« Running head: THE RELATIONSHIP BETWEEN DEPRESSION AND AGE No Correlation Found Between Depression and Age in College Students Emily Michaud University of ...» Document abstract
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Language : english
psychology
case study
date published
27/11/2007
review : not yet assessed
level : Advanced
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SummaryDepression may be influenced by age differences. Other studies showed no relationship between age and depression so one should expect no relationship between the two in further studies. Data was obtained from 41 college students in order to determine relationships between the profile of Mood States (POMS), the Beck Depression Inventory (BDI), and the Life Change Inventory (LCI). Within the administration of the POMS, only the Profile of Mood States for Depression (POMSD) was used for this study. The POMSD did not show a correlation with age (p>.05), and the BDI showed no relationship to age (p>.05). Although no correlations were found, considering other reasons for the results are important. Because of problems in construct validity, the results are nonsignificant.
Table of Contents
- Abstract
- Method
- Materials
- Procedure
« namely World War I, the Great Depression, and World middle income countries whilst such a relationship is absent of a hump-shaped relation between the level of ...» Document abstract
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260 word format
Language : english
economics
theses
date published
27/07/2006
review : not yet assessed
level : Expert
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SummaryFor several reasons, knowledge cannot be treated like any other commodity. One of these reasons is the nonrivalrous nature of knowledge, which means that one person’s use of certain knowledge does not diminish another person’s use of the same knowledge (at the same time). This important property of knowledge is used in several early models of R&D-based growth1,
e.g. Romer (1990), Grossman and Helpman (1991), and Aghion and Howitt (1992). In these models this property leads to a scale effect, which boils down to larger economies growing faster than smaller economies (with the measure of size suitably defined (cf. Backus, Kehoe and Kehoe 1992)).
In an influential paper, Jones (1995a) pointed out that growth with scale effects, as predicted
by the early models of R&D-based growth, is inconsistent with empirical facts. Over the last
40 years the OECD countries have experienced a tremendous rise in the number of people involved in R&D activities whereas the growth rates of per-capita income have shown no corresponding increase. This is a puzzling observation and has led to new models of R&D- based growth that did not incorporate scale effects e.g. Jones (1995b), Smulders and van de Klundert (1995), Young (1998), Li (2000), and Peretto and Smulders (2002).
Generally, however, these models suffer from the ‘Solow critique’; Solow (1994) criticizes
(some) growth theorists because they “… often just insert favorable assumptions in an unearned way; and then when they put in their thumb and pull out the vary plum they have inserted, there is a tendency to think that something has been proved.” (p. 53). In the models
of growth without scale effects the prediction of a scale effects in growth of the early models
of R&D-based growth is removed by limiting the extent of the spillovers associated with knowledge’s nonrivalrousness, but often the much-needed (micro-)economic foundation for
the crucial assumption in these models regarding the extent of knowledge spillovers - and the
mechanism limiting their extent - is lacking. Assuming that knowledge is rivalrous (not nonrivalrous) to limit spillovers and dispose of the scale effects prediction of the early models
of R&D-based growth simply does not shed much light on the issue of growth without scale effects however.
provide background information regarding, amongst others, work discussed in the main text, data used in figures, etc.
e.g. Romer (1990), Grossman and Helpman (1991), and Aghion and Howitt (1992). In these models this property leads to a scale effect, which boils down to larger economies growing faster than smaller economies (with the measure of size suitably defined (cf. Backus, Kehoe and Kehoe 1992)).
In an influential paper, Jones (1995a) pointed out that growth with scale effects, as predicted
by the early models of R&D-based growth, is inconsistent with empirical facts. Over the last
40 years the OECD countries have experienced a tremendous rise in the number of people involved in R&D activities whereas the growth rates of per-capita income have shown no corresponding increase. This is a puzzling observation and has led to new models of R&D- based growth that did not incorporate scale effects e.g. Jones (1995b), Smulders and van de Klundert (1995), Young (1998), Li (2000), and Peretto and Smulders (2002).
Generally, however, these models suffer from the ‘Solow critique’; Solow (1994) criticizes
(some) growth theorists because they “… often just insert favorable assumptions in an unearned way; and then when they put in their thumb and pull out the vary plum they have inserted, there is a tendency to think that something has been proved.” (p. 53). In the models
of growth without scale effects the prediction of a scale effects in growth of the early models
of R&D-based growth is removed by limiting the extent of the spillovers associated with knowledge’s nonrivalrousness, but often the much-needed (micro-)economic foundation for
the crucial assumption in these models regarding the extent of knowledge spillovers - and the
mechanism limiting their extent - is lacking. Assuming that knowledge is rivalrous (not nonrivalrous) to limit spillovers and dispose of the scale effects prediction of the early models
of R&D-based growth simply does not shed much light on the issue of growth without scale effects however.
provide background information regarding, amongst others, work discussed in the main text, data used in figures, etc.
Table of Contents
- Grouth and scale effects
- Knowledge, R&D and spilovers, at the firm
- Grouth without scale effects and structural
- Measurement issues in the study of R&D-based
- The product life cycle, demand
1
knowledge network
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