Suchergebnisse

Presentation to President and Provost on outcome of Institute for Society, Culture and Environment Research Support Program Funding ; false (Extension publication?)

Nonparametric density estimates and a generalized decomposition technique are
employed to explore the role that changes in family structure in the 1980s and 1990s
played in observed shifts in the U.S. distribution of family economic well-being. Single-parent
families are identified as playing a key role in shaping the incidence and distribution
of economic well-being below two times the poverty line. Most notably,
the increased incidence of persons in families below one-half the poverty line can be
traced to both an increase in the share of single-parent families and an increase in
the propensity of single-parent families to reside at these very low levels of economic
well-being. Decompositions further trace the increased incidence of single-parent
families below one-half the poverty line to those without a working adult and those
without a head with a high-school degree.

Non‐metropolitan areas of the U.S have experienced significant structural economic changes in recent decades. These changes have raised concerns that some non‐metropolitan workers may face significant costs to employment displacements associated with economic adjustments. This paper explores the roles that linkages to metropolitan labor markets, area labor market conditions, and individual attributes play in determining the rates of exit from unemployment to employment among non‐metropolitan area residents. Adjacency to a metropolitan area is found to significantly increase transition rates from unemployment to employment among displaced non‐metropolitan workers, but local economic conditions are found to have relatively weak or insignificant effects on transition rates. Also, lack of post‐high school education and minority status both significantly reduce rates of exit from unemployment in non‐metropolitan areas following employmentdisplacement.

Relationships between measures of household energy use behavior and household characteristics are estimated using a unique dataset of approximately 5000 households in 10 EU countries and Norway. Family age-composition patterns are found to have a distinct impact on household energy use behavior. Households with young children are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy savings for environmental reasons. By contrast, households with a high share of elderly members place more importance on financial savings, and have lower levels of technology adoption, energy conservation practice use, and knowledge about household energy use. Education levels also matter, with higher levels associated with energy-efficient technology adoption and energy conservation practice use. Similarly, university education increases the stated importance of energy savings for greenhouse gas reductions and decreases the stated importance for financial reasons. Education impacts also vary greatly across survey countries and there is some evidence of an Eastern–Western European divide with respect to attitudes towards energy savings. These cross-country differences highlight the need to balance a common EU energy-efficiency policy framework with flexibility for country specific policies to address unique constraints to energy-efficient technology and conservation practice adoption.

The impact of the low‐income home energy assistance program (LIHEAP), the single largest energy assistance program available to poor households in the United States has received little rigorous attention. If LIHEAP participation significantly improves low‐income household energy security, funding cuts or eliminating the program could negatively impact the poor. This article empirically estimates the impact of LIHEAP on household energy security. The results indicate participation in LIHEAP significantly increases energy security in low‐income households. Simulations suggest that elimination of the current household energy‐assistance safety net will decrease the number of low‐income energy secure households by over 17%. (JEL I38, Q48)

Abstract A consistent gap exists between home Internet use in metropolitan areas and in non‐metropolitan areas in the U.S. This digital divide may stem from technology differences in home Internet connectivity. Alternatively, differences in education, income, and other household attributes may explain differences in metropolitan and non‐metropolitan area home Internet access. Effective programs to reduce the metropolitan–non‐metropolitan digital divide must be based on an understanding of the relative roles that technology and household characteristics play in determining differential Internet usage. The household Internet adoption decision is modeled using a logit estimation approach with data from the 2001 U.S. Current Population Survey Internet and Computer Use Supplement. A decomposition of separate metropolitan and non‐metropolitan area estimates shows that differences in household attributes, particularly education and income, account for 63 percent of the current metropolitan–non‐metropolitan digital divide. The result raises significant doubts that policies which focus solely on infrastructure and technology access will mitigate the current metropolitan–non‐metropolitan digital divide.