A COMPANION TO Theoretical Econometrics

Nonparametric Tests of Inequality Restrictions

All of the above models and hypotheses were concerned with comparing means and/or variance parameters of either known or asymptotically normal distribu­tions. We may not know the distributions and/or be interested in comparing more general characteristics than the first few moments, and the distributions being compared may not be from the same family. All of these situations require a nonparametric development that can also deal with ordered hypotheses.

Order relations between distributions present one of the most important and exciting areas of development in economics and finance. These include stochastic dominance relations which in turn include Lorenz dominance, and such others as likelihood and uniform orders. Below we focus on the example of stochastic dominance (SD) of various orders. An account of the definitions and tests is first given, followed by some applications.

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A COMPANION TO Theoretical Econometrics

Normality tests

Let us now consider the fundamental problem of testing disturbance normality in the context of the linear regression model: Y = Xp + u, (23.12) where Y = (y1, ..., …

Univariate Forecasts

Univariate forecasts are made solely using past observations on the series being forecast. Even if economic theory suggests additional variables that should be useful in forecasting a particular variable, univariate …

Further Research on Cointegration

Although the discussion in the previous sections has been confined to the pos­sibility of cointegration arising from linear combinations of I(1) variables, the literature is currently proceeding in several interesting …

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