Did Office Market Size Matter in the 1980s? A Time-Series Cross-Sectional Analysis of Metropolitan Area Office Markets

1992 ◽  
Vol 20 (2) ◽  
pp. 302-324 ◽  
Author(s):  
Henry O. Pollakowski ◽  
Susan M. Wachter ◽  
Lloyd Lynford
Keyword(s):  
Time Series ◽  
Metropolitan Area ◽  
Market Size ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Office Markets ◽  
Office Market ◽  
Sectional Analysis ◽  
Size Matter

The influence of welfare state factors on nursing professionalization and nursing human resources: A time‐series cross‐sectional analysis, 2000–2015

2019 ◽  
Vol 75 (11) ◽  
pp. 2797-2810 ◽  
Author(s):  
Virginia Gunn ◽  
Carles Muntaner ◽  
Edwin Ng ◽  
Michael Villeneuve ◽  
Montserrat Gea‐Sanchez ◽  
...  
Keyword(s):  
Time Series ◽  
Human Resources ◽  
Welfare State ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals International Migration and Turnout Bias

2019 ◽  
Vol 53 (1) ◽  
pp. 33-38
Author(s):  
Michael J. Wigginton ◽  
Daniel Stockemer ◽  
Jasmine van Schouwen
Keyword(s):  
Time Series ◽  
International Migration ◽  
Potential Bias ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Percentage Points ◽  
Voting Age ◽  
Migration Flows ◽  
Registered Voters ◽  
Sectional Analysis

ABSTRACTThis article focuses on two commonly used indicators of turnout, VAP turnout (the number of votes cast as a percentage of the voting-age population) and RV turnout (votes cast as a percentage of the number of registered voters), and discusses possible biases induced by migration flows. Using a global dataset on elections in more than 100 democracies between 1990 and 2012, we tested the potential bias induced by the percentage of resident noncitizens and nationals living abroad on VAP and RV turnout, respectively. Through time-series cross-sectional analysis, we found that the number of resident noncitizens negatively biases VAP turnout, to the extent that a country with 10% noncitizen residents would have turnout underreported by nearly 4 percentage points. In contrast, we found that the number of nationals living abroad does not induce a turnout bias.

scholarly journals Seroconversion of a city: Longitudinal monitoring of SARS-CoV-2 seroprevalence in New York City

2020 ◽  
Author(s):  
Daniel Stadlbauer ◽  
Jessica Tan ◽  
Kaijun Jiang ◽  
Matthew M. Hernandez ◽  
Shelcie Fabre ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
General Population ◽  
Metropolitan Area ◽  
York City ◽  
Mount Sinai Hospital ◽  
Plasma Samples ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

AbstractBy conducting a retrospective, cross-sectional analysis of SARS-CoV-2 seroprevalence in a ‘sentinel group’ (enriched for SARS-CoV-2 infections) and a ‘screening group’ (representative of the general population) using >5,000 plasma samples from patients at Mount Sinai Hospital in New York City (NYC), we identified seropositive samples as early as in the week ending February 23, 2020. A stark increase in seropositivity in the sentinel group started the week ending March 22 and in the screening group in the week ending March 29. By the week ending April 19, the seroprevalence in the screening group reached 19.3%, which is well below the estimated 67% needed to achieve community immunity to SARS-CoV-2. These data potentially suggest an earlier than previously documented introduction of SARS-CoV-2 into the NYC metropolitan area.One Sentence SummarySeroprevalence of SARS-CoV-2 in cross-sectional samples from New York City rose from 0% to 19.3% from early February to mid-April.

Performance of China’s advertising agencies: a time series cross-sectional analysis

2018 ◽  
Vol 24 (5) ◽  
pp. 656-674
Author(s):  
Guangchao Charles Feng ◽  
Yuting Zhang ◽  
Qiuyu Hu ◽  
Hong Cheng
Keyword(s):  
Time Series ◽  
Advertising Agencies ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis
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