[Question] Time-series data for income & happiness?

Pre­vi­ous: Giv­ing more won’t make you happier

This evening, I was listen­ing to this old epi­sode of EconTalk (a), wherein Richard Ep­stein dis­cusses in­come, wealth, and hap­piness:

The­ory of re­vealed prefer­ences. We see peo­ple work­ing hard to get raises. The hap­piness liter­a­ture sug­gests that ev­ery­one is un­der a deep delu­sion about what makes them happy, and the guys run­ning the sur­vey know bet­ter.
Method­olog­i­cal fal­lacy: data seem to sug­gest that when you have higher in­comes you don’t nec­es­sar­ily have a whole lot higher level of hap­piness… Peo­ple make a pact – I’ll be mis­er­able for a few years if you’ll make me rich in the longer run.
So, in the short run they re­port be­ing less happy. They don’t want to be un­happy for­ever, so even­tu­ally they’ll take a lower pay­ing job – and re­port be­ing hap­pier.

This con­sid­er­a­tion – peo­ple with in­tense, high-pay­ing jobs be­ing less happy when sur­veyed but (know­ingly) do­ing this for in­creased fu­ture hap­piness – seems im­por­tant when think­ing about the hap­piness<>in­come re­la­tion­ship. We to­tally over­looked it in the re­cent Fo­rum post.

Does any­one know of lon­gi­tu­di­nal stud­ies that look at hap­piness of peo­ple over time, as they move into and out of high-in­ten­sity jobs?

I’d like to learn more about this.

No answers.