Sample Selection Bias and Major Determinants on the Use of YouTube Political News Channels

2021 ◽  
Vol 55 (5) ◽  
pp. 93-118
Author(s):  
JeongHun Han
Keyword(s):  
Selection Bias ◽  
Sample Selection ◽  
Sample Selection Bias ◽  
Political News

scholarly journals Heterogeneous Causal Effects and Sample Selection Bias

2015 ◽  
Vol 2 ◽  
pp. 351-369 ◽  
Author(s):  
Richard Breen ◽  
Seungsoo Choi ◽  
Anders Holm
Keyword(s):  
Selection Bias ◽  
Sample Selection ◽  
Causal Effects ◽  
Sample Selection Bias

Face Hallucination Based On Sample Selection Bias Correction

2012 ◽  
Vol 4 (5) ◽  
pp. 91-98
Author(s):  
Tao Lu ◽  
Ruimin Hu ◽  
Zhen Han ◽  
Junjun Jiang ◽  
Jun Chang
Keyword(s):  
Selection Bias ◽  
Bias Correction ◽  
Sample Selection ◽  
Sample Selection Bias ◽  
Face Hallucination

Diagnosing Sample-Selection Bias in Historical Heights: A Reply to Komlos and A’Hearn

2019 ◽  
Vol 79 (4) ◽  
pp. 1154-1175 ◽  
Author(s):  
Howard Bodenhorn ◽  
Timothy W. Guinnane ◽  
Thomas A. Mroz
Keyword(s):  
Economic Growth ◽  
Nineteenth Century ◽  
Selection Bias ◽  
Economic History ◽  
Sample Selection ◽  
Sample Selection Bias ◽  
Conditional Mean

Our 2017 article in this Journal stresses the pitfalls of using choice-based samples in economic history. A prominent example is the literature addressing the so-called antebellum puzzle. Heights researchers claim that Americans grew shorter in the first half of the nineteenth century, a period of robust economic growth. We argue that this result relies on choice-based samples. Without knowing the process that led to inclusion in the sample, researchers cannot properly estimate conditional mean heights. We proposed a diagnostic that can detect, but not correct for, selection bias. Komlos and A’Hearn’s interpretation of our analysis confuses diagnosis with cure. We dispute their view that selection bias has been appreciated in the heights literature.

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