There is a well-established positive correlation between life-satisfaction measures and income in individual level cross-sectional data. This paper attempts to provide some evidence on whether this correlation reflects causality running from money to happiness. I use industry wage differentials as instruments for income. This is based on the idea that at least part of these differentials are due to rents, and part of the pattern of industry affiliations of individuals is random. To probe the validity of these assumptions, I compare estimates for life satisfaction with those for job satisfaction, present fixed effects estimates, and present estimates for married women using their husbands' industry as the instrument. All these specifications paint a fairly uniform picture across three different data sets. IV estimates are similar to the OLS estimates suggesting that most of the association of income and well-being is causal.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.