Structural shifts in urban population density gradients: an empirical investigation

This study investigates the structural shifts in urban population density gradients by first using the shifting regression technique of Farley, Hinich, and McGuire to detect the possible change in the structure of an urban area. Secondly, a generalized random coefficient technique is used to simultaneously detect the possible structural change and stochastic behavior of density gradients. Data for 50 United States SMSA's are used to do the empirical analyses.     

An adjustment to the likelihood ratio statistic when testing hypotheses in the multivariate linear model using large samples: A note

Leamer's (1978) criterion for testing restrictions in the single equation linear model in which the level of significance decreases with sample size is generalized to the case of common, within equation linear restrictions in the multivariate linear model.     

Inflation and economic growth in LDCs

Economists find it difficult to reach agreement about the effects on economic growth of depreciation of the money value. One reason is that they define certain terms in different ways, another one is that many other factors as well as inflation have an impact on economic growth. They may intensify or compensate for positive and negative relations between inflation and economic growth.     

The quartiles of the maximum entropy distribution

The quartile points and interquartile range of the maximum entropy (ME) distribution and sample distribution are compared, using expected values for sampling from a standard normal population. For sample sizes n?20 such that the sample quartile points are uniquely defined, the ME quartile points and interquartile range are found to have lower mean-squared error (MSE).