(9) 25 June | Statistical analysis (B)
Perfilado de sección
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Statistical analysis: how can we prove our assumptions about economics, politics, and society?
In this session, we will learn how to prove our assumptions statistically. This will be a basic introduction to what we can do with statistics and how to apply it to our work. We will explore how regression equations and data sets are built and how to use Excel to do basic regressions.
Remember to install the Excel 'Analysis ToolPak' add-in. Follow the instruction on the Pekingology slides.
- Readings: Recommended reading 1 discusses available data for studying the income distribution in China, but the insights are also relevant to other areas of inquiry. Recommended reading 2 talks about survey research on Chinese politics, but the conclusions can be applied to other survey research on different topics as well.
- Focus of the week: Statistics, data sets, regression analysis
- Method of the week: Statistical analysis
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Björn Gustafsson, LI Shi, and SATO Hiroshi, 'Data for studying earnings the distribution of household income and poverty in China', China Economic Review 30 (2014): 419-431. DOI: http://dx.doi.org/10.1016/j.chieco.2014.05.012.
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Melanie Manion, 'A survey of survey research on Chinese politics: What have we learned?'. In Contemporary Chinese Politics: New Sources, Methods and Field Strategies, edited by Allen Carlson, Kenneth Lieberthal, Mary E. Gallagher and Melanie Manion (Cambridge: Cambridge University Press, 2010).