Estimating associations between annual concentrations of particulate matter and mortality in the US, using data linkage and Bayesian Maximum Entropy

Epidemiology ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jacqueline E. Rudolph ◽  
Stephen R. Cole ◽  
Jessie K. Edwards ◽  
Eric A. Whitsel ◽  
Marc L. Serre ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Maximum Entropy ◽  
Data Linkage ◽  
Bayesian Maximum Entropy ◽  
The Us ◽  
Using Data

EXPRESS: Commercial Success through Commercials? Advertising and Pay TV Operators

2021 ◽  
pp. 002224372110281
Author(s):  
Joonhyuk Yang ◽  
Jung Youn Lee ◽  
Pradeep K. Chintagunta
Keyword(s):  
Television Advertising ◽  
Service Market ◽  
Unit Costs ◽  
Cost Efficiencies ◽  
Pay Television ◽  
National Advertising ◽  
The Us ◽  
Television Service ◽  
Asymmetric Cost ◽  
Using Data

The US pay television service market had been dominated by cable operators until the nationwide entry of satellite operators in the early 1990s. The latter have been consistently growing their footprints since. This study documents the role of television advertising to explain the success. Using data on US households’ subscription choices and operators’ advertising decisions, the authors document both demand- and supply-side conditions conducive to the growth of the satellite operators. First, the authors find consumers in this market were sensitive to advertising, and especially so to that of the satellite operators (ad-elasticities of about .05-.06 for satellite operators vs. .02 for cable operators). The authors employ a border strategy to demonstrate advertising-elastic demand and discuss its robustness to potential threats to identification. Second, the authors provide suggestive evidence that a form of asymmetric cost efficiencies in television advertising benefited the entrants more than the incumbents. Specifically, the unit costs of local advertising tend to be higher than of national advertising, which likely allowed the satellite operators to better leverage their national presence with (cheaper) national advertising. Overall, this study highlights the interaction between advertising efficiencies and the scale of entry in explaining the competition between market incumbents and entrants.

scholarly journals Measuring Historical Urban Neighborhood Sustainability: America’s Grand Avenues

2021 ◽  
Vol 13 (3) ◽  
pp. 1358
Author(s):  
Michael R. Greenberg
Keyword(s):  
New York ◽  
New York City ◽  
Kansas City ◽  
White Supremacy ◽  
Urban Neighborhood ◽  
Industrial Cities ◽  
The Us ◽  
Education Medical ◽  
Using Data ◽  
Us Cities

From 1850 through approximately 1920, wealthy entrepreneurs and elected officials created “grand avenues” lined by mansions in New York City, Chicago, Detroit, and other developing US cities. This paper examines the birthplaces of grand avenues to determine whether they have remained sustainable as magnets for healthy and wealthy people. Using data from the US EPA’s EJSCREEN system and the CDC’s 500 cities study across 11 cities, the research finds that almost every place where a grand avenue began has healthier and wealthier people than their host cities. Ward Parkway in Kansas City and New York’s Fifth Avenue have continued to be grand. Massachusetts Avenue in Washington, D.C., Richmond’s Monument Avenue, St. Charles Avenue in New Orleans, and Los Angeles’s Wilshire Boulevard are national and regional symbols of political power, culture and entertainment, leading to sustainable urban grand avenues, albeit several are challenged by their identification with white supremacy. Among Midwest industrial cities, Chicago’s Prairie Avenue birthplace has been the most successful, whereas the grand avenues of St. Louis, Cleveland, Detroit, and Buffalo have struggled, trying to use higher education, medical care, and entertainment to try to rebirth their once pre-eminent roles in their cities.

Absence of the weekend effect and industry-style portfolios

2019 ◽  
Vol 12 (4) ◽  
pp. 463-475
Author(s):  
Selma Izadi ◽  
Abdullah Noman
Keyword(s):  
New York ◽  
Stock Market ◽  
Structural Breaks ◽  
Stock Exchange ◽  
Structural Break ◽  
Weekend Effect ◽  
Content Type ◽  
Market Portfolio ◽  
The Us ◽  
Using Data

Purpose The existence of the weekend effect has been reported from the 1950s to 1970s in the US stock markets. Recently, Robins and Smith (2016, Critical Finance Review, 5: 417-424) have argued that the weekend effect has disappeared after 1975. Using data on the market portfolio, they document existence of structural break before 1975 and absence of any weekend effects after that date. The purpose of this study is to contribute some new empirical evidences on the weekend effect for the industry-style portfolios in the US stock market using data over 90 years. Design/methodology/approach The authors re-examine persistence or reversal of the weekend effect in the industry portfolios consisting of The New York Stock Exchange (NYSE), The American Stock Exchange (AMEX) and The National Association of Securities Dealers Automated Quotations exchange (NASDAQ) stocks using daily returns from 1926 to 2017. Our results confirm varying dates for structural breaks across industrial portfolios. Findings As for the existence of weekend effects, the authors get mixed results for different portfolios. However, the overall findings provide broad support for the absence of weekend effects in most of the industrial portfolios as reported in Robins and Smith (2016). In addition, structural breaks for other weekdays and days of the week effects for other days have also been documented in the paper. Originality/value As far as the authors are aware, this paper is the first research that analyzes weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

Enhancement of Radar Imagery by Maximum Entropy Processing

1977 ◽  
Vol 21 (3) ◽  
pp. 241-243 ◽  
Author(s):  
Clanton E. Mancill
Keyword(s):  
Maximum Entropy ◽  
Signal To Noise Ratio ◽  
Super Resolution ◽  
Doppler Frequency ◽  
Frequency Measurement ◽  
Entropy Method ◽  
Frequency Resolution ◽  
Sampled Data ◽  
Maximum Entropy Spectrum ◽  
Using Data

The maximum entropy spectrum (MES), a sampled data power spectrum estimator, is applied to the enhancement of imagery obtained by synthetic array radar (SAR) imaging systems. MES offers better frequency resolution than conventional Fourier transform methods for certain signal classes. Since azimuth ground resolution in SAR systems is obtained by doppler frequency measurement of the radar return, the method is capable of enhancing the resolution of SAR maps. The principal signal requirement is adequate signal-to-noise ratio. The maximum entropy method has been tested using data obtained by the Hughes FLAMR radar system. The super-resolution capabilities of the method are demonstrated using FLAMR images of corner reflector arrays.

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