Creating a Testable, Estimable Model to Inform Our Response to the Test-Score Gap Crisis

The test-score gap between black and white students should be seen as a crisis. We propose a testable model based on readily available data that will allow us to estimate the impact and interrelationships of a multitude of factors that may be partially responsible for the problem. The estimation of this model will require the joint efforts of experts in many areas of education as well as of experts in multilevel structural equation modeling.     

An Examination of Entry and Competitive Performance in Rural Banking Markets

This article explores the change in the level of competition in rural banking markets after the deregulation that occurred following passage of the Riegle‐Neal Act of 1994. Using an empirical model that utilizes both the number of banks and the value of deposits in a cross‐section of 278 rural markets, we decompose the impact of the entry of new banks into resulting changes in per capita demand and the costs/profits of local banks in 1994 and 2004. The results support the view that local banking markets have become more competitive since the mid‐1990s.     

The Effect of Health and Poverty on Early Childhood Cognitive Development

Although evidence of a link between socioeconomic status and child health has been researched extensively, much less attention has been devoted to studying the link between child health and cognitive development. This paper seeks to determine whether early childhood illnesses and poverty significantly impede cognitive development. The empirical model attempts to control for observed and unobserved heterogeneity through the use of panel data models. Results indicate that a child’s cognitive development is not directly related to health problems acquired after birth or socioeconomic standing. Rather, cognitive development is primarily influenced by unobserved child- and family-specific factors that happen to be correlated with health and socioeconomic status. On the other hand, birth weight appears to affect cognitive performance later in childhood, even after taking unobserved heterogeneity into account.     

Focusing on white space to improve patient throughput

When designing a new patient care process or modifying an existing one, healthcare leaders should: Set specific goals for frontline staff, Move beyond gathering and discussing data to acting on the data, Issue data reports frequently, Prepare to take advantage of success, Do not expect a silver bullet.     

Top management turnover,firm performance and government control: Evidence from China's listed state-owned enterprises

Using a sample of 916 Chinese listed state-owned enterprises (SOEs) from 2001 to 2005, we find that the likelihood of top management turnover is negatively associated with firm performance, suggesting the existence of an effective corporate governance mechanism in an emerging economy that is highly controlled by government. We also find that the negative turnover–performance relationship is stronger when the SOE is directly held by the central or local government, holding a monopolistic position in a local economy or in a strategic/regulated industry. The results indicate that the market-based corporate governance mechanism that disciplines top executives as a result of poor performance is not only used in Chinese SOEs, but is used more frequently when the governance control of SOEs is more intense. Our findings support the notion that government control strengthens rather than weakens the turnover–performance governance mechanism. Our additional analysis shows that this complementary effect is stronger in regions that lack pro-market institutions, such as investor protections and a functioning capital market.     

Why Are U.S. Stocks More Volatile?

U.S. stocks are more volatile than stocks of similar foreign firms. A firm's stock return volatility can be higher for reasons that contribute positively (good volatility) or negatively (bad volatility) to shareholder wealth and economic growth. We find that the volatility of U.S. firms is higher mostly because of good volatility. Specifically, stock volatility is higher in the United States because it increases with investor protection, stock market development, new patents, and firm‐level investment in R&D. Each of these factors is related to better growth opportunities for firms and better ability to take advantage of these opportunities.