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Price Endogeneity and Food Demand in Urban China
Author(s) -
Hovhannisyan Vardges,
Bozic Marin
Publication year - 2017
Publication title -
journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.157
H-Index - 61
eISSN - 1477-9552
pISSN - 0021-857X
DOI - 10.1111/1477-9552.12175
Subject(s) - endogeneity , economics , china , commodity , econometrics , instrumental variable , econometric model , exploit , geography , market economy , computer security , archaeology , computer science
Price endogeneity has been ignored in previous analyses of food demand in urban China. We exploit data provided by the China National Bureau of Statistics on agricultural commodity supply shifters and use reduced‐form price equations to account for price endogeneity. Applying our unique econometric approach to the analysis of provincial‐level food demand in China, we find strong statistical evidence of price endogeneity. Models that ignore price endogeneity result in substantially biased elasticities and misleading estimates of future food demand in China.