Statistical Tools for Economists
by Daniel McFadden
Publisher: University of California, Berkeley 2001
From the table of 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.
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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 Kevin Sheppard
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
by Daniel McFadden, Antti Talvitie, and Associates - University of California
From the table of contents: Theory and Estimation of Behavioral Travel Demand Models; Development, Testing, and Validaton of a Work-Trip Mode-Choice Model; Modeling Choices Other than Work-Trip; Issues in Demand Modeling and Forecasting.
by Tom Domencich, Daniel L. McFadden - North-Holland Publishing
'Urban Travel Demand' develops a theory of demand for populations of individual economic consumers which we believe is a logical and natural generalization of traditional theory to encompass choice among discrete alternatives.