A Sociocybernetics Data Analysis Using Causality in Tourism Networks

The aim of this paper is to propose a mathematical model to determine invariant sets, set covering, orbits and, in particular, attractors in the set of tourism variables. Analysis was carried out based on a pre-designed algorithm and applying our interpretation of chaos theory developed in the context of General Systems Theory. This article sets out the causal relationships associated with tourist flows in order to enable the formulation of appropriate strategies. Our results can be applied to numerous cases. For example, in the analysis of tourist flows, these findings can be used to determine whether the behaviour of certain groups affects that of other groups and to analyse tourist behaviour in terms of the most relevant variables. Unlike statistical analyses that merely provide information on current data, our method uses orbit analysis to forecast, if attractors are found, the behaviour of tourist variables in the immediate future.

Does the Common Agricultural Policy Reduce Farm Labour Migration? Panel data analysis across EU regions. Factor Markets Working Paper No. 28, July 2012

This paper deals with the determinants of labour out-migration from agriculture across 149 EU regions over the 1990–2008 period. The central aim is to shed light on the role played by payments from the common agricultural policy (CAP) on this important adjustment process. Using static and dynamic panel data estimators, we show that standard neoclassical drivers, like relative income and the relative labour share, represent significant determinants of the intersectoral migration of agricultural labour. Overall, CAP payments contributed significantly to job creation in agriculture, although the magnitude of the economic effect was rather moderate. We also find that pillar I subsidies exerted an effect approximately two times greater than that of pillar II payments.

National Center for Statistics and Analysis collected technical studies. Volume I: accident data analysis of vehicle crashworthiness - ten papers.

Mode of access: Internet.

Prototype tidal data analysis for Mississippi Sound and adjacent areas /

This is a photocopy reproduction.

State inspection program evaluation and data analysis: data base E SPSS frequencies tabulations for brake components and explanatory variables. Volume III. Final report.

National Highway Traffic Safety Administration, Office of Vehicle Safety Research, Washington, D.C.

An analysis of mopeds as a potential safety problem in the United States. Volume II: data analysis and usage and accident projections. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Lake data analysis and nutrient budget modeling /

Mode of access: Internet.

Improving pavements with Long-Term Pavement Performance : products for today and tomorrow : winning papers from the 2001-2002 International Contest on Long-Term Pavement Performance Data Analysis /

"HRDI-13/11-05(1M)E"--P. [4] of cover.

Data analysis of tractor-trailer drivers to access drivers' perception of heavy duty truck ride quality. Final report.

National Highway Traffic Safety Administration, Office of Driver and Pedestrian Research, Washington, D.C.

Zero base review of FMCSRs. Volume II: data analysis. Final report.

Federal Highway Administration, Washington, D.C.

Accident data analysis of side-impact, fixed-object collisions. Final report.

Federal Highway Administration, Washington, D.C.

National Center for Statistics and Analysis collected technical studies. Volume II: accident data analysis of occupant injuries and crash characteristics - eight papers.

Mode of access: Internet.

Long-term Pavement Performance Program (LTPP) data analysis support : National Pooled Fund Study TPF-5(013).

"HRDI-13/11-06(500)E"--P. [4] of cover.

1968 national survey of community solid waste practices; preliminary data analysis [by] Anton J. Muhich, Albert J. Klee [and] Paul W. Britton.

Mode of access: Internet.

Data analysis /

"In any comprehensive research project, there are essentially five steps. First, one starts with a literature review with regard to a particular research question. Second, one seeks to develop a theory. Third, the research question is finalized, frequently in the form of a hypothesis to be tested. Fourth, data are collected. Fifth, the subject matter of this paper, the data are analyzed in order to come to a resolution of the research question. There are two general approaches to analyzing research data. If the data were gathered concerning a 'research question,' a description of the data may be sufficient. However, if the data were gathered to accept or reject a formal hypothesis, statistical analysis is usually in order. This paper briefly surveys the principal data analysis methodologies that are available."