Showing posts with label age. Show all posts
Showing posts with label age. Show all posts

Friday, January 31, 2014

Skilled Immigration and the Employment Structures of US Firms

From the Executive Summary:
The immigration of skilled workers is of deep importance to the United States, particularly in occupations closely linked to innovation and technology commercialization. Appropriate policies and admissions levels for skilled workers remain bitterly debated in the popular press. The authors analyze how the hiring of skilled immigrants affects the employment structures of US firms. This focus on the firm is both rare and important, since economists typically study immigration through the conceptual framework of shifts in the supply of workers to a labor market; yet substantial portions of the US immigration framework have been designed to allow American firms to choose the immigrants that they want to hire. Young workers account for a large portion of such skilled immigrants; for example, 90 percent of H-1B workers are under the age of 40. Given this context, the authors look specifically at the role of young skilled immigrants within more than 300 large employers and major patenting firms over the 1995-2008 period.
Source: Harvard Business School Working Papers  [via SSRN]

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Thursday, October 17, 2013

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Abstract:

We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase ‘sick of’ and the word ‘depressed’), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive ‘my’ when mentioning their ‘wife’ or ‘girlfriend’ more often than females use ‘my’ with ‘husband’ or 'boyfriend’). To date, this represents the largest study, by an order of magnitude, of language and personality.

Source: PLoS ONE 8(9): e73791. doi:10.1371/journal.pone.0073791
Link to Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
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