Primary Outcomes (explanation)
- We elicit a wide range of political and economic preferences, attitudes, and beliefs, including various measures on political obedience. For example, alignment with the Chinese Communist Party’s official policy agenda, support of various public policies, performance evaluation and trust of various levels of the government. We elicit Big 5 personality characteristics, as well as fundamental preferences: risk preference, time preference, altruism, and reciprocity using Falk et al. (2016) module. We use lab-in-the-field behavioral games to elicit respondents’ preference for redistribution, following Fisman et al. (2007). The design allows us to separately identify respondents’ tradeoff between equity and efficiency. In addition, we incorporate the “Public Service Motivation Survey” to measure respondents’ broad alignment with the public service career track.
- We elicit various measures on competence. For example, we collect grades in college. We measure respondents’ knowledge on various socioeconomic events and facts, both regarding China as a whole and the local regions specifically.
- We design a visual-based experimental module to elicit how respondents process politically and economically framed information (e.g. local poverty condition), how they interpret new signals and update their beliefs. The potential existence of bias in information acquisition and belief updating allows us to examine patterns such as motivated beliefs.
- We collect administrative information on job performance during the CGCS program. This includes performance evaluations by peers, supervisors, and villagers, as well as objective and aggerate performance measures at the village level.
- We use social security data to trace career trajectories and income of all individuals. This allows to investigate questions such as which civil servants get promoted, who decide to stay in the public sector, and whether those civil servants who return to private sector converge to their counterparts who start off in the private sector.