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Examples — statsmodels
Examples¶. This page provides a series of examples, tutorials and recipes to help you get started with statsmodels.Each of the examples shown here is made available as an IPython Notebook and as a plain python script on the statsmodels github repository.. We also encourage users to submit their own examples, tutorials or cool statsmodels trick to the Examples wiki page
Biogeme is a open source Python package designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models. It relies on the package Python Data Analysis Library called Pandas.. Biogeme used to be a stand alone software package, written in C++. All the material related to the previous versions of Biogeme are available on the old ...
Maquiladora - Wikipedia
A maquiladora (Spanish: [makilaˈðoɾa]), or maquila (IPA: ), is a company that allows factories to be largely duty free and tariff-free.These factories take raw materials and assemble, manufacture, or process them and export the finished product. These factories and systems are present throughout Latin America, including Mexico, Paraguay, Nicaragua, and El Salvador.
Modelling regional accessibility to airports using discrete choice models: An application to a system of regional airports. Angela Stefania Bergantino, Mauro Capurso, Stephane Hess. ATRS 2017 February 2020. The evolving market entry strategy: A comparative study of Southwest and JetBlue. Li Zou, Chunyan Yu. ATRS 2017 February 2020
The RAND Journal of Economics - Wiley Online Library
The RAND Journal of Economics publishes theoretical and empirical research on industrial organization and closely related topics, including contracts, organizations, law and economics, and regulation.
Gravity Model - an overview | ScienceDirect Topics
Discrete choice models may be derived from at least two formal theories: Luce's strict utility theory and Thurstone's random utility theory. In particular, Luce assumed that the probability of choosing a choice alternative is equal to the ratio of the utility associated with that alternative to the sum of the utilities for all the alternatives ...
6.3 The Conditional Logit Model - Princeton University
6.3 The Conditional Logit Model. In this section I will describe an extension of the multinomial logit model that is particularly appropriate in models of choice behavior, where the explanatory variables may include attributes of the choice alternatives (for example cost) as well as characteristics of the individuals making the choices (such as income).
Prediction (out of sample) — statsmodels
Discrete Choice Models; Nonparametric Statistics; Generalized Linear Models; Robust Regression; Generalized Estimating Equations; Statistics; Time Series Analysis; State space models; State space models - Technical notes; Forecasting; Multivariate Methods; User Notes. Contrasts Overview; Formulas: Fitting models using R-style formulas
Discrete Choice Methods with Simulation - University of California ...
To focus ideas, I will now establish the conceptual basis for discrete choice models and show where integration comes into play. An agent (i.e., person, ﬁrm, decision-maker) faces a choice, or a series of choices over time, among a set of options. For example, a customer chooses which of several competing products to buy; a ﬁrm decides ...
NEP: New Economics Papers
NEP is an announcement service which filters information on new additions to RePEc into edited reports. The goal is to provide subscribers with up-to-date information about the research literature.