Hanehalklarının Harcamalarını Etkileyen Faktörler: Türkiye Üzerine Mikroekonometrik Bir Çalışma

Kamu politikalarının önemli bir bileşeni olan hanehalkı harcamaları, bireysel ve dolayısıyla toplumsal refahın göstergesidir. Hanehalkı tüketim harcamalarını etkileyen faktörleri bilmek kamu politikaları başta olmak üzere birçok açıdan fayda sağlayacaktır. Bu motivasyon kaynağı ile çalışmanın amacı hanehalklarının tüketim harcamaları belirleyicilerini mikroekonometrik bir bakış açısıyla incelemektir. Bu amaç doğrultusunda çalışmanın veri seti Türkiye İstatistik Kurumu Hanehalkı Bütçe Anketi aracılığıyla elde edilmiştir ve veri setinin analizi için bağımlı değişkenin dağılımının birçok noktasında bilgi edinilmesine imkân sunan kantil regresyon kullanılmıştır. Çalışma sonucunda hane sorumlusunun cinsiyetinin, yaşının, medeni durumunun, eğitim durumunun, hanehalkı büyüklüğü, gelir başta olmak üzere ekonomik göstergelerin ve sosyal göstergelerin tüketim harcamaları üzerinde etkili olduğu tespit edilmiştir. Çalışmanın sonuçlarını, araştırmacı ve politika yapıcıların yaşam standartlarını ve refahı iyileştirmeyi amaçlayan faaliyetleri başta olmak üzere gelecekteki politikaların formüle edilmesinde faydalı olması beklenmektedir.

Anahtar Kelimeler:

Hane Halkı Harcaması, Hane Halkı Tüketimi, Tüketici Davranışı, Demografik Faktörler, Ekonomik Faktörler, Anket Verisi, sosyal ve çevresel faktörler

Factors Affecting Household Expenditures: A Microeconometric Study on Turkey

Household expenditures, which are an important component of public policies, are an indicator of individual and therefore social welfare. Knowing the factors affecting household consumption expenditures will be beneficial in many ways, especially in public policies. The aim of working with this source of motivation is to examine the determinants of household consumption expenditures from a microeconometric perspective. For this purpose, the data set of the study was obtained through the Household Budget Survey of the Turkish Statistical Institute, and quantile regression was used for the analysis of the data set, which allows obtaining information at many points of the distribution of the dependent variable. As a result of the study, it has been determined that gender, age, marital status, educational status, household size, economic indicators, especially income, and social indicators are effective on consumption expenditures.

Keywords:

Household Expenditure, Household Consumption, Demographic Factor, Economic Factor, Survey Data, social and environmental factors,

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Abrevaya, J. (2001). The effects of demographics and maternal behavior on the distribution of birth outcomes. Empirical Economics, 26(1), 247-257.
Aydemir, M., ve Bayram Arlı, N. (2020). Öğrencilerin Sosyal Dışlanmışlık Düzeylerinin Kantil Regresyon ile Analizi. Celal Bayar University Journal of Social Sciences/Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 18(2), 262-274.
Barda, C., and Sardianou, E. (2010). Analysing consumers'‘activism’in response to rising prices. International Journal of Consumer Studies, 34(2), 133-139.
Belaid, F., and Rault, C. (2021). Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach. Environmental Modeling ve Assessment, 1-18.
Borah, B. J., and Basu, A. (2013). Highlighting differences between conditional and unconditional quantile regression approaches through an application to assess medication adherence. Health economics, 22(9), 1052-1070.
Breusch, T. S., and Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the econometric society, 1287-1294.
Çağlayan, E., and Astar, M. (2012). A microeconometric analysis of household consumption expenditure determinants for both rural and urban areas in Turkey. American International Journal of Contemporary Research. 2(2), 27-34.
Çebi Karaaslan, K. (2022). Determinants of online shopping attitudes of households in Turkey, Journal of Modelling in Management, 17 (1), 119-133. https://doi.org/10.1108/JM2-04-2021-0101
Çebi-Karaaslan, K., Oktay, E., & Alkan, Ö. (2022). Determinants of Household Saving Behaviour in Turkey 1. Sosyoekonomi, 30(51), 71-90.
Çınar, U. K. (2019). En Küçük Kareler Regresyonuna Alternatif Bir Yöntem: Kantil Regresyon. Avrasya Uluslararası Araştırmalar Dergisi, 7(18), 57-71.
Davis, C. G., Moussie, M., Dinning, J. S., and Christakis, G. J. (1983). Socioeconomic determinants of food expenditure patterns among racially different low-income households: an empirical analysis. Western Journal of Agricultural Economics, 183-196.
Denton, F. T., Mountain, D. C., and Spencer, B. G. (2002). Age, retirement and expenditure patterns: an econometric study of older Canadian households (No. 82). McMaster University.
Erişen, M. A., ve Yılmaz, F. Ö. (2020). COVID-19 Pandemisi Döneminde Bireylerin Harcamalarının İncelenmesi. Gaziantep Üniversitesi Sosyal Bilimler Dergisi, 19(COVID-19 Special Issue), 340-353.
Gebreselassie, S. M., and Ndlovu, P. (2020). Factors Affecting Consumption Expenditure in Ethiopia: The Case of Amhara National Regional State (ANRS). International Journal of Engineering and Management Research, 10(1), 15-20.
Hao, L., and Naiman, D. Q. (2007). Quantile regression (No. 149). Sage.
Horioka, C. Y., and Terada-Hagiwara, A. (2012). The determinants and long-term projections of saving rates in developing Asia. Japan and the World Economy, 24(2), 128-137.
Hüfner, F., and Koske, I. (2010). Explaining household saving rates in G7 countries: implications for Germany.
Jae, M. K., Ryu, J. S., and Abdel‐Ghany, M. (2000). Family characteristics and convenience food expenditure in urban Korea. Journal of Consumer Studies & Home Economics, 24(4), 252-256.
Jung, K., and Kang, M. Y. (2021). Understanding Credit Card Usage Behavior of Elderly Korean Consumers for Sustainable Growth: Implications for Korean Credit Card Companies. Sustainability, 13(7), 3817.
Katsaiti, M. S., Ahmad, K. A. A., Tajuddin, H. M., and Abdulrouf, S. (2017). Determinant of Households Consumption Behavior in UAE: A Comparison of Nationals and Expatriates.
Khare, A., Khare, A. and Singh, S. (2012), Factors affecting credit card use in India, Asia Pacific Journal of Marketing and Logistics, 24(2), 236-256. https://doi.org/10.1108/13555851211218048
Koenker, R., and Bassett Jr, G. (1978). Regression quantiles. Econometrica: journal of the Econometric Society, 33-50.
Kostakis, I. (2014). The Determınants Of Households’food Consumptıon In Greece. International Journal Of Food And Agricultural Economics (Ijfaec), 2(1128-2016-92033), 17-28.
Latimaha, R. (2018). A descriptive analysis on the basic needs budget by the middle income earners to identify the most expensive city to live: An analysis involving capital cities in Malaysia. Malaysian Journal of Business and Economics (MJBE), 1-1.
Manning, W. G., Blumberg, L., and Moulton, L. H. (1995). The demand for alcohol: the differential response to price. Journal of health economics, 14(2), 123-148.
Mignouna, D. B., Abdoulaye, T., Alene, A., Manyong, V. M., Dontsop, P. N., Ainembabazi, J. H., and Asiedu, R. (2015). A microeconometric analysis of household consumption Expenditure determinants in Yam-growing Areas of Nigeria and Ghana. Tropicultura, 33(3), 226-237.
MingiYen Teoh, W., Chong, S. and Mid Yong, S. (2013), Exploring the factors influencing credit card spending behavior among Malaysians, International Journal of Bank Marketing, 31(6), 481-500. https://doi.org/10.1108/IJBM-04-2013-0037
Nagra, G., and Gopal, R. (2013). An study of factors affecting on online shopping behavior of consumers. International journal of scientific and research publications, 3(6), 292-296.
Ong, F. S. (2012). Older consumers in Malaysia: spending pattern, leisure activities and consumption preferences. International Journal of Ageing and Later Life, 2(1), 85–117.
Oyewumi, O. A., and Jooste, A. (2006). Measuring the determinants of pork consumption in Bloemfontein, Central South Africa. Agrekon, 45(2), 185-197.
Phipps, S. A., and Burton, P. S. (1998). What’s mine is yours? The influence of male and female incomes on patterns of household expenditure. Economica, 65(260), 599-613.
Sekhampu, T. J., and Niyimbanira, F. (2013). Analysis of the factors influencing household expenditure in a South African township. International Business ve Economics Research Journal (IBER), 12(3), 279-284.
Soberon-Ferrer, H., and Dardis, R. (1991). Determinants of household expenditures for services. Journal of consumer research, 17(4), 385-397.
Song, L. (2008). In search of gender bias in household resource allocation in rural China. Available at SSRN 1136265.
Sultan, F., and Henrichs, R. B. (2000). Consumer preferences for Internet services over time: initial explorations. Journal of Consumer Marketing, 17(5), 386-402.
Topal, K, ve Çağlayan Akay, E. (2021). Hanehalkı Tüketim Harcamalarının Mikroekonometrik Analizi: LAD-LASSO Yöntemi. Ekoist: Journal of Econometrics and Statistics , (33) , 13-31. DOI: 10.26650/ekoist.2020.33.843564
TÜİK. Hanehalkı Bütçe Araştırması. Alınma tarihi: 10.09.2021 https://www.tuik.gov.tr/Kurumsal/Mikro_Veri