Data DNA: The Next Generation of Statistical Metadata

Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users

Income Diversity and the Context of Community Development

The report "Income Diversity and the Context of Community Development" presents the MCIC Income Diversity Index: a three-decade retrospective analysis that seeks to establish a framework to describe patterns of neighborhood economic change in the City of Chicago. This analysis of household income data from the U.S. Census (1970-2000) shows that, while some wealthy Chicago neighborhoods have gotten richer and some poor neighborhoods have gotten poorer, many Chicago neighborhoods are remarkably stable.After researching and developing an innovative, new measure of income diversity, MCIC has identified four distinct patterns of neighborhood economic change in the City of Chicago, since 1970:1) Emerging high net worth2) Emerging low net worth3) Emerging bipolarity4) Stable diversityMCIC identified patterns for each of the 77 Chicago Community Areas to provide an important context for community development strategies.For example, in an Emerging High Income neighborhood (21 in all), the high-income population is increasing and the low-income population is decreasing. Development strategies in these areas should focus on protecting low- to moderate- income households from radical displacement and encourage the use of upgraded public and commercial services.An Emerging Low Income neighborhood, on the other hand, tracks a decline in the high-income population and an increase in the low-income population. In these communities, development efforts should focus on developing infrastructure, investing in buildings and retaining moderate- to high-income households.Additionally, the MCIC study identifies a disturbing "Desertification" trend among half of Chicago's 22 Emerging Low Income communities. In these neighborhoods, disinvestment and neglect have driven away middle- and high- income households.The City's 15 "Bipolar" neighborhoods have seen increases in both high- and low-income residents, and the remaining 19 communities maintain stable, economically diverse populations.Based on household income data from the U.S. Census, the MCIC analysis does not track change in income diversity since the year 2000. However, it does illustrate income trends that provide useful context and baseline data for community development strategists

The employment impact of business investment incentives in declining areas: an evaluation of the EU “Objective 2 Area” programs.

Beginning in 1989, the European Union started targeting its Structural Funds business incentives geographically to industrial areas that have been facing above average unemployment and industrial job loss. Although billions of euros have been invested in these Objective 2 areas, very little is known about the effectiveness of these public expenditures. This paper develops an estimation strategy utilizing parametric difference in difference specifications to estimate the impact of business incentives offered in the Objective 2 areas of central and northern Italy between 1995 and 1998. The paper finds the incentives to be most effective in the areas that faced the least pre-intervention employment loss.Urban and regional economic development; impact evaluation; employment policy; Structural Funds

A regional land use survey based on remote sensing and other data: A report on a LANDSAT and computer mapping project, volume 2

The author has identified the following significant results. The project mapped land use/cover classifications from LANDSAT computer compatible tape data and combined those results with other multisource data via computer mapping/compositing techniques to analyze various land use planning/natural resource management problems. Data were analyzed on 1:24,000 scale maps at 1.1 acre resolution. LANDSAT analysis software and linkages with other computer mapping software were developed. Significant results were also achieved in training, communication, and identification of needs for developing the LANDSAT/computer mapping technologies into operational tools for use by decision makers