microeconometric
Microeconometrics is the branch of econometrics that applies statistical methods to micro-level data—observations on individuals, households, firms, and other small units—to analyze economic behavior and outcomes. It focuses on causal inference and parameter estimation in contexts where decisions occur at the micro level, such as labor supply, consumer demand, investment, or health choices. Microeconometric work complements macroeconometrics by exploiting rich datasets that track units over time or across settings.
Data types include cross-sectional, panel, and field experiments, including randomized controlled trials. Researchers use a mix
Common methods include ordinary least squares and generalized linear models for continuous and discrete outcomes; instrumental
Applications span labor economics, education, health, development, consumer demand, and industrial organization. Data sources include household