BUSINESS & ECONOMICS / Econometrics

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Introduction to Quantitative Economics

by Jesse M Shapiro

ISBN: 9780262051057

Publisher: The MIT Press

Pub Date: February 24, 2026

A paradigm-shifting textbook that teaches graduate students in economics how to use economic models to interpret data.

Encompassing

Practical Applications Through Simulation

by Jean-Francois Richard, Robert C. Marshall and Chaohai Shen

ISBN: 9780262553094

Publisher: The MIT Press

Pub Date: August 26, 2025

An operational simulation-based implementation of a fundamental research principle in the sciences—the idea that a model must account for, or encompass, findings of alternative models.

Impact Evaluation in Firms and Organizations

With Applications in R and Python

by Martin Huber

ISBN: 9780262552929

Publisher: The MIT Press

Pub Date: August 5, 2025

A comprehensive, nontechnical guide to the methods of data-based impact evaluation in companies and organizations, with coverage of machine learning techniques.

Causal Analysis

Impact Evaluation and Causal Machine Learning with Applications in R

by Martin Huber

ISBN: 9780262545914

Publisher: The MIT Press

Pub Date: August 1, 2023

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.

Causal Inference

by Paul R. Rosenbaum

ISBN: 9780262545198

Publisher: The MIT Press

Pub Date: April 4, 2023

A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.

The Guidance of an Enterprise Economy

by Martin Shubik and Eric Smith

ISBN: 9780262546775

Publisher: The MIT Press

Pub Date: November 1, 2022

A rigorous theory of money, credit, and bankruptcy in the context of a mixed economy, uniting Walrasian general equilibrium with macroeconomic dynamics and Schumpeterian innovation.