A5058413191- Housing Market and Economics
- Spatial and Panel Data Analysis
- Aviation Industry Analysis and Trends
- Fiscal Policy and Economic Growth
- Regional Economics and Spatial Analysis
- Economic and Environmental Valuation
- Noise Effects and Management
- Financial Literacy, Pension, Retirement Analysis
- Transport and Economic Policies
- Transportation Planning and Optimization
- Global Health Care Issues
- Economic Growth and Productivity
- Housing, Finance, and Neoliberalism
- Healthcare Policy and Management
- Air Traffic Management and Optimization
- Global trade and economics
- Land Use and Ecosystem Services
- Financial Markets and Investment Strategies
- Health Systems, Economic Evaluations, Quality of Life
- Defense, Military, and Policy Studies
- Advanced Database Systems and Queries
- Regional Economic and Spatial Analysis
- Quantum Computing Algorithms and Architecture
- Substance Abuse Treatment and Outcomes
- Urban Green Space and Health
University of Connecticut
2015-2024
Federal Reserve Bank of St. Louis
2015-2024
Hudson Institute
2022
RWI – Leibniz Institute for Economic Research
2022
Malden Public Schools
2022
University of Illinois Chicago
2022
John Wiley & Sons (United States)
2022
Florida State University
2022
KBR (United States)
2022
Hartford Financial Services (United States)
2021
As massive data acquisition and storage becomes increasingly affordable, a wide variety of enterprises are employing statisticians to engage in sophisticated analysis. In this paper we highlight the emerging practice Magnetic, Agile, Deep (MAD) analysis as radical departure from traditional Enterprise Data Warehouses Business Intelligence. We present our design philosophy, techniques experience providing MAD analytics for one world's largest advertising networks at Fox Audience Network,...
As the size of graphs for analysis continues to grow, methods graph processing that scale well have become increasingly important. One way handle large datasets is disperse them across an array networked computers, each which implements simple sorting and accumulating, or MapReduce, operations. This cloud computing approach offers many attractive features. If decomposing useful operations in terms MapReduce cycles possible, it provides incentive seriously considering computing. Moreover, a...
Effects of public infrastructure investment on the costs and productivity private enterprises have proven difficult to quantify empirically. One piece this puzzle that has received little attention is spatial spillovers. We apply a cost-function model 1982–1996 state-level U.S. manufacturing data, untangle cost-saving effects inter- intrastate investment. implement two adaptations—including spillover index in theoretical model, allowing for autocorrelation stochastic structure. Recognizing...
ABSTRACT Despite the refrain that housing prices are determined by “location, location, and location,” few studies of airport noise have incorporated spatial econometric techniques. We compare various models estimation methods in a hedonic price framework to examine impact on 2003 near Atlanta airport. Spatial effects best captured model including both autocorrelation autoregressive parameters estimated generalized moments approach. In our preferred model, houses located an area which...
HAWQ, developed at Pivotal, is a massively parallel processing SQL engine sitting on top of HDFS. As hybrid MPP database and Hadoop, it inherits the merits from both parties. It adopts layered architecture relies distributed file system for data replication fault tolerance. In addition, standard compliant, unlike other engines fully transactional. This paper presents novel design including query processing, scalable software interconnect based UDP protocol, transaction management, tolerance,...
ABSTRACT We evaluate the impacts of enhanced transportation systems on property values for U.S. manufacturing firms, allowing higher‐order spatial error correlation. use a state‐level model production cost and input demand that recognizes productive contribution public infrastructure stocks. Our findings include significant shadow composition from both highway airport investment. also find these effects have dimension depends proximity transport system; at least one as many three lags are in...
ABSTRACT Using hedonic models, we analyze the effects of proximity and noise on housing prices in neighborhoods near Hartsfield‐Jackson Atlanta International Airport during 1995–2002. Proximity to airport is related positively prices. We address complications caused by changes over time levels geographic distribution fact that contours are measured infrequently. A general decline boosted After accounting for proximity, house characteristics, demographic variables, houses noisier areas sold...
Occurrence of lung granulomas in patients with stage I sarcoidosisY Rosen, JK Amorosa, S Moon, J Cohen and HA LyonsAudio Available | Share
This paper summarizes changes in housing prices during the recent U.S. boom and bust from various geographic perspectives.Nationally, Standard & Poor's/Case-Shiller house price index more than doubled nominal terms has fallen by roughly a third subsequently.During boom, tended to rise much faster metropolitan areas East West Coast regions country's interior.After adjusting for inflation, 7 of 19 have experienced real declines start present.Although lower-priced houses showed larger...
Environmental sustainability has become an important issue of concern throughout many countries. Among the sources include air pollution, effects which are often capitalized into house prices. In this article, we focus on pollution in city Changsha, China, and impacts new regulations relationship between exposure sales We use Air Quality Index (Aqi) data from 10 quality monitoring stations Changsha to interpolate a previous 12-month average Aqi value for each dwelling unit city, based...
The size and significance of public infrastructure investment impacts on costs productivity private enterprise, thus economic health growth, has proven nebulous to empirically substantiate. Various studies using alternative theoretical econometric methodologies, for different time periods, sectors, countries, have tentatively established that such a productive impact exists is statistically significant. It also seems smaller more variable over time, space, sector than was implied by initial...
U.S. ports serve a vital role in the nation's supply chain and international trade. While areas surrounding these bear external costs of port expansion (congestion, air noise pollution), neighboring regions feel benefits additional from activity. Given current debate over activity, it is important to quantify on industry home state states. This study assesses that transportation infrastructure plays production employment manufacturing industry. Using state-level data 48 contiguous states,...
Despite the refrain that housing prices are determined by "location, location, and location," no prior studies of airport noise have incorporated spatial econometric techniques. We compare various models estimation methods in a hedonic price framework to examine impact on 2003 values near Atlanta airport. Spatial effects best captured model including both autocorrelation autoregressive parameters estimated generalized moments approach. The inclusion magnifies negative impacts noise. Finally,...