Bounding Estimates of Wage Discrimination

The Blinder Oaxaca decomposition method for defining discrimination from the wage equations of two groups has had a wide degree of application. However, the implication of this measure can very dramatically depending on the definition of the non-discriminatory wage chosen for comparison. This paper uses a form of extreme bounds analysis to define the limits on the measure of discrimination that can be obtained from these decompositions. A simple application is presented to demonstrate the use of the bootstrap to define the distributions of the discrimination measure.Extreme Bounds Analysis, Discrimination, Bootstrap

Providing Intuition to the Fieller Method with Two Geometric Representations using STATA and Eviews

The Fieller Method for the construction of confidence intervals for ratios of the expected value of two normally distributed random variables has been shown by a number of authors to be a superior method to the delta approximation. However, it is not widely used due in part, to the tendency to present the intervals only in a formula context. In addition, potential users have been deterred by the potential difficulty in interpreting non-finite confidence intervals when the confidence level is less than 100%. In this paper we present two graphical methods which can be easily constructed using two widely used statistical software packages (Eviews and Stata) for the representation of the Fieller intervals. An application is presented to assess the results of a model of the non-accelerating inflation rate of unemployment (NAIRU).Fieller method, ratios of parameters, confidence interval, confidence ellipsoid,1st derivative function, NAIRU, EViews, STATA

Clusters of Attributes and Well-Being in the US.

Using ARIMA models and entropy, the dynamic evolution of several functions of aggregate income and other attributes of well-being is analyzed for statistical "similarity" in order to determine potentially distinct dimensions in multidimensional analysis of welfare and quality of life in the US. The entropy metric compares entire distributions and is more general than principal components and other correlation-based techniques for clustering. To help macroeconomic policy makers, we compare the distribution of several composite measures of well-being, including income, with the distribution of some common measures of aggregate income over the period 1915-1995.Time Series, Information Measures, Aggregate Well-being,Entropy

Two geometric representations of confidence intervals for ratios of linear combinations of regression parameters: An application to the NAIRU

We present two geometric representations of the Fieller confidence interval for the ratio of regression parameter estimates using standard statistics packages. These methods are used to interpret the estimation of the NAIRU for Australia.Fieller Method Confidence ellipse 1st derivative function Eviews Stata

Système spectrométrique interférentiel proposé pour l'Université de Wisconsin

The proposed device may include any number of gratings and Fabry-Perot etalons. The spectrum is scanned by varying the pressure. Perfect synchronism in the scanning of each element (grating or Fabry-Perot) is obtained simply by putting them all together in the same variable pressure chamber.Le dispositif proposé peut comprendre un ou plusieurs réseaux et un ou plusieurs Fabry-Perot. L'exploration du spectre est obtenue par variation de pression. Un synchronisme rigoureux entre les explorations pour les différents éléments (réseaux ou Fabry-Perot) est assuré simplement en les enfermant dans la même enceinte où l'on effectue la variation de pression

Inferential methods for elasticity estimates

Elasticities are often estimated from the results of demand analysis. However, drawing inferences from them may involve assumptions that could influence the outcome. In this paper we investigate one of the most common forms of elasticity which is defined as a ratio of estimated relationships and demonstrate how the Fieller method for the construction of confidence intervals can be used to draw inferences. We estimate the elasticities of expenditure from Engel curves using a variety of estimation models. Parametric Engel curves are modelled using OLS, MM robust regression, and Tobit. Semiparametric Engel curves are estimated using a penalized spline regression. We demonstrate the construction of confidence intervals of the expenditure elasticities for a series of expenditure levels as well as the estimated cumulative density function for the elasticity evaluated for a particular household.Engel curves Fieller method Tobit Robust regression Semiparametric

End use elasticities

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.9703(SEEDS--75) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A model of relative price elasticities from the second moments of demand

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.9703(SEEDS--74) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Contact Microscopy with a soft x-ray laser

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