Logo

Structural Analysis of Discrete Data with Econometric Applications

Small book cover: Structural Analysis of Discrete Data with Econometric Applications

Structural Analysis of Discrete Data with Econometric Applications
by

Publisher: The MIT Press
ISBN/ASIN: 0262131595
ISBN-13: 9780262131599
Number of pages: 504

Description:
This book provides a methodological foundation for the analysis of economic problems involving discrete data, and charts the current frontiers of this subject. The text should be useful not only for econometricians but also for the wider community of researchers involved in the structural analysis of discrete data.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Non-Extensive Entropy Econometrics for Low Frequency SeriesNon-Extensive Entropy Econometrics for Low Frequency Series
by - 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.
(6083 views)
Book cover: Spatial EconometricsSpatial Econometrics
by - University of Toledo
This text provides an introduction to spatial econometrics as well as a set of MATLAB functions that implement a host of spatial econometric estimation methods. The intended audience is faculty and students involved in modeling spatial data sets.
(12629 views)
Book cover: Discrete Choice Methods with SimulationDiscrete Choice Methods with Simulation
by - 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.
(14832 views)
Book cover: Statistical Tools for EconomistsStatistical Tools for Economists
by - 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.
(21395 views)