[外行报告] 瑞银Analysing Chinese Grey Income [推广有奖]

出版:瑞银
格式:PDF
页数：56
时间：2010.08.06

Introduction
Credit Suisse, along with China Society of Economic Reform, has sponsored Prof. Wang
Xiaolu of the China Reform Foundation, in his second study on China’s grey income and
income distribution. For details on the first study, please refer to Analysing Chinese Grey
Income, published by Credit Suisse on 3 March 2008.
The recent survey, undertaken in late 2009 (using 2008 data), covers 19 provinces,
64 cities and 14 counties, with a total sample size of 4,909. After removing 714 samples
with either sample quality problems or with negative income in 2008 (for example, due to a
loss-making family business), the effective sample size is 4,195. This sample size is
significantly larger than the first survey in 2005-06, in which urban residents in
27 provinces, including 49 cities and 14 counties, were surveyed. Some 2,147
questionnaires were returned with 2,054 accepted after verification.
The methodology of the current survey is similar to that of the first. The purpose is to try to
correct the understatement of income in the official household survey by the National
Bureau of Statistics (NBS). Basically, the study assumes that while respondents
understate their income during the survey of NBS (for reasons like worrying that such
information will be passed to tax authorities, etc.), they have no incentive to understate
total spending, particularly the percentage of food consumption to total spending (the
Engel’s coefficient). Based on this assumption, the survey employs interviewers’ questions
about income, spending and food consumption from the 4,000 plus respondents whom
they know personally. The assumption is that as the interviewer knows the respondent
personally, the respondent will feel more comfortable and willing to disclose their “true”
income. Then, based on the corresponding Engel’s coefficient, the income data collected
in this study is used as a reference, combined with some econometric adjustments, to
adjust the data reported in the official household survey by NBS.