China Economic Review

Data and codes for "Reciprocity Information and Wage Personalization"

We provide the data used in the paper "Re-study on Chinese city size and policy formation". Please refer to the paper for the description on the data.

This folder contains replication materials for the paper “Gender Norms and Marriage Satisfaction: Evidence from China”. The datasets required are stored in folder “Data” The do-files to produce the tables and figures are stored in folder “Dofiles”. The outputs of the do-files are stored in folder “Output”.

We use panel data from the China Health and Nutrition Survey (CHNS) for the period 1991-2015. The CHNS is a collaborative project between the Carolina Population Center at the University of North Carolina at Chapel Hill and the National Institute for Nutrition and Health at the Chinese Center for Disease Control and Prevention. CHNS data are available from ten waves (1989, 1991, 1993, 1997, 2000, 2004, 2006, 2009, 2011, and 2015), in which surveyed households were revisited and new households were added to replace households no longer participating in the study. We exclude the first survey year 1989 from our sample because the questions asked in the 1989 survey are different from those in other waves, and it is therefore difficult to compare the 1989 data with other waves (see also, Zhong 2011; Baeten, Ourti, and Doorslaer 2013; Cao and Birchenall 2013). The CHNS uses a multistage, random cluster-sampling scheme to select the households from each sampled province. Counties in each province were selected using a weighted method. Villages and townships in each county and urban and suburban neighborhoods in each city were randomly selected. The survey collects detailed information on income, assets, and demographics for each household.

The files are: - Base_TC is an Excel file corresponding to the database on nominal exchange rates used in the analysis; - Base_TCER is an Excel file corresponding to the database on real exchange rates used in the analysis; - factors is an Eviews workfile used for the estimation of VAR and ARDL models

Our firm-level data is taken from the Biennial National Survey of Chinese Private Enterprises. The survey was jointly organized and conducted by the United Front Work Department of the Central Committee of the Communist Party of China, the All-China Federation of Industry and Commerce, the State Administration of Industry and Commerce, and the Private Economy Research Institute of China. We work with three waves of survey data conducted in 2004, 2006, and 2008 due to information availability on export modes. The survey collects information from the previous year, so the firm information in our data corresponds to 2003, 2005, and 2007. The data is repeated cross-sectional in nature as firms are re-sampled nationally for each survey.

Agricultural inputs and output by province for China over the period 1997-2014. The data on inputs and output were collected from the China official statistical database (National Bureau of Statistics of China, 2017); see http://data.stats.gov.cn/english/index.htm.

This dataset is used for the researh paper "The Study of Elite School and Magnet Class Enrollment on Student Academic Performance". It contains scores of college enrollment exam and scores of high school enrollment for 6500 students. For the sake of privacy, we encode students' name.

China's residential sector has experienced rapid electrification and gasification. Among rural households, however, coal still accounts for a large share of energy use, especially in the north. Use of coal for cooking and heating brings large health and pollution risks. From a theoretical viewpoint, economic tools such as taxes and subsidies have the potential to play a crucial role in addressing this issue. In this paper, a provincial-level dataset is used to estimate the price and income elasticities of aggregate coal demand by rural households. We find that coal is a non-Giffen inferior good for the rural household sector. This means that future income growth may help to induce switching from coal. Demand is becoming more price elastic as rural incomes grow. We also find that rural residential coal demand is more price- and income-responsive in the south than the north, perhaps because of fewer substitution options in the north. Our results provide benchmarks and parameters for policy simulation research. Provincial panel data for 1998–2012. Variables: Ln Coal consumption Ln Real coal price index Ln Real coal price level Ln GDP Secondary share of economy (%) State-owned share of total revenue from industrial enterprises (%) Five-year energy conservation assignments to industry (%) Post-2005 retired thermal power capacity (%) Ln Real gasoline price