International Economic Review 

About: International Economic Review is an academic journal published by Wiley-Blackwell. The journal publishes majorly in the area(s): Wage & General equilibrium theory. It has an ISSN identifier of 0020-6598. Over the lifetime, 3221 publications have been published receiving 212120 citations.

Male-Female Wage Differentials in Urban Labor Markets

Abstract: CULTURE, TRADITION, AND OVERT DISCRIMINATION tend to make restrictive the terms by which women may participate in the labor force. These influences combine to generate an unfavorable occupational distribution of female workers vis-a-vis male workers and to create pay differences between males and females within the same occupation. The result is a chronic earnings gap between male and female full-time, year-round workers. Unfortunately, explanations at this level of generality are mainly descriptive. It is the purpose of this paper to estimate the average extent of discrimination against female workers in the United States and to provide a quantitative assessment of the sources of male-female wage differentials.

The Adjustment of Stock Prices to New Information

Abstract: There is an impressive body of empirical evidence which indicates that successive price changes in individual common stocks are very nearly independent. Recent papers by Mandelbrot and Samuelson show rigorously that independence of successive price changes is consistent with an "efficient" market, i.e., a market that adjusts rapidly to new information. It is important to note, however, that in the empirical work to date the usual procedure has been to infer market efficiency from the observed independence of successive price changes. There has been very little actual testing of the speed of adjustment of prices to specijc kinds of new information. The prime concern of this paper is to examine the process by which common stock prices adjust to the information (if any) that is implicit in a stock split

Answering the skeptics: yes, standard volatility models do provide accurate forecasts*

Abstract: A voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using ARCH and stochastic volatility models. While most of these studies have documented highly significant in-sample parameter estimates and pronounced intertemporal volatility persistence, traditional ex-post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts. Contrary to this contention, we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications. New methods for improved ex-post interdaily volatility measurements based on high-frequency intradaily data are also discussed.