Matching Inefficiencies,Regional Disparities,and Unemployment

Abstract. In this paper we apply a stochastic frontier approach to examine how matching inefficiencies and regional disparities in structural factors contribute to regional and aggregate unemployment. Our results suggest that there would be a substantial decline in aggregate unemployment if (i) all local labour offices operated with full efficiency or (ii) they shared the same structure of job seekers and vacant jobs as the most favourable office. In the former case an increase in hirings would lower the average unemployment rate by 2.4 percentage points. In the latter case the decrease would be 1.4 percentage points. Further, we find that fixed effects are positively correlated with both a more favourable structure and higher efficiency. This suggests that the fixed effects may capture some part of time‐invariant features in the structure and inefficiency. Thus, the role of structural factors and inefficiency in regional unemployment disparities may be higher than estimated.     

Making Sense of Multi‐Actor Dialogues in Family Therapy and Network Meetings

In recent years, a number of family therapists have conceptualized psychotherapy as a dialogical activity. This view presents family therapy researchers with specific challenges, the most important of which is to find ways of dealing with the dialogical qualities of the multi‐actor dialogues that occur, for example, in family therapeutic conversations. In this article, we propose some preliminary ideas concerning qualitative investigations of multi‐actor dialogues. Our aim is to work toward an integration of Bakhtin’s theoretical concepts with good practices in qualitative research (e.g., dialogical tools and concepts of a narrative processes coding system) in order to make sense of family therapy dialogues. A specific method that we have called Dialogical Methods for Investigations of Happening of Change is described. This method allows for a general categorization of the qualities of responsive dialogues in a single session, and also for a detailed focus on particular sequences through a microanalysis of specific topical episodes. The particular focus is on the voices present in the utterances, the positioning of each speaker, and the addressees of the utterances. The method is illustrated via an analysis of a couple therapy session with a depressed woman and her husband.     

Wage Drift: Phillips Curve vs Bargaining Models

ABSTRACT: The purpose of this paper is to shed light on the debate on market- versus bargaining-determined total earnings by examining whether models of wage drift based on wage-bargaining considerations empirically outperform models based on simple ad hoc formulations relating wage drift to excess demand for labour. The task is carried out by investigating the empirical performance of two bargaining models and two Phillips curve models in the context of data on the Finnish metal industry. The results suggest that the former perform better than the latter, thus providing support for the hypothesis that total earnings are bargaining-determined. Furthermore, the results are in line with the view that the superiority of wage-bargaining models is not only theoretical but also empirical.     

Universal codes as a basis for time series testing

We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, based on any lossless data compression method even if the distribution law of the codeword lengths is not known. We apply this approach to the following four problems: goodness-of-fit testing (or identity testing), testing for independence, testing of serial independence and homogeneity testing and suggest nonparametric statistical tests for these problems. It is important to note that practically used so-called archivers can be used for suggested testing.     

On the multivariate spatial median for clustered data

The authors consider the multivariate one-sample location problem with clustered data from a nonparametric viewpoint. They propose the spatial median and its affine equivariant version as companion estimators to the affine invariant sign test of Larocque (2003). They extend the asymptotics of the proposed estimators to cluster dependent data and explore the limiting as well as finite-sample efficiencies for multivariate Student distributions. They demonstrate that the efficiency of the spatial median suffers less from intracluster correlation than the mean vector. They use data on the well-being of pupils in Finnish schools to illustrate their work.