Project leader: Sun Wenkai School of Economics, Renmin University of China

Starting and ending date of the project: 2017.04.01-2019.04.01

Project Description:

1. The main content, basic ideas, difficulties, main points and innovations of this research

 

Main contents: This topic will focus on the current situation of the lack of quantitative and standardized household registration in the household registration reform study. By collecting all the household registration system documents of the large and medium-sized cities over the years, the appropriate household statistical system will be used to generate the household registration reform openness panel data of each large and medium-sized city. On this basis, we will test the economic and social impact of the openness of the household registration system and obtain the conclusion of the multi-dimensional household registration system. Specifically, this topic will be divided into three parts.

 

First, we will collect policy documents for households in different cities in each year, design several indicators to measure the openness of household registration and decompose them into several sub-indicators, and obtain the household registration openness indicators weighted.

 

Second, after obtaining the panel data on the openness of household registration in major cities in China, we will analyze the influencing factors of the openness of household registration in different cities, which explains why the openness of household registration in different cities is different.

 

Third, based on the data on the openness of each city's household registration, we use this data to reanalyze the economic and social impact of various household registration reforms.

 

The basic idea of ​​this topic is to comprehensively consider the various dimensions of household registration and quantify it, and form sub-indicators and general indicators to better quantitatively analyze the changes in household registration reform and economic and social impact. In the past, the means of analyzing the household registration reform policy was too simple and needed improvement. After better quantification, it is also easier to analyze household changes and household reform results. The gradual household reform in China includes reforms in all aspects. The differences in household improvement in each region can be used to analyze the economic and social impacts of household reform.

 

The focus of this project is mainly on building a database of household registration openness and re-quantitative analysis. Correspondingly, the difficulty of this topic lies in the process of quantitative analysis. First of all, it takes a lot of time and energy to collect the information of each household registration system in each large and medium-sized city. Because the latest household registration policies of a few large cities can be collected through the Internet, the historical household registration policies of other large and medium-sized cities need to be collected and organized by the public security department of the city. This will take a lot of time and money; second, the data collection, cleanup and quantification needs to be innovative and scientific; third, the use of the obtained panel data for analysis needs to consider solving various potential statistical problems.

 

The main point of this topic is to further quantify the openness of household registration, which is helpful to better analyze the role and influencing factors of this factor in the economy. Since the household registration system is one of the fundamental systems for shaping the Chinese labor market, deepening the analysis is a basic work, which will greatly promote the academic research on the entire labor market.

 

The innovation of this topic is to fundamentally promote the quantitative work of the household registration system, and use this new database to analyze the economic and social impact of household reform. In addition, the analysis process will use the matching comparison method based on the propensity score (referred to as PSM-ATT estimation) and the double difference method (referred to as DID) combined with the triple difference and other scientific event evaluation methods to influence the existing households. Conduct a more reliable test.