Research 


My research fields are health economics, applied microeconomics, and industrial organization.  


You can download my research statement  here

Miaoqing Jia 

Ph.D., Department of Economics, Boston University

Working Papers

The Inappropriate Use of Medicine with Policy Implication (Job Market Paper)


Excessive use of medicine may raise pharmaceutical costs due to microbe becoming drug resistant. Not all patients recognize this. Forward-looking patients recognize the negative externality; myopic patients ignore it. I study how decisions of forward-looking and myopic patients interact in a multi-period model. I assume that future pharmaceutical cost increases in the current average consumption quantity. A perfectly competitive market with marginal cost pricing is inefficient due to myopic patients' over-consumption . A monopolist sets prices above marginal costs, so all patients consume less. I show that a monopolist's higher prices reduce consumption, and mitigate the excessive use of medicine. Monopoly may result in a higher social welfare than perfect competition. 

Informal Gift Exchange in the Public Health Sector


I study informal gift exchange in the public health sector in China. In the public system, a physician receives a fixed salary and additional payments from patients. A guilt effect from violating professional norms limits the size of informal payments. In the private system, the guilt effect vanishes because of the legalization of informal payment. Without receiving the fixed salary, the physician in the private system abandons patients with low payments. The distribution of patients’ wealth levels and the physician’s outside option affect the relative welfare in both systems. If too many patients are left behind, the regulator will support the public system.

Publications


Do the Timeliness, Regularity, and Intensity of Online Work Habits Predict Academic Performance? with Tomas Dvorak


This study analyzes the relationship between students’ online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students’ online work habits: timeliness, regularity, and intensity. We find that students with high prior GPAs and high grades in the course work on assignments early and more regularly. We also find that the regularity of work habits during the first half of the term predicts grade in the course, even while controlling for the prior GPA. Overall, however, the marginal predictive power of CMS data is rather limited. Still, the fact that high achieving students show vastly different work habits from low achieving students supports interventions aimed at improving time-management skills.

Work in Progress


The Effectiveness of the Healthcare System Reform on Affecting Self-Medication in China