scholarly journals Housing Prices and the Skills Composition of Neighborhoods

2021 ◽  
Vol 4 ◽  
Author(s):  
Shahad Althobaiti ◽  
Saud Alghumayjan ◽  
Morgan R. Frank ◽  
Esteban Moro ◽  
Ahmad Alabdulkareem ◽  
...  
Keyword(s):  
San Francisco ◽  
Low Income ◽  
Cognitive Skills ◽  
Service Sector ◽  
Housing Prices ◽  
Housing Price ◽  
The United States ◽  
Skilled Workers ◽  
Cost Of Living ◽  
The Impact

In the United States (US), low-income workers are being pushed away from city centers where the cost of living is high. The effects of such changes on labor mobility and housing price have been explored in the literature. However, few studies have focused on the occupations and specific skills that identify the most susceptible workers. For example, it has become increasingly challenging to fill the service sector jobs in the San Francisco (SF) Bay Area because appropriately skilled workers cannot afford the growing cost of living within commuting distance. With this example in mind, how does a neighborhood's skill composition change as a result of higher housing prices? Are there certain skill sets that are being pushed to the geographical periphery of a city despite their essentialness to the city's economy? Our study focuses on the impact of housing prices with a granular view of skills compositions to answer the following question: Has the density of cognitive skill workers been increasing in a gentrified area? We hypothesize that, over time, low-skilled workers are pushed away from downtown or areas where high-skill establishments thrive. Our preliminary results show that high-level cognitive skills are getting closer to the city center indicating adaptation to the increase of median housing prices as opposed to low-level physical skills that got further away. We examined tracts that the literature indicates as gentrified areas and found a pattern in which there is a temporal increase in median housing prices and the number of business establishments coupled with an increase in the percentage of skilled cognitive workers.

scholarly journals Broadband Internet and Income Inequality

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Georges V. Houngbonon ◽  
Julienne Liang
Keyword(s):  
Income Inequality ◽  
Low Income ◽  
Instrumental Variable ◽  
High Speed ◽  
Service Sector ◽  
Internet Access ◽  
Skilled Workers ◽  
Broadband Internet ◽  
Instrumental Variable Estimation ◽  
The Impact

Abstract Digital technologies like the Internet can affect income inequality through increased demand for employment in manual and abstract jobs and reduced demand for employment in routine jobs. In this paper, we combine city-level income distribution and jobs data with broadband data from France to investigate the impact of broadband Internet access on income inequality. Using an instrumental variable estimation strategy, we find that broadband Internet reduces income inequality through increased employment in manual jobs. These effects increase with the availability of skilled workers and are significant in cities with a large service sector or high-speed Internet access. Further, the diffusion of broadband Internet comes with relatively greater benefits in low-income cities compared to high-income cities. Several robustness checks support these findings.

Big Tech on the Block: Examining the Impact of Tech Campuses on Local Housing Markets in the San Francisco Bay Area

2021 ◽  
pp. 089124242110361
Author(s):  
Karen Chapple ◽  
Jae Sik Jeon
Keyword(s):  
Real Estate ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
Housing Prices ◽  
Housing Price ◽  
Housing Markets ◽  
Difference In Differences ◽  
Bay Area ◽  
The Impact ◽  
The Relationship

The rapid growth of tech company headquarters such as Apple, Facebook, and Google could potentially put new pressure on the housing market in adjacent residential neighborhoods, in the form of housing price appreciation and real estate speculation. This article examines the relationship between the big tech corporate campuses and Silicon Valley/San Francisco housing markets using the Zillow (ZTRAX) transaction and tax assessor data. The authors compare real estate activity adjacent to new company locations with activity in nearby areas, conducting a difference-in-differences analysis to estimate changes in housing prices and speculation. They find that housing prices increase overall by an additional 7.1% in the immediate vicinity of the tech campus 2 years after arrival, with wide variation across campuses. The authors also identify significant real estate speculation occurring prior to firms’ arrival. This suggests that cities should take a proactive role in mitigating tech firm impacts on vulnerable adjacent neighborhoods.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi
Keyword(s):  
Low Income ◽  
Energy Content ◽  
Food Selection ◽  
The United States ◽  
United States Department ◽  
Micronutrient Deficiencies ◽  
Caloric Density ◽  
Low Income Families ◽  
The Cost ◽  
The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

scholarly journals “You run out of hope:” An Exploration of Low-Income Parents’ Experiences with Food Insecurity using Photovoice

2021 ◽  
pp. 1-21
Author(s):  
Payge Lindow ◽  
Irene H. Yen ◽  
Mingyu Xiao ◽  
Cindy W. Leung
Keyword(s):  
Food Insecurity ◽  
San Francisco ◽  
Low Income ◽  
Eating Behaviors ◽  
Comparative Method ◽  
Well Being ◽  
Structured Interviews ◽  
Unhealthy Eating ◽  
Low Income Families ◽  
The Impact

ABSTRACT Objective: Using an adaption of the Photovoice method, this study explored how food insecurity affected parents’ ability to provide food for their family, their strategies for managing household food insecurity, and the impact of food insecurity on their well-being. Design: Parents submitted photos around their families’ experiences with food insecurity. Afterwards, they completed in-depth, semi-structured interviews about their photos. The interviews were transcribed and analyzed for thematic content using the constant comparative method. Setting: San Francisco Bay Area, California, USA. Subjects: 17 parents (14 mothers and 3 fathers) were recruited from a broader qualitative study on understanding the experiences of food insecurity in low-income families. Results: Four themes were identified from the parents’ photos and interviews. First, parents described multiple aspects of their food environment that promoted unhealthy eating behaviors. Second, parents shared strategies they employed to acquire food with limited resources. Third, parents expressed feelings of shame, guilt, and distress resulting from their experience of food insecurity. And finally, parents described treating their children to special foods to cultivate a sense of normalcy. Conclusions: Parents highlighted the external contributors and internal struggles of their experiences of food insecurity. Additional research to understand the experiences of the food-insecure families may help to improve nutrition interventions targeting this structurally vulnerable population.

scholarly journals The Neighborhood Effects of a Place-Based Policy—Causal Evidence from Atlanta’s Economic Development Priority Areas

2021 ◽  
Vol 13 (12) ◽  
pp. 6808
Author(s):  
Yuxi Luo ◽  
Zhaohua Zhang ◽  
Jun Zheng ◽  
Diane Hite
Keyword(s):  
Economic Development ◽  
Low Income ◽  
Neighborhood Effects ◽  
Economic Status ◽  
Housing Prices ◽  
Labor Demand ◽  
Housing Price ◽  
Poverty Rate ◽  
Priority Areas ◽  
Positive Effects

Place-based policies refer to government efforts to enhance the economic performance of an area within its jurisdiction. Applying various difference in differences strategies, this study evaluates the neighborhood effects of a place-based policy—the Economic Development Priority Areas (EDPA) of Atlanta, Georgia, USA. Since the census block groups are locally defined and the boundaries may change over time, we defined the neighborhoods by creating a set of 0.25-mile- diameter circles evenly distributed across Atlanta, and used the created buffers as the comparison unit. The empirical estimates showed that EDPA designation significantly reduced poverty rate and increased housing price of EDPA neighborhoods but had no beneficial effects on population size and employment rate. The heterogeneous analysis with respect to different initial economic status of the neighborhoods showed a relative larger and significant effect of EDPA designation on low-income neighborhoods. The increasing labor demand induced by EDPA designation in low-income neighborhoods attracted more population to migrate in and put upward pressure on housing prices. The estimation results are robust when replacing the 0.25-mile-diameter circle neighborhoods with 0.5-mile-diameter circle neighborhoods. Although we found some positive effects of the EDPA program in Atlanta, it would be misguided to assume similar effects occur in other areas implementing place-based policies.

scholarly journals Standing on the shoulders of Giants: a citation analysis of the paediatric congenital heart disease literature

2021 ◽  
pp. 1-9
Author(s):  
Daniel P. Sew ◽  
Nigel E. Drury
Keyword(s):  
Citation Analysis ◽  
San Francisco ◽  
Citation Count ◽  
Case Series ◽  
Scientific Progress ◽  
The United States ◽  
Original Research ◽  
Prolific Author ◽  
Journal Citation Reports ◽  
The Impact

Abstract Objective: The citation history of a published article reflects its impact on the literature over time. We conducted a comprehensive bibliometric analysis to identify the most cited papers on CHD in children. Methods: One-hundred and ninety journals listed in Journal Citation Reports were accessed via Web of Science. Publications with 250 or more citations were identified from Science Citation Index Expanded (1900–2020), and those relating to structural CHD in children were reviewed. Articles were ranked by citation count and the 100 most cited were analysed. Results: The number of citations ranged from 2522 to 309 (median 431, IQR 356–518), with 35 published since 2000. All were written in English, most originated from the United States (74%), and were published in cardiovascular journals, with Circulation (28%) the most frequent. There were 86 original research articles, including 50 case series, 14 cohort studies, and 10 clinical trials. The most cited paper was by Hoffman JI and Kaplan S on the incidence of CHD. Thirteen authors had 4 or more publications in the top 100, all of whom had worked in Boston, Philadelphia, San Francisco, or Dallas, and the most prolific author was Newburger JW (9 articles). Conclusions: Citation analysis provides a historical perspective on scientific progress by assessing the impact of individual articles. Our study highlights the dominant position of US-based researchers and journals in this field. Most of the highly cited articles remain case series, with few randomised controlled trials in CHD appearing in recent years.

scholarly journals High food insecurity in Latinx families and associated COVID-19 infection in the Greater Bay Area, California

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
San Francisco ◽  
Employment Status ◽  
The United States ◽  
Household Food Security ◽  
Bay Area ◽  
Household Food ◽  
History Of ◽  
The Impact

Abstract Background Food insecurity impacts nearly one-in-four Latinx households in the United States and has been exacerbated by the novel coronavirus or COVID-19 pandemic. Methods We examined the impact of COVID-19 on household and child food security in three preexisting, longitudinal, Latinx urban cohorts in the San Francisco Bay Area (N = 375 households, 1875 individuals). Households were initially recruited during pregnancy and postpartum at Zuckerberg San Francisco General Hospital (ZSFG) and UCSF Benioff prior to the COVID-19 pandemic. For this COVID-19 sub-study, participants responded to a 15-min telephonic interview. Participants answered 18 questions from the US Food Security Food Module (US HFSSM) and questions on types of food consumption, housing and employment status, and history of COVID-19 infection as per community or hospital-based testing. Food security and insecurity levels were compared with prior year metrics. Results We found low levels of household food security in Latinx families (by cohort: 29.2%; 34.2%; 60.0%) and child food security (56.9%, 54.1%, 78.0%) with differences between cohorts explained by self-reported levels of education and employment status. Food security levels were much lower than those reported previously in two cohorts where data had been recorded from prior years. Reported history of COVID-19 infection in households was 4.8% (95% Confidence Interval (CI); 1.5–14.3%); 7.2% (95%CI, 3.6–13.9%) and 3.5% (95%CI, 1.7–7.2%) by cohort and was associated with food insecurity in the two larger cohorts (p = 0.03; p = 0.01 respectively). Conclusions Latinx families in the Bay Area with children are experiencing a sharp rise in food insecurity levels during the COVID-19 epidemic. Food insecurity, similar to other indices of poverty, is associated with increased risk for COVID-19 infection. Comprehensive interventions are needed to address food insecurity in Latinx populations and further studies are needed to better assess independent associations between household food insecurity, poor nutritional health and risk of COVID-19 infection.

The Impact of Regional Differences in Prices and Wages on Economic Growth: The United States in 1890

1979 ◽  
Vol 39 (1) ◽  
pp. 69-85 ◽  
Author(s):  
Philip R. P. Coelho ◽  
James F. Shepherd
Keyword(s):  
United States ◽  
Well Being ◽  
The United States ◽  
City Size ◽  
Cost Of Living ◽  
Real Wages ◽  
Industrial Growth ◽  
Wage Earners ◽  
The Cost ◽  
The Impact

Differences in regional prices and wages are examined for the United States in 1890, together with the relationship between the cost of living and city size, and the determinants of regional industrial growth. Results indicate that regional cost-of-liying differences were sufficiently large so that money wages cannot be used for purposes of comparing the economic well-being of wage earners across regions. Except for the South, money wages and the cost of living were positively correlated. The relative differences in money wages, however, were greater; consequently real wages in high wage-price areas were generally higher.

Bankruptcy filings, flooding, real estate prices and Leading Index

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Billie Ann Brotman
Keyword(s):  
Housing Prices ◽  
The United States ◽  
Flood Insurance ◽  
Single Family ◽  
Personal Bankruptcy ◽  
Content Type ◽  
Independent Variables ◽  
Flooding Event ◽  
Flooding Events ◽  
The Impact

PurposeFlood damage to uninsured single-family homes shifts the entire burden of costly repairs onto the homeowner. Homeowners in the United States and in much of Europe can purchase flood insurance. The Netherlands and Asian countries generally do not offer flood insurance protection to homeowners. Uninsured households incur the entire cost of repairing/replacing properties damaged due to flooding. Homeowners’ policies do not cover damage caused by flooding. The paper examines the link between personal bankruptcy and the severity of flooding events, property prices and financial condition levels.Design/methodology/approachA fully modified ordinary least squares (FMOLS) regression model is developed which uses personal bankruptcy filings as its dependent variable during the years 2000 through 2018. This time-series model considers the association between personal bankruptcy court filings and costly, widespread flooding events. Independent variables were selected that potentially act as mitigating factors reducing bankruptcy filings.FindingsThe FMOLS regression results found a significant, positive association between flooding events and the total number of personal bankruptcy filings. Higher flooding costs were associated with higher bankruptcy filings. The Home Price Index is inversely related to the bankruptcy dependent variable. The R-squared results indicate that 0.65% of the movement in the dependent variable personal bankruptcy filings is explained by the severity of a flooding event and other independent variables.Research limitations/implicationsThe severity of the flooding event is measured using dollar losses incurred by the National Flood Insurance program. A macro-case study was undertaken, but the research results would have been enhanced by examining local areas and demographic factors that may have made bankruptcy filing following a flooding event more or less likely.Practical implicationsThe paper considers the impact of the natural disaster flooding on bankruptcy rates filings. The findings may have implications for multi-family properties as well as single-family housing. Purchasing flood insurance generally mitigates the likelihood of severe financial risk to the property owner.Social implicationsNatural flood insurance is underwritten by the federal government and/or by private insurers. The financial health of private property insurers that underwrite flooding and their ability to meet losses incurred needs to be carefully scrutinized by the insured.Originality/valuePrior studies analyzing the linkages existing between housing prices, natural disasters and bankruptcy used descriptive data, mostly percentages, when considering this association. The study herein posits the same questions as these prior studies but used regression analysis to analyze the linkages. The methodology enables additional independent variables to be added to the analysis.

scholarly journals Impact of the first COVID-19 shelter-in-place order in the United States on emergency department utilization, Marin County, California

2020 ◽  
Author(s):  
Brett R. Bayles ◽  
Michaela F George ◽  
Haylea Hannah ◽  
Patti Culross ◽  
Rochelle R. Ereman ◽  
...  
Keyword(s):  
United States ◽  
San Francisco ◽  
Large Scale ◽  
Temporal Dynamics ◽  
The United States ◽  
Emergency Department Utilization ◽  
Marin County ◽  
Before And After ◽  
Ed Visits ◽  
The Impact

Background: The first shelter-in-place (SIP) order in the United States was issued across six counties in the San Francisco Bay Area to reduce the impact of COVID-19 on critical care resources. We sought to assess the impact of this large-scale intervention on emergency departments (ED) in Marin County, California. Methods: We conducted a retrospective descriptive and trend analysis of all ED visits in Marin County, California from January 1, 2018 to May 4, 2020 to quantify the temporal dynamics of ED utilization before and after the March 17, 2020 SIP order. Results: The average number of ED visits per day decreased by 52.3% following the SIP order compared to corresponding time periods in 2018 and 2019. Both respiratory and non-respiratory visits declined, but this negative trend was most pronounced for non-respiratory admissions. Conclusions: The first SIP order to be issued in the United States in response to COVID-19 was associated with a significant reduction in ED utilization in Marin County.

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