Lectures in Quantitative Economics
by Thomas J. Sargent, John Stachurski
Publisher: QuantEcon 2017
Number of pages: 344
This website presents a series of lectures on quantitative economic modeling. From the table of contents: Data and Empirics; Tools and Techniques; Dynamic Programming; Multiple Agent Models; Time Series Models; Dynamic Programming Squared.
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by Thomas Andren - BookBoon
This book covers the most basic concepts in econometrics. Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained.
by Michael Creel - Universitat Autonoma de Barcelona
Textbook for graduate econometrics, it teaches ordinary least squares, maximum likelihood estimation, restrictions and hypothesis test, stochastic regressors, exogeneity and simultaneity, numeric optimization methods, method of moments, etc.
by Jerome Stein - Springer
Stochastic Optimal Control (SOC) is very helpful in understanding and predicting debt crises. The mathematical analysis is applied empirically to the financial debt crisis of 2008, the crises of the 1980s and the European debt crisis.
by Miroslav Verbič - InTech
This book provides recent insight on some key issues in econometric theory and applications. It focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models.