The Estimation of Fertility Effects on Happiness: Even More Difficult than Usually Acknowledged

There have been many studies of how the number of children in a family affects the parents’ or the children’s lives. One strand of this research focuses on the implications of fertility for the parents’ level of self-reported well-being or happiness. It is argued in this paper that an overall “happiness effect” is not very informative because of the presumably large variation in individuals’ perceived gains from having children. Furthermore, it is explained that such an effect would be difficult to estimate. Most importantly, the highly varying ideas about how a child will affect life quality are important for the decision about whether to have a child. Many of those who have few or no children have chosen this because they think their life will be best this way, and their happiness therefore tells us little about how happy their more fertile counterparts—who to a large extent have different views about the consequences of childbearing—would have been if they had few or no children. This estimation problem that arises when effects of a certain event (here childbearing) are heterogeneous, and the individuals who experience that event tend to be among those for whom the effects are particularly positive or negative, is acknowledged in the treatment effect literature. However, there is little consciousness about it in the fertility–happiness research. In addition, there is a more “standard” selection problem: factors with implications for childbearing desires, or for the chance of fulfilling these, may also affect or be linked to happiness for other reasons. Unfortunately, even the most advanced statistical approaches that have been used in this research area fail to handle all these problems, so reported results should be interpreted very cautiously.     

Finite Sample Comparison of Parametric,Semiparametric, and Wavelet Estimators of Fractional Integration

ABSTRACT

In this paper we compare through Monte Carlo simulations the finite sample properties of estimators of the fractional differencing parameter, d. This involves frequency domain, time domain, and wavelet based approaches, and we consider both parametric and semiparametric estimation methods. The estimators are briefly introduced and compared, and the criteria adopted for measuring finite sample performance are bias and root mean squared error. Most importantly, the simulations reveal that (1) the frequency domain maximum likelihood procedure is superior to the time domain parametric methods, (2) all the estimators are fairly robust to conditionally heteroscedastic errors, (3) the local polynomial Whittle and bias-reduced log-periodogram regression estimators are shown to be more robust to short-run dynamics than other semiparametric (frequency domain and wavelet) estimators and in some cases even outperform the time domain parametric methods, and (4) without sufficient trimming of scales the wavelet-based estimators are heavily biased.     

Abused women with children or children of abused women? A study of conflicting perspectives at women's refuges in Norway

Women's refuges were established in Norway in the late 1970s by and for women. From the very outset, abused women have also brought their children to the refuges. With an increasing political, practical and research focus on the situation of children exposed to violence, the Norwegian refuge movement today is expected to apply both the woman's and the child's perspective in their work. By analysing the discourse of children staying at women's refuges, this paper discusses and sheds light on situations where the two perspectives come into conflict and the implications of these conflicts for the children and for the women's refuge movement as a whole.     

Modern Statistics for Spatial Point Processes*

Abstract. We summarize and discuss the current state of spatial point process theory and directions for future research, making an analogy with generalized linear models and random effect models, and illustrating the theory with various examples of applications. In particular, we consider Poisson, Gibbs and Cox process models, diagnostic tools and model checking, Markov chain Monte Carlo algorithms, computational methods for likelihood-based inference, and quick non-likelihood approaches to inference.     

Transitions from employment among young Norwegian workers

In a large representative sample of young Norwegian workers, we estimate gross transitions to unemployment, education, and other exits in a multinomial logit. In line with received literature, we find that individuals with high education, experience, and income have significantly lower probabilities of job exits. While female education rates have increased to surpass those of males, female labour market outcomes are still more responsive to family related background characteristics as compared with the outcomes for males. Received: 17 October 1996/Accepted: 5 March 1999     

A learning perspective on the offshoring of advanced services

Based on longitudinal case studies of offshoring of advanced IT and engineering services from Danish firms to Indian firms, this paper explores organizational learning that occurs over time in both home and host firms and uses learning as a measure of the firm impact of advanced services offshoring. The findings are consistent with the theoretical view that advanced services offshoring must be understood as an antecedent for strategic business development and organizational change in both home and host firms. The study shows that when offshoring partnerships mature and firms gain experience, learning in both home and host firms evolves over time and differs in many cases from their initial objectives and expectations. In some of the Danish firms engaging in offshoring even ignites a process of strategic transformation. Both Danish and Indian firms use the input from their offshoring partnership to upgrade their organizations and business processes.     

Family Life History and Late Mid‐Life Mortality in Norway

Using data on all Norwegians born 1935–68, we analyze the associations between mortality and a combined indicator of fertility and marital or partnership status and history. The focus is on ages 40–73 and the years 1980–2008 (30 million person‐years of observations and 117,000 deaths). Among men in first marriages, the childless have 36 percent higher mortality than those with two or more children. The corresponding figure for women is 61 percent. The never‐married have higher mortality and are differentiated even more by parenthood status. Thus, childless never‐married men and women have mortality three times as high as those who are married and have two or more children. The apparent advantage associated with having at least two children is smallest among men who divorced before their oldest child's tenth birthday. Having step‐children has no association with mortality for those without natural children but is associated with higher mortality among the parous.