Predictors of Regional Well-Being: A County Level Analysis

Lawless, Nicole M.; Lucas, Richard E.

doi:10.1007/s11205-010-9667-7

Cited by 120 publications

(114 citation statements)

References 41 publications

(47 reference statements)

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“…BLANCHFLOWER and OSWALD (2004), for instance, found a negative relationship between unemployment and happiness at the individual level. LAWLESS and LUCAS (2010) found a sizeable negative correlation between unemployment and happiness at the county level.…”

Section: Other Factors That Contribute To Happiness and Well-beingmentioning

confidence: 93%

“…Using a measure of well-being derived from the Gallup-Heathways survey, RENTFROW et al (2009) found a close correlation between human capital and happiness at the state level. More recently, LAWLESS and LUCAS (2010) examined the effects of human capital as well as other variables on subjective well-being across US counties. Their measure of subjective well-being was based on state surveys of life satisfaction collected by the Centers for Disease Control and the Prevention Behavioral Risk Factor Surveillance System.…”

Section: The Role Of Human Capitalmentioning

confidence: 99%

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The Happiness of Cities

Florida¹,

Mellander

Rentfrow³

2013

Regional Studies

194

104

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The happiness of cities, Regional Studies. This research examines the factors that shape the happiness of cities, whereas much of the existent literature has focused on the happiness of nations. It is argued that in addition to income, which has been found to shape national-level happiness, human capital levels will play an important role in the happiness of cities. Metropolitan-level data from the 2009 Gallup-Healthways Survey are used to examine the effects of human capital on city happiness, controlling for other factors. The findings suggest that human capital plays the central role in the happiness of cities, outperforming income and every other variable. HappinessWell FLORIDA R., MELLANDER C. y RENTFROW P. J. La felicidad de las ciudades, Regional Studies. En este estudio examinamos qué factores repercuten en la felicidad de las ciudades, mientras que en la mayoría de la bibliografía existente se ha prestado más atención a la felicidad de las naciones. Sostenemos que además de los ingresos, que se ha observado que determinan la felicidad a nivel nacional, los niveles de capital humano desempeñan un importante papel en la felicidad de las ciudades. Utilizamos datos recabados en una encuesta realizada por Gallup-Healthways en 2009 en un marco metropolitano para examinar los efectos del capital humano Regional Studies, 2013 Vol. 47, No. 4, 613-627, http://dx

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Section: Other Factors That Contribute To Happiness and Well-beingmentioning

confidence: 93%

Section: The Role Of Human Capitalmentioning

confidence: 99%

The Happiness of Cities

Florida¹,

Mellander

Rentfrow³

2013

Regional Studies

194

104

View full text Add to dashboard Cite

show abstract

“…These results hold few surprises we all know how much we love our weekends and crave sunlight but they do start to validate Twitter as a reliable signal of affective functioning. Schwartz et al (2013) also validated the use of Twitter data in characterizing geographic variations in wellbeing, compared to traditional phone surveys about life satisfaction (Lawless and Lucas 2011). In this experiment, about a billion tweets were gathered and, where possible, mapped onto counties in the United States.…”

Section: Twittermentioning

confidence: 95%

Natural language processing in mental health applications using non-clinical texts

Calvo¹,

Milne²,

Hussain³

et al. 2017

Nat. Lang. Eng.

229

148

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Natural language processing (NLP) techniques can be used to make inferences about peoples' mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways to direct people to health information and assistance and also to generate personalized interventions. Regrettably, the computational methods used to collect, process and utilize online writing data, as well as the evaluations of these techniques, are still dispersed in the literature. This paper provides a taxonomy of data sources and techniques that have been used for mental health support and intervention. Specifically, we review how social media and other data sources have been used to detect emotions and identify people who may be in need of psychological assistance; the computational techniques used in labeling and diagnosis; and finally, we discuss ways to generate and personalize mental health interventions. The overarching aim of this scoping review is to highlight areas of research where NLP has been applied in the mental health literature and to help develop a common language that draws together the fields of mental health, human-computer interaction and NLP.

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“…Prior studies also indicate aggregate measures of age [9,46,53], education levels [54], immigration levels [55], and access to healthcare [56] to be determinants of individual happiness. Similarly, regional disability rates have been found to correlate with levels of happiness, particularly when the disability is most likely to affect work outcome [32]. Thus, for our study, region-wide household income, unemployment rate, median age, proportion with greater than a high school education, proportion foreign-born, proportion disabled, proportion renting, and proportion with health insurance coverage were included specifically to control for the important effects of these variables on happiness.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, it is important that we understand the urban transportation factors that affect regional quality of life, as reported impacts [2]. For example, the longer our commute, the more likely it is that we will be unhappy [17,31,32]. Additionally, people who drive for long periods of time are likely to become sedentary [33], stressed, or bored [17].…”

Section: Introductionmentioning

confidence: 99%

Measures of a Sustainable Commute as a Predictor of Happiness

et al. 2017

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Abstract:The ways in which we travel-by what mode, for how long, and for what purpose-can affect our sense of happiness and well-being. This paper assesses the relationships between measures of the sustainability of transportation systems in U.S. metropolitan areas and subjective well-being. Associations between self-reported happiness levels from the Gallup Healthways Well-being Index and commute data were examined for 187 core-based statistical areas (CBSA). We also supplement this quantitative analysis through brief case studies of high-and low-performing happiness cities. Our quantitative results indicate that regions with higher commute mode shares by non-automobile modes generally had higher well-being scores, even when controlling for important economic predictors of happiness. We also find that pro-sustainable transportation policies can have implications for population-wide happiness and well-being. Our case studies indicate that both high and low scoring happiness cities demonstrate a dedicated commitment to improving sustainable transportation infrastructure. Our study suggests that cities that provide incentives for residents to use more sustainable commute modes may offer greater opportunity for happiness than those that do not.

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Predictors of Regional Well-Being: A County Level Analysis

Abstract: Life satisfaction, Subjective well-being, Regional variability,

Cited by 120 publications

References 41 publications

The Happiness of Cities

The Happiness of Cities

Natural language processing in mental health applications using non-clinical texts

Measures of a Sustainable Commute as a Predictor of Happiness

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