Statistical Inference in Dynamic Economic Models
by Tjalling C. Koopmans
Publisher: John Wiley & Sons 1950
Number of pages: 454
Quantitative economic study has a threefold basis: it is necessary to formulate economic hypotheses, to collect appropriate data, and to confront hypotheses with data. The latter task, statistical inference in economics, is discussed in this book.
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by Daniel McFadden - University of California, Berkeley
The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.
by Second Bwanakare - De Gruyter Open
The book provides a new, non-extensive entropy econometrics approach to the economic modelling of ill-behaved inverse problems. Particular attention is paid to national account-based general equilibrium models known for their relative complexity.
by Kenneth Train - Cambridge University Press
The book describes the new generation of discrete choice methods, focusing on the advances that are made possible by simulation. Researchers use these methods to examine the choices that consumers, households, firms, and other agents make.
by Thomas J. Sargent, John Stachurski - QuantEcon
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.