Can a Low-Income Student Afford a Long Medical Path? An Economic Analysis of Choosing Tsinghua for Medicine

Can the Poor Wait?

A common way to evaluate the decision is a simple cost‑benefit calculation: medical training takes many years, whereas engineering yields income sooner, so engineering appears more "profitable". This calculation assumes all families have the same tolerance for waiting, but empirical studies in development economics contradict that assumption.

Randomized controlled trials on low‑income households show that when families face negative income shocks and tight borrowing limits, they exhibit a stronger "present bias"—they discount future earnings at a higher rate. The poor are also more exposed to liquidity constraints, often borrowing at higher interest rates and receiving limited credit. These findings indicate that poorer families discount future income more heavily, a phenomenon that can be observed and quantified.

To formalize this, the article presents a basic intertemporal utility model: the total utility of a household over the medical‑training horizon can be approximated as U = \sum_{t=1}^{T} \delta^{t}\,u_t, where \delta is the discount factor (smaller values mean the household "cannot wait") and u_t is the utility from consumption in year t. For middle‑class families with ample savings, \delta is close to 1, so the early years of zero income are spread out as a small opportunity cost. For Han’s family, which has virtually no savings and a rigid medical expense for the mother, the discount factor is much lower, making the early “zero‑income” years a severe constraint on current living standards.

The article notes that Tsinghua’s full‑scholarship, living stipend, and work‑study positions effectively raise the discount factor for poor families, partially offsetting the "waiting penalty" imposed by liquidity constraints.

Is Studying Medicine Worth It?

The model can explain why poorer families are more sensitive to the length of the training period and how financial aid changes that sensitivity, but it cannot answer the normative question "Is studying medicine worthwhile?" because the utility function’s weights are subjective. A person who places a high weight on curing a mother’s disease will reach a different optimal decision than someone who prioritises buying a house quickly.

Many observers unintentionally project their own utility weights onto Han’s situation. The model clarifies the constraints but cannot replace an individual’s personal ranking of goals.

Tsinghua, Peking University, Xiehe, or Others?

The second controversy—whether Han should attend Peking University’s medical school or Xiehe instead of Tsinghua—is not a simple brand‑name battle but a question of the training network. Around 2000, Peking University merged with Peking Medical College, inheriting an established medical school and affiliated hospitals. Tsinghua missed that wave and only partnered with Xiehe in 2006; the partnership remains a loose affiliation without shared resources.

In 2023 Tsinghua integrated its basic and clinical medical schools and three affiliated hospitals into a new "Tsinghua University Medical College". If Han is admitted to Tsinghua’s clinical program, she will study within this newly built system rather than the older "pre‑college + Xiehe clinical" model. The number of affiliated hospitals also differs markedly: the First Hospital of Peking University has 20 affiliates, Peking University Medical Department has 10, Xiehe has 6, while Tsinghua has only a few (e.g., Chang Gung, Yuquan, Huaxin) and none are top‑tier (三甲) institutions.

This structural fact explains why the debate focuses on the quality of the broader medical network—hospital resources, department depth, mentorship chains—rather than merely the prestige of the university name.

Personal motivations, such as Han’s admiration for a role model or her mother’s illness, remain outside the model because they represent highly weighted, unobservable components of the utility function.

Any decision model can only process constraints—years of study, costs, network density—and identify the most efficient path given those constraints. The ultimate choice depends on the individual’s own objective function, which cannot be inferred from the model.

Amartya Sen’s distinction that well‑being includes the freedom to make autonomous choices reinforces this point: a person’s ability to decide, even when the outcome may not be "optimal" in a purely economic sense, is itself a valuable component of welfare.