Demand Elasticities In Turkey

Özer, Hüseyin

doi:10.11130/jei.2003.18.4.837

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…Engel's curve function can generally be described as equation ( 3). In this simple equation of the Engel curve, y is the household expenditure that is influenced by x, which is the total expenditure or income level, and z, which is the demographic factor of the household (Abdel-Ghany & Schwenk, 1993;Abdel-Ghany & Sharpe, 1997;Ozer, 2003;Mien & Said, 2018).…”

Section: Methodsmentioning

confidence: 99%

“…Household income is a factor that directly impacts transportation expenses (Chitnis & Hunt, 2011;Manajit et al, 2020;Mien & Said, 2018;Ong et al, 2008;Ozer, 2003;Rashid et al, 2018;Wahab et al, 2018). An increase in income was found to stimulate transportation expenditure.…”

Section: 6mentioning

confidence: 99%

“…A study of transportation expenditure in Malaysia found a change in the structure of Malaysian household expenditure due to changes in income levels based on income elasticity values that vary from year to year (Mien & Said, 2018). Transportation is classified as a luxury item based on the study of Mien & Said (2018); Ozer (2003); Yusof & Duasa (2010), but the study of Wahab et al (2018) found that transportation expenses are classified as necessities for Malaysian households. The income elasticity of transportation expenditure also differs based on the subgroup of household income, where transportation is classified as a necessity item for M40 and T20 households, on the other hand, for B40 households, transportation is a luxury item with an income elasticity value of more than 1.…”

Section: 6mentioning

confidence: 99%

“…A report on household spending by the Department of Statistics Malaysia states that the highest spending categories are food, housing, and transportation. A high proportion of expenditures represent the significance of those expenditures group for households (Wongmonta, 2020;Wahab et al, 2018;Ozer, 2003;Latimaha et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Living Style and Cost of Living: A Cross-Section Analysis of B40 Households in Malaysia

Ismail,

Daud,

Mohd

et al. 2023

MAJCAFE

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The cost of living has become an economic problem for everyone. Studies on the cost of living often connect income and inflation as the cost of living factors. This study aims to look from a different perspective by analysing the influence of lifestyle on the household cost of living in Malaysia. Lifestyle changes are one effect that arises from changes in household income and living standards. Households’ arrangement of upgrading basic needs by consuming more expensive and better-quality goods is defined as lifestyle and it is determined using household income elasticities. This study uses the Malaysian Household Expenditure Survey (HES) 2016 data. Engel’s Curve theory is applied to explain the relationship of household expenditure across income groups. Using the OLS regression model, income and expenditure elasticities are estimated. This study discovered that households had an increased rate of expenditure on basic needs more than income increases and we conclude that lifestyle affects the cost of living. Transportation expenditures represent the most significant lifestyle change influencing the cost of living among B40 households. Based on the findings, the researchers suggest that the government encourage a sustainable lifestyle based on specific expenditure groups to control household living costs.

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Section: Methodsmentioning

confidence: 99%

Section: 6mentioning

confidence: 99%

Section: 6mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Living Style and Cost of Living: A Cross-Section Analysis of B40 Households in Malaysia

Ismail,

Daud,

Mohd

et al. 2023

MAJCAFE

View full text Add to dashboard Cite

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“…The household consumption patterns differ across households and across time because of the differences in income, prices and all such attributes that determine households' preferences. Various studies have emphasized, on the basis of empirical analysis, that own price of good or service, prices of other goods and services and income of the households are the most dominant factors of demand; for example, Massell (1969), Hay and Sinha (1972), Ray (1982), Yen and Jensen (1996), Burki (1997), Ozer (2003), Ahmad and Arshad (2007), Ekholm et al (2010) and Aziz and Malik (2010).…”

Section: Introductionmentioning

confidence: 99%

Household Demand Analysis for Pakistan: Recent Evidence

Sher¹

2021

Forman J. Econ. Stud.

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The objective of this study is to analyze household demand system for Pakistan by estimating various elasticities of demand. This study combines nine different rounds of Household Integrated Economic Survey data to estimate Almost Ideal Demand System (AIDS). Household level data are supplemented with rich price information available for all the twelve months of the nine years. This approach yields efficient estimates of income and price elasticities, which are non-linear combinations of the parameters of AIDS. Standard errors for all the elasticity estimates are computed on the basis of Monte-Carlo simulations. The results show that household demand responses to income changes are similar between rural and urban households, while the response to price changes differ considerably. On average, rural households are found to be more responsive to price changes than the urban households. The study recommends that on equity grounds transport and communication and miscellaneous non-food goods and housing can be taxed more heavily as compared to other goods.

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Engel Yasası’nın Türkiye Sınaması ve Gıda Talebinin Gelir Esnekliği: Gıda Harcamalarının Bütçe Payının Hane Profili ve Toplam Harcama ile İlişkisi (2003-2013)

Aykaç

2018

Sosyoekonomi

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This study set out to test the Engel-Law for the food expenditures in Turkey for 2003-2013 period and to estimate the income elasticity of food demand controlling the demographic characteristics of the households. Household Budget Survey data is used for the quantile regression estimation of the Working-Leser model. The results show that the income elasticity of food demand is between 0.62-0.79 for the period. The elasticity is smaller for the conditional quantiles of higher budget share of food. The findings include the relationships of the budget share of food with the age, education, and social security coverage of the household heads as well as with the household's urban/rural location. The probable effects of the 2008 economic crisis also appears in the findings.

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Demand Elasticities In Turkey

Abstract: Abstract• JEL Classifications: C31, D12•

Cited by 3 publications

References 16 publications

Living Style and Cost of Living: A Cross-Section Analysis of B40 Households in Malaysia

Living Style and Cost of Living: A Cross-Section Analysis of B40 Households in Malaysia

Household Demand Analysis for Pakistan: Recent Evidence

Engel Yasası’nın Türkiye Sınaması ve Gıda Talebinin Gelir Esnekliği: Gıda Harcamalarının Bütçe Payının Hane Profili ve Toplam Harcama ile İlişkisi (2003-2013)

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