U.S. information and communications industries revenue, 1998-2007

The U.S. Census Bureau’s Service Annual Survey is a great source of data on the information and communications industries.  I’ve put together a dataset based on this source to make the data for 1998 to 2007 easier to use.

The Service Annual Surveys cover various categories of revenue, expenditure, and inventories.  The data are collected mainly from surveys of firms with employees (employer firms).  The firms are assigned to industry categories based on the North American Industry Classification System (NAICS). NAICS 51, Information Sector Services, includes wireline and wireless telecommunications, radio, broadcast television, cable television, and other communications services.  NAICS 54, Professional, Scientific, and Technical Services, includes display advertising, direct mail advertising, and advertising services such as advertising agencies.

I’ll call the dataset I put together the Information and Communication Industries Revenue (ICIR) Dataset.  It contains revenue data for the information sector (which includes communications industries) and advertising and related services from the Service Annual Survey for 2000, 2004, and 2007.  These three report years include annual data spanning 1998 to 2007, and, in most cases, contain the most recent revisions of previous years’ data.  Because many reporting categories have changed across this decade, all the data cannot be easily organized into one consistent, detailed scheme spanning the decade.  Having the data in an analytically convenient form facilitates extracting, re-organizing, manipulating, matching, and comparing data of interest.

You should refer to the official Service Annual Survey reports to understand and validate the ICIR Dataset.  The variable named “lid” organizes the ICIR Dataset in the line order of the Service Annual Survey reports.  The ICIR Dataset includes some estimates that are not Census Bureau estimates.  See the summary tab for a description of these additional estimates. To understand the meaning of blank values in the ICIR Dataset, refer to the original Service Annual Survey reports.  The dataset has a complex category scheme that does not include complete partitions at some levels.  Once again, refer to the original reports to understand the items.

Here’s the Information and Communication Industries Revenue (ICIR) Dataset as a browser-friendly Google spreadsheet.  You can also download the ICIR Dataset as an Excel workbook.

females lead in social communication

A current rough scientific consensus is that the brain’s neocortex evolved for advantage in dealing with social complexity. Invocations of a “Dunbar number“, an upper limit on group size, reflect a crude popularization of this scientific understanding. Among vertebrae, primates have unusually large brain size relative to body size and are unusually sociable.  Moreover, across primates, as well as across other mammalian groups, larger neocortex size relative to total brain size is associated with greater social complexity. The social brain hypothesis explains these facts of comparative biology.[1]

Recent work indicates that female primate sociality was central to neocortex evolution. Most primate groups include more females than males.  Ecological resources and predator risks tend to drive female grouping, while seeking sexual access to females tends to drive male mobility.  Female sociality is more affiliative and less competitive than male sociality. Female and male species-typical behaviors characterize different biological routes to evolutionary success.[2]

Across primates, female group size is positively correlated with neocortex size relative to total brain size.  Male group size isn’t.  Female social communication thus seems to have been central to neocortex evolution.  Put differently, the social brain hypothesis primarily describes females’ role in developing primate species’ neocortex.[3]

Across primates, male group size is correlated with subcortical brain structures more closely associated with motor centers and emotional response, including aggression.  Female group size isn’t.  Male group size thus seems to indicate the extent of sexual competition among men.  It correlates with brain structures that would provide advantage in such competition.

The evolution of primate brains indicates the importance of sex to social communication.  Vocal communication evolved with socialty.  Consistent with the sex-informed social brain hypothesis, significant human sex differences exist in the use of telephones and other communication tools, in reading and writing, and in online gaming. Good analysis of human communication should not ignore sex differences.

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Read more:

Notes:

[1] Silk (2007), Shultz and Dunbar (2007), and Dunbar and Shultz (2007) discuss the social brain hypothesis, evaluate it across various taxa, and relate it to ecology and life-history. Dunbar and Shultz (2007) notes, “the social brain hypothesis is not about the relationship between brain/neocortex size and group size per se; rather, it is about social complexity….”  Other measures of social complexity that correlate with relative neocortex size include size of grooming cliques and frequency of tactical deception. For analysis across the largest possible set of primate species, group size is the best currently available indicator for social complexity.

[2] See Lindenfors, Fröberg, and Nunn (2003).

[3] For this and the subsequent paragraph, see Lindenfors (2005) and Lindenfors, Nunn, and Barton (2007). For commentary on this work, see Dunbar (2007).

References:

Dunbar, Robin IM (2007), “Male and female brain evolution is subject to contrasting selection pressures in primates,” BMC Biology, 5:21, doi:10.1186/1741-7007-5-21

Dunbar, R.I.M and Susanne Shultz (2007), “Understanding primate brain evolution,” Philosophical Transactions of the Royal Society B, 362, 649-658, doi: a0.1098/rstb.2006.2001

Lindenfors, Patrik (2005), “Neocortex evolution in primates: the ‘social brain’ is for females,” Biology Letters 1, 407-410, doi:10.1098/rsbl.2005.0362

Lindenfors, Patrik, Laila Fröberg, and Charles L. Nunn (2003), “Females drive primate social evolution,” Proceedings of the Royal Society of London B (Suppl.) 271, S101-S103, doi: 10.1098/rsbl.2003.0114

Lindenfors, Patrik, Charles L Nunn, and Robert A Barton (2007), “Primate brain architecture and selection in relation to sex,” BMC Biology 5:20, doi:10.1186/1741-7007-5-20

Shultz, Susanne and R.I.M Dunbar (2007), “The evolution of the social brain: anthropoid primates contrast with other vertebrates,” Proceedings of the Royal Society of London B 274(1624): 2429–2436, doi: 10.1098/rspb.2007.0693

Silk, Joan B. (2007), “Social Components of Fitness in Primate Groups,” Science 317(5843):1347-51, doi:10.1126/science.1140734