0:00:00 | i |
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0:00:05 | and |
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0:00:13 | the with come from longitudinal study is a simple of one and three was come |
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0:00:17 | from high school graduates from the class of nineteen fifty seven |
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0:00:20 | and they've been interview since nineteen fifty seven |
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0:00:23 | but they didn't since nineteen fifty seven |
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0:00:26 | and the simple has grown over time to include a selected sampling for each relevant |
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0:00:32 | graduate i'm and we've also interviewed their stances and have lots of questions about their |
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0:00:36 | children and their parents as well |
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0:00:38 | so in essence that's over time become of families based |
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0:00:41 | sample |
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0:00:47 | this string that the study is that it is a longitudinal panel that covered a |
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0:00:51 | single cohort over nearly fifty years |
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0:00:55 | another important strength is the fact that we have been interfering the siblings of the |
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0:01:00 | graduates for innocence over twenty years so we can look at |
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0:01:05 | innocents |
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0:01:06 | sibling based designs mainly samples |
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0:01:10 | the rest that this study so in the early part or in the early years |
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0:01:13 | at this study we were focused mostly on educational attainment occupational attainment family |
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0:01:19 | as the study of phased |
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0:01:21 | the kinds of things that we've asked them are relevant to their a life course |
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0:01:26 | perspective so now |
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0:01:28 | we're focusing heavily on health |
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0:01:30 | psychological well being retirements i'm retirement economic wellbeing |
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0:01:40 | well there so there's sort of a range of i think different relevant findings one |
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0:01:46 | new area that we've begun to explore it is the interaction between by biological and |
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0:01:52 | social factors |
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0:01:54 | so well we collect a lot of relevant helped in honour sample and we've also |
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0:01:58 | been able to collect |
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0:02:00 | genetic data |
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0:02:01 | so we can look at how for example gene environments rack to affect people's |
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0:02:07 | how to add and especially to affect bins like their psychological well being in |
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0:02:13 | we live |
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0:02:16 | we've been able to look at |
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0:02:18 | how a people's |
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0:02:22 | educational experiences including |
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0:02:26 | their academic performance is affected health the mortality in my life |
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0:02:31 | so there's a lot of work for example looking at the relationship between i q |
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0:02:34 | in mortality we measured our respondents like use when they were in high school or |
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0:02:39 | they were collected by the state of wisconsin |
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0:02:41 | and we were able to demonstrate or keep were able to demonstrate using our data |
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0:02:47 | that it wasn't so much i q that how drove mortality it was a much |
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0:02:53 | more strongly linked to people's academic performance degrades the rank and high school specifically |
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0:03:02 | a couple examples |
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0:03:04 | you know more broadly the degree to which we can look at how experiences the |
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0:03:10 | cost people's life course in their work family life and their child even |
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0:03:15 | how that influences psychological |
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0:03:18 | how and economic well being and like life |
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0:03:21 | a few but a specific examples would include we have a lot of questions on |
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0:03:27 | people's |
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0:03:28 | and of life planning |
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0:03:30 | and this is of highly relevant policy debate at the moment so |
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0:03:34 | how well are people preparing in terms of things like preparing wills |
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0:03:38 | or harm healthcare proxies and so is asked a lot of people very specific questions |
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0:03:43 | about their planning |
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0:03:45 | i'm and then we've been able to look at this is |
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0:03:47 | a different heartbreakers still able to look at what protects |
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0:03:51 | people to plan |
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0:03:53 | four and of life and everything from harm |
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0:03:56 | your marital relationships to your educational attainment seem to be relevant in terms of helping |
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0:04:01 | us understand who's planning and who isn't |
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0:04:08 | well the question i mean are simple is interesting in part because we're on a |
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0:04:12 | sort of a cup so the baby hours |
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0:04:15 | are simple is just a little bit older |
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0:04:17 | i'm but also so we sort of the are simple sort of false and between |
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0:04:21 | the baby boomers and the cohort following so that or the or slightly older co |
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0:04:26 | for so |
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0:04:28 | it's a transition period so for example |
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0:04:32 | people older than our call for would have had |
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0:04:38 | things like defined benefit plan |
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0:04:40 | for the comprise their retirement income a pretty straightforward retirement income stream |
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0:04:45 | in our sample you're saying that transition |
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0:04:49 | that younger courts or experience for their financial eyes are a lot more complicated their |
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0:04:54 | private savings as a lot more relevant to their retirement planning retirement income |
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0:04:59 | since things like that |
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0:05:04 | one of the greatest ranks at this study is the product of the data that |
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0:05:08 | we've collected we've collected information on nearly every aspect of these people's lives so there's |
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0:05:12 | always room |
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0:05:15 | one it area where there are a lot of work but where we would like |
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0:05:18 | to see a lot more is especially related to con cognition so precisely because we |
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0:05:24 | have measures of cognition when these individuals were in their childhood and weeping continuing to |
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0:05:31 | clark cognitive functioning measures as they age |
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0:05:33 | there's a lot of work to be done on helping understand in essence how cognition |
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0:05:38 | changes as people a eight |
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0:05:40 | what determines those changes how things that happen during your schooling experiences during your work |
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0:05:46 | life how whether how factors help shape and genetic factors help change a cognition as |
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0:05:53 | people age |
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