cv_mimi xiao
TRANSCRIPT
April 2015
ADDRESS
EDUCATION
Mimi Xiao
Department of Economics, University of Sussex
Jubilee Building, BN1 9SL
Brighton, United Kingdom
Cell Phone: +44 (0) 7460879475
Email: [email protected]; [email protected]
Sep.2012-April.2015 PhD, Economics, University of Sussex
THESIS TITLE: “Intergenerational Transmission and the Effects of Health
on Migration”
REFERENCES:
Supervisors:
Prof L. Alan Winters
Post: Professor of Economics (Economics)
Location: Room 280, Jubilee Building, University of Sussex
Email: [email protected]
UK: 01273 678332 or 01273 877224
International: +44 1273 678332 or +44 1273 877224
Prof Peter Dolton
Post: Professor of Economics (Economics)
Location: Room 282, Jubilee Building, University of Sussex
Email: [email protected]
UK: 01273 877270
International: +44 1273 877270
PhD convenor:
Professor Richard Tol
Post: Professor of Economics (Economics)
Location: Room 281, Jubilee Building, University of Sussex
Email: [email protected]
UK: 01273 877282
International: +44 1273 877282
Sep.2011-Sep.2012 Master, Economics, University of Sussex (UK)
(Supervised by Professor Richard Dickens)
Merit
THESIS TITLE: An Evaluation of “Poor County”
Program in China
RESEARCH INTERESTS:
Development Economics, Health, Migration
PUBLICATIONS:
“The Intergenerational transmission of adiposity in China”
Under revision and review (the third time), Economics and Human Biology
“Informal Finance and the Financing of small and medium sized enterprises (SMEs)”.
Finance & Economics,No.8, 2010, 66-68
“Review of the Factors of Coordinate Economic Development of Urban and Rural areas
in China”. Economic Research Guide,No.2,2011, 70-75
“Modern Corporate Culture Theory and Practice”, Chapter 11, Xi'an Scientific and
Technical University Press, 2009
COMPLETED PAPERS:
“The Intergenerational transmission of adiposity across countries”
We set up an empirical model on the intergenerational transmission (of income, education or
BMI). Using different datasets from around the world: British 1970 Cohort Studies
(BCS1970), Health Survey for England (HSE), National Health and Nutrition Examination
Survey in the US (NHNAES), the Spanish National Health Survey (ENS-2006), the Survey
for the Evaluation of Urban Households (ENCELURB) data in Mexico, China Health and
Nutrition Survey (CHNS) and Indonesian Family Life Survey (IFLS), we estimate the
intergenerational transmission of adiposity in these countries. We find that the elasticity of
intergenerational transmission is relatively constant – at 0.2 per parent, this elasticity is
comparable across time and countries, regardless of the economic development degree and
the main ethnic composition of the country. To investigate the variation in this
intergenerational elasticity across the BMI distribution, we conduct quantile estimation and
the results suggest that this intergenerational transmission mechanism is more than double for
the fattest children as it is for the thinnest children. The results indicate a large fraction of
adiposity determination within the family, particularly for the fatter children. This seems to
be a general pattern across different countries. Therefore, one policy implication is to put
more attention on family and parents, with a focus on healthy lifestyle and healthy dietary.
“The Intergenerational transmission of adiposity in China”
Using BMI z-score as another measure of adiposity, we estimate the intergenerational
transmission of adiposity in China. Based on the CHNS longitudinal data from 1989 to 2009,
the OLS estimates suggest one standard deviation increase in father’s BMI z-score is
associated with an increase of 0.20 in child’s BMI z-score, and this figure is around 0.22 for
the correlation between mother and child’s BMI z-score. These estimates decreases to around
0.14 for father-child and 0.12 for mother-child when we control for household fixed effects,
similarly when we control for individual fixed effects. The fixed effects estimates provide
some evidence for the short term environmental effects of parents’ BMI on child’s BMI. We
also conduct quantile estimation, we find that the correlation between father and child’s BMI
z-score tends to be higher among fatter children, it is around 0.31 at the fattest end (90th) of
child’s BMI z-score distribution, and around 0.18 at the thinnest end (5th) of the distribution.
To alleviate the lifecycle bias, we estimate the quantile elasticities on children aged 16~18
years old (“the approaching adults”), the pattern of the estimates are similar to those on the
full sample, the correlation tends to be higher at the fatter end of child’s BMI z-score
distribution. As another dimension of the heterogeneous effects in the elasticity, this
correlation is estimated by family socioeconomic level, we find this correlation does not vary
substantially with family SES indicators. Additionally, the correlations by age group reveals
that this intergenerational relationship increases during the first stage of the childhood and
then decreases, it reaches the maximum over the period between childhood and the later
adolescence.
“Health Selectivity of Migrants: The Case of Internal Migration in China”
Using the CHNS data (1993-2009), we examine the “healthy migrant hypothesis” in the
context of internal migration in China. Based on a framework set up in the same way as
Borjas (1988)’s model of self-selection, we find those self-evaluating as having “fair”,
“good” or “excellent” health are more likely to migrate than those self-evaluating as having
“poor” health. We find that the health effects tend to be larger for the lower skilled workers,
which is consistent with what the model predicts, although not larger for people with lower
education levels. We also test the indirect effects by which we mean the effects of earlier
health on education attainment, we find self-evaluating as having “fair”, “good” or
“excellent” health between age 13 and 16 years has a positive effect on the highest education
degree they obtained after they were 16 years old. To gain an insight into the long term
effects of health, we estimate the effects of lagged health on migration, we find that the
effects of lagged health on migration are not significant. In addition, the fixed effects
estimate also suggest the effects of change in health are not significant. However, we find the
health effects estimates are sensitive to the measure of health; when we estimate the main
equation using a health index which is created by collapsing various variables into a simple
measure, we find the estimates for health effects are sensitive to the type of variables and the
weights assigned to variables in the index, and that the estimates appear more significant
when the index is based on more health variables and gives more weights to the self-rated, as
opposed to “objective” measures of health. This result offers some hints that there might be a
stronger health effect if we use more health information from the data.
WORKING PAPERS
“The Intergenerational Transmission of Adiposity in Britain: A Nonparametric Bounds
Analysis”
INVITED PRESENTATIONS:
05/2014 Workshop: Effects of Early Interventions on Child Health and Education
University of Surrey, Surrey, UK
04/2014 Royal Economic Society Annual Conference
Manchester University, Manchester, UK
08/2013 24th Chinese Economic Association (UK) and 5th Chinese Economic
Association (Europe) Annual Conference (CEA)
Leiden University, The Hague, Netherlands
09/2013 Joint East Asian Studies Conference 2013
Nottingham University, Nottingham, UK
TEACHING AND WORKING EXPERIENCE
10-12/2013 Teaching Assistant in the STATA workshop to International Finance
Master students in School of Business, Management and Economics,
University of Sussex
03/2009-08/2010 Assistant in Doctoral School, Southwest University, China
08/2009-08/2010 Associate Tutor for undergraduate students, School of Economics and
Management, Southwest University, China
09/2009- 04/2010 Sales and Management, Internship in China Life Insurance Company,
Chongqing, China
04/2008-08/2008 Sales Representative, Department of VIP Credit Card, Guangzhou
Branch of China Merchants Bank
05/2007- 09/2007 Counter Clerk, Hengyang branch of China Agricultural Bank
SERVICES TO THE PROFESSION
Review for Journal of Development Economics
SCHOLARSHIPS
2011-2014 University of Sussex/China Scholarship Council (CSC) Joint Scholarships
(plus fee waiver)
RESEARCH FUNDINGS:
Involved in the successful application for ESRC funded project "Multilateral trade
liberalisation: what is in it for China" in January 2014 (TOTAL COST TO FCO: £139,990).
COURSES ATTENDED (PART):
10/2013 Simulation Methods and Robust Inference for Clustered Data
Program Evaluation for Policy Analysis ( PEPA), UK
06/2013 Measurement Error
Institute for Fiscal Studies (IFS), UK
12/2012 Policy Evaluation
Institute for Fiscal Studies (IFS), UK
09/2012-09/2013 Advanced Research Methods in Economics
PhD training course (every Wednesday)
Department of Economics, University of Sussex, UK
MEMBERSHIP:
Royal Economic Society Membership number: 2051120
European Economic Association
American Economic Association
SKILLS
Econometric Modelling
STATA, Eviews, Matlap
LANGUAGES
Fluent Chinese, English, Advanced Cantonese, Basic Japanese
OTHER RESEARCH EXPERIENCE (RESEARCH PROJECTS):
·“The Relationship between Farmers’ Educational Level and Rural Development in
Chongqing ”
Funded by National Social Sciences Council of China
·“The Poverty Alleviation of Wing Districts in Chongqing”
Funded by Chongqing Social Sciences Council
·“ Employment, Income and Rights of Migrant Workforce in Chongqing”
Funded by Chongqing Social Sciences Council
·“ Agricultural modernization and rural-urban migration in Chongqing”
·“The Efficiency of the Supply of Public Goods in Rural Areas of Chongqing”
·“The Modern Agricultural Development Planning of Changshou (one of 19 districts
in Chongqing)”
·“The Regional Economic Models of Beibei (one of 19 districts in Chongqing)”
·“The Evaluation of Financing Risk of Environmental Pollution in Chongqing”
Funded by China National Laboratory of Karst Dynamics
·“The Economic Development Model of Ecological Fragile Districts in the
Southwest of China”
· Analyzed the participation behavior in the farmland transfer in China using game
theory