Journal ArticleDOI
I can’t smile without you: Spousal correlation in life satisfaction
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TLDR
In this paper, the authors used a panel-based GMM methodology to estimate a dynamic model of life satisfaction and found that there is a positive and statistically significant spillover effect that runs from one partner to the other partner in a couple.About:
This article is published in Journal of Economic Psychology.The article was published on 2009-08-01. It has received 98 citations till now. The article focuses on the topics: Life satisfaction & Happiness.read more
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World happiness report
TL;DR: The report, published by the Earth Institute and co-edited by the institute's director, Jeffrey Sachs, reflects a new worldwide demand for more attention to happiness and absence of misery as criteria for government policy.
Journal Article
The Case for Marriage: Why Married People Are Happier, Healthier, and Better off Financially
TL;DR: The case for marriage is discussed in this article, where the authors argue that marriage is a "bargain," a superior investment benefiting both those who participate and society at large.
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Life satisfaction and self-employment: a matching approach
TL;DR: This article found that individuals who move from regular employment into self-employment experience an increase in life satisfaction (up to 2 years later), while individuals moving from unemployment to self-employee are not more satisfied than their counterparts moving from employment to regular employment.
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From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution
Martin Binder,Alex Coad +1 more
TL;DR: In this article, the authors apply quantile regressions to analyze effects of a set of explanatory variables on different quantiles of the happiness distribution and compare these results with a standard regression.
References
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Journal ArticleDOI
Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.
Manuel Arellano,Stephen Bond +1 more
TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
Book
Hierarchical Linear Models: Applications and Data Analysis Methods
TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Report SeriesDOI
Initial conditions and moment restrictions in dynamic panel data models
Richard Blundell,Stephen Bond +1 more
TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI
Another look at the instrumental variable estimation of error-components models
Manuel Arellano,Olympia Bover +1 more
TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.