1,721,137 research outputs found
The Impact of Demographic and Individual Heterogeneity on Unemployment Duration: A Regional Study
No full textThis paper investigates the impact of individual heterogeneity and regional influences on unemployment duration utilizing cross-section microeconomic data drawn from a representative random survey of individual job seekers for the English county of Kent. These individual-level data are unique in that they provide information concerning the personal characteristics of job seekers, alongside direct observations of both their reservation wages and job search behaviour. Such data are rare and, to the authors' knowledge, have never before been utilized in a regional context. Thus, the paper contributes to the empirical literature by analysing the extent to which individual heterogeneity and intra-regional variation in labour market opportunities impact upon the observed distribution of unemployment duration(s). In particular, the paper analyses the extent to which the duration of unemployment is determined by individual choice. This is an important issue for the formation and evaluation of policy. These results provide new insights into the long-term efficacy of current microeconomic supply-side initiatives such as ‘The New Deal’ and related welfare to work policies. They also advocate a more active role for macroeconomic demand-led management and provide support for a more integrated strategy for policy implementation at the urban and regional level
The UK Wage Curve: New Evidence from the British Household Panel Survey
Get PDFThis paper investigates the UK wage curve using longitudinal micro data drawn from the first eight waves of the British Household Panel Survey (BHPS). We estimate a fixed-effects model that controls for observed and unobserved individual-specific heterogeneity. Our results suggest that there is evidence of a negative relationship in wage-unemployment space. The estimated unemployment elasticity of pay for UK males is approximately ?0.14 and this elasticity is robust to a number of alternative specifications. There is no evidence of a significant wage curve for women. These findings are consistent with panel studies reported for other countries. They contrast with previous studies for the UK, however, in that they reject the inclusion of higher order polynomial terms for unemployment. The main findings of the paper, therefore, are that the wage-unemployment relationship is robust but not as non-linear as has been previously thought
Training and Establishment Survival
Get PDFTraining decisions are affected by beliefs about the returns to training, surrounding which firms face considerable uncertainty. We model the consequent association between training, profitability and establishment survival. We propose a plausible definition of optimism about training effectiveness, and show that more optimistic firms train more. We then present estimates of the relationship between training and the likelihood of medium-term commercial survival. We find that increased training of non-manual workers in large establishments is associated with a greater chance of survival; however, disaggregation reveals that the association differs across occupational groups. In smaller establishments, increased training for Craft and Technical workers is associated with better chances of survival, while for Professional workers the opposite effect is found
Remittances and return migration
Get PDFThis paper utilizes survey data of return migrants to analyze the determinants of remittances sent while the migrants were abroad. We approach our research question from the perspective of three sending countries in the Maghreb, namely Algeria, Morocco, and Tunisia. We investigate the remittance behavior using the migrants’ conditions before migration as well as during the migration experience. Using a two-part model, we show that the decision to remit and the amount remitted depend on a combination of different migrant characteristics and reasons for migration as well as the form of migration. More importantly, we also consider if the remittance behavior is dependent on the type of return: “decided” or “compelled.” We show that the two groups have different incentives to remit, which can help explain the link between type of migrants and their remittance behavior
Inter-industry Wage Differences and Individual Heterogeneity
No full textTwo well-established findings are apparent in the analyses of individual wage determination: cross-section wage equations can account for less than half of the variance in earnings and there are large and persistent inter-industry wage differentials. We explore these two empirical regularities using longitudinal data from the British Household Panel Survey (BHPS). We show that around 90% of the variation in earnings can be explained by observed and unobserved individual characteristics. However, small – but statistically significant – industry wage premia do remain, and there is also a role for a rich set of job and workplace controls
The Use of Web 2.0 Technologies in Marketing Classes: Key Drivers of Student Acceptance
Get PDFWith the proliferation in Web 2.0 technologies, many marketing educators are experimenting with new teaching and learning tools (e.g. Facebook, Twitter, YouTube and Second Life). The benefits of such technologies are often touted by scholars, and indeed, there is a good deal of evidence to support such a view. However, increasingly, educators are highlighting some of the limitations of technology in the learning environment. To draw parallels with other new product research in marketing, the adoption of new learning technologies is often not so widespread. The literature exhibits inconsistency about the willingness of students to adopt new technology in a learning environment, but no systematic research into the factors that affect technology acceptance yet exists. This research fills a gap in the literature by applying an augmented Technology Acceptance Model (TAM) to understand students' future intentions to adopt Twitter, a Web 2.0 technology shown to offer students a variety of benefits. By using partial least squares, the research shows that the main proximal driver of student adoption of Twitter is a utilitarian attitude. Students need to be convinced about ‘what's in it for me’, rather than persuaded about the technology's hedonic benefits. Other affective variables such as an individual's affinity with computers and risk tolerance were also found to be important drivers of perceived ease of use and perceived usefulness, the TAM's key antecedents
Training and establishment survival
No full textTraining decisions are affected by beliefs about the returns to training, surrounding which firms face considerable uncertainty. We model the consequent association between training, profitability and establishment survival. We propose a plausible definition of optimism about training effectiveness, and show that more optimistic firms train more. We then present estimates of the relationship between training and the likelihood of medium-term commercial survival. We find that increased training of non-manual workers in large establishments is associated with a greater chance of survival; however, disaggregation reveals that the association differs across occupational groups. In smaller establishments, increased training for Craft and Technical workers is associated with better chances of survival, while for Professional workers the opposite effect is found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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