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312-2012: Handling Missing Data by Maximum
312-2012: Handling Missing Data by Maximum

Lecture Notes
Lecture Notes

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It`s a Small Small Welfare Cost of Fluctuations

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Linear Regression - math-b

Heavy Tails of OLS
Heavy Tails of OLS

... This observation pertains to finance models like the CAPM beta regression, the forward premium equation and the yield curve regression. In economics, macro models like the monetary model of the foreign exchange rate also yield a wide spectrum of regression coefficients. The uncertainty in CAPM regre ...
Multivariate Data Analysis – CSIC
Multivariate Data Analysis – CSIC

Empirical Likelihood Confidence Region for Parameters in Semi
Empirical Likelihood Confidence Region for Parameters in Semi

... random covariates and measurement error vectors, respectively, Y is a scalar response and  is the model error. It is assumed that x and (, us)s are independent. In the last two decades, the linear EV model (1) has frequently been used in practice and has attracted considerable attention in the sta ...
A Specification Test for Linear Regressions that use
A Specification Test for Linear Regressions that use

Spatial Statistics and Spatial Knowledge Discovery
Spatial Statistics and Spatial Knowledge Discovery

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Imputation Framework for Missing Values
Imputation Framework for Missing Values

Approximately normal tests for equal predictive accuracy in nested
Approximately normal tests for equal predictive accuracy in nested

Book review: The history of the generation that reinvented economics
Book review: The history of the generation that reinvented economics

Decision criteria - RAMAS Books and Software by
Decision criteria - RAMAS Books and Software by

Rational Choice vs. Program-based Behavior: Alternative
Rational Choice vs. Program-based Behavior: Alternative

... sure, it may be said to inform us about what would be the case if the world were populated by perfectly rational agents. Yet, whatever useful information it may provide in doing so, as a theory about an imagined world it definitely does not produce empirically testable conjectures about real human a ...
Part I Simple Linear Regression - the Department of Statistics Online
Part I Simple Linear Regression - the Department of Statistics Online

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Could you have a check in the mail?

GRADIENT-BASED STRUCTURAL CHANGE DETECTION FOR
GRADIENT-BASED STRUCTURAL CHANGE DETECTION FOR

... block size and Vi ’s are standard normals that are independent of the the data. If the true errors {ei } were known and the residuals in (3) are replaced by the true errors, then it can be shown that the above bootstrap consistently mimics (3). However, due to the non-negligible differences between ...
Simple Linear Regression - Computer Science Department
Simple Linear Regression - Computer Science Department

... Consider the distribution in the figure. The bars on the right side of the distribution taper differently than the bars on the left side. These tapering sides are called tails (or snakes), and they provide a visual means for determining which of the two kinds of skewness a distribution has: 1.negati ...
Theory of Consumer Behavior
Theory of Consumer Behavior

... Mr. H. Gossen, a German economist, was first to explain this law in 1854. Alfred Marshal later on restated this law in the following words: “The additional benefit which a person derives from an increase of his stock of a thing diminishes with every increase in the stock that already has”. ...
Missing No More: Using the MCMC Procedure to Model Missing Data
Missing No More: Using the MCMC Procedure to Model Missing Data

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Choice modelling

Choice modeling attempts to model the decision process of an individual or segment in a particular context. Choice modeling may be used to estimate non-market environmental benefits and costs.Many alternative models exist in econometrics, marketing, sociometrics and other fields, including utility maximization, optimization applied to consumer theory, and a plethora of other identification strategies which may be more or less accurate depending on the data, sample, hypothesis and the particular decision being modelled. In addition, choice modeling is regarded as the most suitable method for estimating consumers’ willingness to pay for quality improvements in multiple dimensions. The Nobel Prize for economics was awarded to a principal proponent of the choice modeling theory, Daniel McFadden.
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