REGIONAL AND SECTORAL EVIDENCE OF THE MACROECONOMIC EFFECTS OF LABOR REALLOCATION: A PANEL DATA ANALYSIS

This article revisits the sectoral shifts hypothesis by examining unemployment fluctuations for 48 U.S. states over the period 1990:M01–2011:M12. We develop a panel approach that incorporates dynamics, parameter heterogeneity, aggregate factors, and cross‐sectional dependence (CSD). Our findings provide support for a positive and significant effect of the employment dispersion index on unemployment. This outcome is robust under alternative specifications and measures of employment dispersion. The empirical evidence corroborates the presence and relevance of CSD and heterogeneity among states. The results show that, once unobserved common factors and cross‐state heterogeneity are taken into account, labor reallocation has a significant effect on unemployment that is half the size of the estimate when cross‐sectional dependence is not taken into account. (JEL E24, E32, J21, R23, C23)     

Introduction: Sociolinguistics and computer-mediated communication

This theme issue of Journal of Sociolinguistics comprises a number of empirical studies focusing on a range of ways in which people use language in computer-mediated communication (CMC). This introduction contextualizes the contributions to this issue by providing an outline of linguistically focused CMC studies. A critique of the research on the 'language of CMC' is given, and aspects of CMC research from a sociolinguistic viewpoint are presented: the move from the 'language of CMC' to socially situated computer-mediated discourse; its grounding in the notion of online community; and the application of sociolinguistic methodologies to its study. It is argued that CMC provides a new empirical arena for various research traditions in sociolinguistics; conversely, sociolinguistics can contribute to the interdisciplinary theorizing of CMC by demonstrating the role of language use and linguistic variability in the construction of interpersonal relationships and social identities on the Internet.     

Process‐Oriented Sampling

Using the concepts of “duration” and “temporal patterns,” this paper discusses how key steps during sampling change, if researchers take temporality seriously: When defining cases, scholars have to select a suitable temporal scale and reflect on possible changes of boundaries and properties of cases. When defining the population or field, researchers need to set an appropriate time frame and define periods within this time frame to be analyzed. When selecting the actual cases for analysis, researchers have to choose an appropriate sampling procedure, decide upon relevant periods of analysis as well as the number of points in time to be analyzed.