity Of Demand ◽  
Income Elasticities ◽  
Aggregation Equation ◽  
Application Potential ◽  
Income Elasticity Of Demand

The paper is focused on the derivation of the mathematical relationship among the income-elasticity level of the entire market demand and the income-elasticity values of the demand functions of the consumers’ groups buying on the defined market. The determination of the mathematical term was based on the linearity of the relevant demand functions. Under the linearity assumption, the income elasticity coefficient of the entire market demand equals the weighted sum of the income-demand elasticities of the differentiated consumer groups buying on the given market. The weights in the aggregation formula are defined as the related demand shares, i.e. as the proportions of the groups’ demands to the entire market demand. The derived aggregation equation is quite held if no demand interactions (e.g. the snob or fashion effect) are recorded among differentiated consumers’ groups. The derived formula was examined by using empirical data about the consumer behaviour of Czech households in the market of meat and meat products (Czech Statistical Office). However, the application potential of the achieved term for the income-elasticity aggregations is much broader within the consumer-behaviour analysis. In addition to the subject aggregations of the demand functions, we can also apply the derived formula for the analysis and estimations of the income elasticities within the demand-object aggregations, i.e. the multistage analysis of the income elasticity of consumer demand. Another possibility of the use of the aggregation equation is for the evaluations and estimations of the income elasticity of the region-demand functions in relation to the subregions’ demands or reversely.

scholarly journals Intergenerational Income Mobility in Taiwan: Evidence from TS2SLS and Structural Quantile Regression

2015 ◽  
Vol 15 (1) ◽  
pp. 257-284 ◽  
Author(s):  
Kamhon Kan ◽  
I-Hsin Li ◽  
Ruei-Hua Wang
Keyword(s):  
Quantile Regression ◽  
Regression Models ◽  
Time Trend ◽  
Income Elasticity ◽  
Income Mobility ◽  
Income Shocks ◽  
Cross Sectional ◽  
Fast Growing ◽  
Income Elasticities ◽  
Intergenerational Income Mobility

Abstract We estimate intergenerational income mobility in Taiwan, employing repeated cross-sectional data. We find that the father–son, father–daughter, mother–son and mother–daughter income elasticities-at-40 are around 0.18, 0.23, 0.50 and 0.54, respectively. Moreover, the mother–child income elasticity increases slightly over children’s birth year, while the father–child elasticity is stable, but we do not find any time trend in elasticities. Since mean-regression results may not be informative in fast growing economies, we estimate relative mobility via structural quantile regression models. The results indicate that parents’ income affects children’s income mainly through the propagation of children’s income shocks, rather than affecting the level directly.

scholarly journals Determinants of capital structure of listed firms in Vietnam: A quantile regression approach

2017 ◽  
Vol 24 (02) ◽  
pp. 114-131
Author(s):  
Canh Nguyen Thi ◽  
Liem Nguyen Thanh ◽  
Son Tran Hung
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Quantile Regression ◽  
Linear Relationship ◽  
Firm Characteristics ◽  
Conditional Quantile ◽  
Listed Firms ◽  
Panel Data Methods ◽  
Regression Approach ◽  
Different Levels

This study empirically examines the link between firm characteristics and leverage using the data of Vietnamese non-financial listed firms from 2006 to 2015. In addition to traditional panel data methods, we employ a conditional quantile regression that unveils the behavior of regressors throughout the leverage distribution. The results confirm the non-linear relationship between firm characteristics and leverage at different levels of debt.

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