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Engel curves and price elasticity in urban Chinese Households

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  • Li, Lianyou
  • Song, Ze
  • Ma, Chao

Abstract

On the basis of local concavity assumptions, Exact Affine Stone Index implicit Marshallian demand system is adopted to analyze Engel Curves and price elasticity for Chinese urban household. Our results show that a demand system rank can be polynomials or splines of any order which support the conclusion of Lewbel and Pendakur (2009). Engel Curves are affected by gender and education of householder, the number of minor children and adults. Budget shares of food, clothing and transportation–communication decrease, and other budget shares increase from 1995 to 2007. There are different influences between all categories of price elasticities, most notably dwelling price. In addition, the quickly rising price and slow growth spending hamper improvement of welfare from 2002 to 2012.

Suggested Citation

  • Li, Lianyou & Song, Ze & Ma, Chao, 2015. "Engel curves and price elasticity in urban Chinese Households," Economic Modelling, Elsevier, vol. 44(C), pages 236-242.
    • Handle: RePEc:eee:ecmode:v:44:y:2015:i:c:p:236-242
    DOI: 10.1016/j.econmod.2014.10.002
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    1. Kazuo Ogawa, 2011. "Why Are Concavity Conditions Not Satisfied in the Cost Function? The Case of Japanese Manufacturing Firms during the Bubble Period," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 556-580, August.
    2. Arthur Lewbel, 2001. "Demand Systems with and without Errors," American Economic Review, American Economic Association, vol. 91(3), pages 611-618, June.
    3. Sam Norris & Krishna Pendakur, 2013. "Imputing rent in consumption measures, with an application to consumption poverty in Canada, 1997–2009," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(4), pages 1537-1570, November.
    4. Arthur Lewbel & Krishna Pendakur, 2009. "Tricks with Hicks: The EASI Demand System," American Economic Review, American Economic Association, vol. 99(3), pages 827-863, June.
    5. Terrell, Dek, 1996. "Incorporating Monotonicity and Concavity Conditions in Flexible Functional Forms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 179-194, March-Apr.
    6. Richard Blundell & Xiaohong Chen & Dennis Kristensen, 2007. "Semi-Nonparametric IV Estimation of Shape-Invariant Engel Curves," Econometrica, Econometric Society, vol. 75(6), pages 1613-1669, November.
    7. Ankita Mishra & Ranjan Ray, 2014. "Spatial Variation in Prices and Expenditure Inequalities in Australia," The Economic Record, The Economic Society of Australia, vol. 90(289), pages 137-159, June.
    8. Paul Blacklow & Aaron Nicholas & Ranjan Ray, 2010. "Demographic Demand Systems With Application To Equivalence Scales Estimation And Inequality Analysis: The Australian Evidence," Australian Economic Papers, Wiley Blackwell, vol. 49(3), pages 161-179, September.
    9. Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
    10. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    11. Dominitz, Jeff & Sherman, Robert P., 2005. "Some Convergence Theory For Iterative Estimation Procedures With An Application To Semiparametric Estimation," Econometric Theory, Cambridge University Press, vol. 21(4), pages 838-863, August.
    12. Brown, Bryan W & Walker, Mary Beth, 1989. "The Random Utility Hypothesis and Inference in Demand Systems," Econometrica, Econometric Society, vol. 57(4), pages 815-829, July.
    13. Guang Wan, 1996. "Using panel data to estimate Engel functions: food consumption in China," Applied Economics Letters, Taylor & Francis Journals, vol. 3(9), pages 621-624.
    14. Cui, Yuling & Nahm, Daehoon & Tani, Massimiliano, 2013. "Earnings Differentials and Returns to Education in China, 1995-2008," IZA Discussion Papers 7349, Institute of Labor Economics (IZA).
    15. X.M. Gao & Eric J. Wailes & Gail L. Cramer, 1996. "A Two-Stage Rural Household Demand Analysis: Microdata Evidence from Jiangsu Province, China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 604-613.
    16. Ryan, David L. & Wales, Terence J., 2000. "Imposing local concavity in the translog and generalized Leontief cost functions," Economics Letters, Elsevier, vol. 67(3), pages 253-260, June.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    18. de Ree, Joppe & Alessie, Rob & Pradhan, Menno, 2013. "The price and utility dependence of equivalence scales: Evidence from Indonesia," Journal of Public Economics, Elsevier, vol. 97(C), pages 272-281.
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