Fertility trends,excess mortality,and the Great Irish Famine

This paper has developed estimates of the age-specific mortality rates prevailing during the Great Irish Famine and has analyzed fertility trends during the 25 years before the Famine. Our calculations confirm that 1 million Irish people perished as a result of this disaster. This figure does not include the deaths among the 1.3 million emigrants who left Ireland during the Famine period. The Famine produced a significant drop in the fertility rate, and we estimate that more than 300,000 births did not take place as a result of the Famine. The effects were especially severe on the very young and the very old, a result echoed in the findings of demographic analyses of other famines. Our procedure permits a reconstruction of the Irish population by age and sex during the period 1821-1841. In addition, it yields year-by-year estimates of the birth rate over this period. We estimate that the rate fell by about 14 percent, a result robust to our assumptions regarding emigration. Economic historians have debated this issue, and we hope that our evidence, although preliminary, will be of assistance. Our analysis also permits year-by-year reconstruction of Irish population totals for the period 1821-1851. Two years are of particular interest. Virtually all recent writers, with the notable exception of Lee (1981), have suggested that the 1831 census returns overestimated the actual population resident in Ireland at that date. Our reconstruction supports the validity of the 1831 census figure. We obtain a total of 7,847,000, which is in good agreement with the disputed census figure of 7,767,000. But perhaps the most interesting figure is the population total for the end of 1845, the highest ever achieved in Ireland. We estimate that the population on the eve of the Great Famine was 8,525,000. Throughout the paper we have tried to highlight those areas in which the data are unreliable, unavailable, or distorted. We have tried to devise cross-checks for consistency and to test the sensitivity of the results to a range of assumptions. A case in point concerns the age-sex profile and volume of emigration to England, Scotland, and Wales. Additional work at the micro level would be helpful here. More solid evidence on Famine births would also be helpful. The parish registers we have sampled certainly provide a clue to trends, but we have only made a start in that respect. A much more comprehensive survey is needed to convey the national picture.(ABSTRACT TRUNCATED AT 400 WORDS)     

The Interrelations Between Cohabitation,Marriage and First Birth in Germany and Sweden

We study the interrelationships between union-formation forms and fertility in Swedish and West German female cohorts born in 1949–1971. We apply simultaneous hazard models, permitting the presence of correlated unobserved heterogeneity. This method allows us to control for country-specific composition of the population with respect to several socio-economic variables, as well as with respect to unobserved factors jointly affecting childbearing and union formation behavior. Our results confirm that partnership formation and the transition to parenthood are partially interchangeable. Net of those selection effects, we find that the impact of being in a union on first birth is higher in Sweden than in Germany, in particular for cohabitation.     

Assessing the effects of an early retirement program

We investigate induced retirement effects of the Norwegian early retirement program AFP and emphasize effects caused by relocations of some individuals from disability pension and unemployment to AFP. Theoretical considerations predict that AFP unambiguously induces more early retirement. Analyzing Norwegian register data 1994–96 with parametric and non-parametric methods, we demonstrate that i) economic incentives influence the retirement decision, ii) there is a significant net induced retirement effect, iii) by a conservative judgment, at least 50% of the AFP retirees would have stayed in the labor force without the scheme.All correspondence to Espen Bratberg. We are indebted to the referees for detailed remarks, which significantly improved the paper. Financial support from the Norwegian Research Council and the Ministry of Health and Social Affairs is greatly appreciated. We are grateful for valuable comments from Erik Hernæs and Astrid Grasdal, seminar participants at the Norwegian School of Management in Oslo, the Institute for International Economic Studies in Stockholm, and the University of Linz, the 2000 Conference of the European Society for Population Economics in Bonn, and the German-Norwegian Seminar on Social Insurance in Berlin, 2000. Bratberg would also like to thank the Humboldt University for its hospitality during a stay in the winter of 2003. Responsible editor: Christoph M. Schmidt.     

Clustering to reduce regional heterogeneity: A spanish case-study

Statistical methods of dimension reduction and classification are used to obtain homogeneous local-area clustering with regard to the most relevant demographic parameters. The dimension reduction is conducted in two stages using Principal Component Analysis and a modified k-mean procedure is proposed to determine the final clusters. This clustering will be useful in future demographic studies at a local level, in particular to obtain forecasts of demographic rates and population projections. The region of Castile and León in Spain is used to illustrate the method. A Poisson model is used to explore the advantages of the new clustering over the more conventional classification based on provinces.     

Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?

We identify the effects of monetary policy on credit risk‐taking with an exhaustive credit register of loan applications and contracts. We separate the changes in the composition of the supply of credit from the concurrent changes in the volume of supply and quality, and the volume of demand. We employ a two‐stage model that analyzes the granting of loan applications in the first stage and loan outcomes for the applications granted in the second stage, and that controls for both observed and unobserved, time‐varying, firm and bank heterogeneity through time*firm and time*bank fixed effects. We find that a lower overnight interest rate induces lowly capitalized banks to grant more loan applications to ex ante risky firms and to commit larger loan volumes with fewer collateral requirements to these firms, yet with a higher ex post likelihood of default. A lower long‐term interest rate and other relevant macroeconomic variables have no such effects.     

The Impact of Overeducation on Wages of Recent Economic Sciences Graduates

Social Indicators Research - United Nations Development Program presented the Human Development Index for ranking the countries with regard to three dimensions, namely being knowledgeable, a long...     

Social Workers’ Causal Attributions for Poverty: Does the Level of Spatial Concentration of Disadvantages Matter?

Social workers may play an important role in the implementation of welfare policies targeted at the poor. Their norms, beliefs, and attitudes form local anti-poverty programmes and affect discretionary practices with their clients. Despite this, we know little about how social workers’ exposure to poverty shapes their attitudes towards poverty and their causal attributions for poverty. This study investigates social workers’ poverty explanations and the extent to which they depend on the level of local poverty. Data from a survey conducted among Hungarian social workers were analysed using multilevel linear regression models. To measure local poverty, we used a composite index of poverty, as well as a subjective measure of exposure to poverty. Our analysis revealed that most social workers explained poverty with structural causes, but individual blame was also frequent. Contrary to our hypothesis, the level of local poverty did not significantly increase the adoption of structural explanations but did raise the occurrence of individualistic ones. However, the effect of local poverty was non-linear: social workers tended to blame the poor for their poverty in the poorest municipalities, where multiple disadvantages are concentrated, while moderate poverty did not lead to such opinions. Our results suggest that efforts should be made to improve the poverty indicator framework to better understand the phenomenon of spatial concentration of multiple disadvantages and its consequences for the poor.