Why still marry? The role of feelings in the persistence of marriage as an institution1

Despite cohabitation becoming increasingly equivalent to marriage in some of the most ‘advanced’ Western European societies, the vast majority of people still marry. Why so? Existing theories, mostly based on various approaches tied to cognitive decision‐making, do not provide a sufficient explanation of the persistence of marriage. In this article, we argue that feelings attached to marriage, i.e. the affective evaluation of those involved in a partner relationship concerning marriage as opposed to cohabitation, explain the persistent importance of marriage as an institution. We argue that socialization, biological and social‐structural factors affect these affective evaluations. We provide a test of our hypotheses using a longitudinal study of young adults in the Netherlands. The results of our analyses are consistent with a central role of feelings in the decision to marry, as well as with a role for key moderating factors such as gender.     

A multiple buyer – supplier relationship in the context of SMEs’ digital supply chain management*

Abstract

By underlining the relevance of the use of ICTs, knowledge sharing and electronic markets for SMEs, it emerges the need for stimulating a debate on digitisation process of supply chain management (SCM). Electronic infrastructure in the service sector are reducing each kind of cost and improving multiply buyer–supplier relationships, facilitating negotiations and transactions. However, since the coordination costs are still high, the use of ICTs is limited. This phenomenon thus attracts the interests of scholars and practitioners. Although it still needs to further investigate. Especially, the optimal use of ICTs within SMEs’ SCM have not been studied yet. Therefore, by leveraging on four proxies: ICTs specialised human resources, knowledge sharing activities, buyer–supplier relationships, adoption of electronic markets this optimal was analysed via structural equation modelling based on a sample of 1254 SMEs operating in the service sector in Italy.     

Forecasting composite indicators with anticipated information: an application to the industrial production index

Summary. Many economic and social phenomena are measured by composite indicators computed as weighted averages of a set of elementary time series. Often data are collected by means of large sample surveys, and processing takes a long time, whereas the values of some elementary component series may be available a considerable time before the others and may be used for forecasting the composite index. This problem is addressed within the framework of prediction theory for stochastic processes. A method is proposed for exploiting anticipated information to minimize the mean-square forecast error, and for selecting the most useful elementary series. An application to the Italian general industrial production index is illustrated, which demonstrates that knowledge of anticipated values of some, or even just one, component series may reduce the forecast error considerably.     

A latent Markov model for detecting patterns of criminal activity

Summary.  The paper investigates the problem of determining patterns of criminal behaviour from official criminal histories, concentrating on the variety and type of offending convictions. The analysis is carried out on the basis of a multivariate latent Markov model which allows for discrete covariates affecting the initial and the transition probabilities of the latent process. We also show some simplifications which reduce the number of parameters substantially; we include a Rasch-like parameterization of the conditional distribution of the response variables given the latent process and a constraint of partial homogeneity of the latent Markov chain. For the maximum likelihood estimation of the model we outline an EM algorithm based on recursions known in the hidden Markov literature, which make the estimation feasible also when the number of time occasions is large. Through this model, we analyse the conviction histories of a cohort of offenders who were born in England and Wales in 1953. The final model identifies five latent classes and specifies common transition probabilities for males and females between 5-year age periods, but with different initial probabilities.     

Computerized analysis of capital projects by DCF techniques

A program for the financial and economic analysis of capital projects is outlined in this article. The program is structured on three variants, which enable management among other things, to examine the influence of various financing methods on the rate of return on the equity capital (leverage). The program can provide a complete sensitivity analysis, to test how the project profitability is affected by changes in input data.     

Have Your Cake and Eat it Too: The Well-Being of the Italians (1861–2011)

Social Indicators Research - As a part of the international debate on Beyond the GDP, this paper describes the temporal trend of the multidimensional well-being of the Italians from 1861 to 2011....     

Paradigmatic experiments: The Dictator Game

Recent experiments with the Dictator Game (and the ensuing discussions) have been affected by considerable confusion regarding the purpose of this design. A common complaint is that the design gives rise to fragile regularities and therefore is of little use for theory-testing. We take issue with this view, and instead argue that the Dictator Game is potentially a very useful tool for experimental game theory, if properly used. It is particularly useful for investigating social norms, but economists have failed to take advantage of the Dictator Game because they still lack an adequate theory of norms.     

Cross-national differences in determinants of multiple deprivation in Europe

This paper analyses the relationship between deprivation, income and other individual dimensions over time, in eleven European countries, exploiting the longitudinal nature of the European Community Household Panel (ECHP). First, the determinants of deprivation are analysed by using individual fixed effects models for each country separately. Second, a decomposition of the deprivation gaps between countries highlights the main reasons for the differentials across Europe. The results show that changes in income and deprivation do not strictly coincide and highlight the importance of employment status and income sources. In countries where deprivation is higher income is more effective in reducing the deprivation differential. However, a relevant part of the deprivation gap is attributable to a country specific effect revealing the importance of unobserved factors like cultural attitudes and institutions.