170,932 research outputs found

    Sustainability and the City: New Kensington CDC's Sustainable 19125 Initiative

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    New Kensington Community Development Corporation (NKCDC), an organization long dedicated to revitalizing the East Kensington, Fishtown, and Port Richmond neighborhoods of Philadelphia, launched an urban sustainability initiative in 2009 called "Sustainable 19125." The initiative's goal is to make the 19125 ZIP code the most sustainable ZIP code in the city

    Determinants of Youth Poverty: A Zip Code Analysis

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    Estimation of Gini coefficients for various age groups indicates that Kentucky youth population is at risk. The paper determines the factors affecting youth poverty, employing Zip Code data. Analysis of outcomes provides suggestions for the policymakers to limit youth poverty in Kentucky.youth, poverty, Zip Code, gini coefficient, lorenz curve, logit model, Food Security and Poverty, I32, I39, R11,

    Are Peer Effects Present in Residential Solar Installations? Evidence from Minnesota and Wisconsin

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    There are geographic differences in the rate of adoption of residential photovoltaic (PV) solar. Are adoption rates in small scale localities (counties and zip codes) influenced by previous, nearby adoptions? This paper adds to the literature on Peer Effects with an analysis of Minnesota and Wisconsin zip codes. I use residential adoption data from the OpenPV Project in an empirical analysis of social interactions. My findings indicate that there is a small but significant effect of nearby adoptions at the zip code level. These peer effects are shown to be nuanced by policy incentives such as the XCEL Solar Rewards Program. I additionally engage in a case study analysis of the relationship of some localities

    A Network Model of Alcoholism and Alcohol Policy

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    The evolution of alcohol dependence in populations of people on different social networks is studied. Two models are studied. One is the evolution of the states of individuals on hypothesized social structures from a rewired connected caveman model. This model spans a range of social structures (networks) from very ordered to effectively random with small world structures in between. The second model is a zip-code-level model which uses data from a recent survey in Delaware. The model is a discrete model using 10 zip codes. The results show that the evolution of alcohol dependence, as governed by the simple rules that we use, depends sensitively on the network structure and a hypothetical treatment regime

    Cost-Effectiveness of Stronger Woodframe Buildings

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    We examine the cost-effectiveness of improvements in woodframe buildings. These include retrofits, redesign measures, and improved quality in 19 hypothetical woodframe dwellings. We estimated cost-effectiveness for each improvement and each zip code in California. The dwellings were designed under the CUREE-Caltech Woodframe Project. Costs and seismic vulnerability were determined on a component-by-component basis using the Assembly Based Vulnerability method, within a nonlinear time-history structural-analysis framework and using full-size test specimen data. Probabilistic site hazard was calculated by zip code, considering site soil classification, and integrated with vulnerability to determine expected annualized repair cost. The approach provides insight into uncertainty of loss at varying shaking levels. We calculated present value of benefit to determine cost-effectiveness in terms of benefit-cost ratio (BCR). We find that one retrofit exhibits BCRs as high as 8, and is in excess of 1 in half of California zip codes. Four retrofit or redesign measures are cost-effective in at least some locations. Higher quality is estimated to save thousands of dollars per house. Results are illustrated by maps for the Los Angeles and San Francisco regions and are available for every zip code in California

    An autoregressive approach to house price modeling

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    A statistical model for predicting individual house prices and constructing a house price index is proposed utilizing information regarding sale price, time of sale and location (ZIP code). This model is composed of a fixed time effect and a random ZIP (postal) code effect combined with an autoregressive component. The former two components are applied to all home sales, while the latter is applied only to homes sold repeatedly. The time effect can be converted into a house price index. To evaluate the proposed model and the resulting index, single-family home sales for twenty US metropolitan areas from July 1985 through September 2004 are analyzed. The model is shown to have better predictive abilities than the benchmark S&P/Case--Shiller model, which is a repeat sales model, and a conventional mixed effects model. Finally, Los Angeles, CA, is used to illustrate a historical housing market downturn.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS380 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Unauthorized Immigrants in California: Estimates for Counties

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    Estimates changes in unauthorized immigrant populations between 2001 and 2008 by county and zip code, including percentage of total population. Discusses the challenges of obtaining accurate counts and implications for policy

    The Importance of Broadband Provision to Knowledge Intensive Firm Location

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    Despite the volume of literature afforded knowledge work and innovations in information and communications technologies (ICTs), few studies have examined the importance of ICTs to knowledge industries and the impact of their availability on firm location decisions. This study will evaluate the relative importance of ICTs to knowledge intensive firm location for select US metropolitan statistical areas (MSAs). Spatial econometric estimation techniques are used to construct models from ZIP code level data that describe the relative importance of broadband to knowledge intensive industries, as defined in this study. A global model is constructed for all relevant ZIP code areas across the continental U.S and the results are compared to metropolitan specific models. In addition to demonstrating variations by metropolitan area in the relative importance of broadband provision, the results suggest that broadband deployment initiatives will have varied outcomes on knowledge intensive firm growth and the subsequent change in the industrial composition of regional economies in future years.
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