810 research outputs found

    WP 27 - Female income, the ego effect and the divorce decision: Evidence from micro data

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    During the 1960’s and 1970’s divorce rates in the United States rose dramatically. It soon became apparent that this phenomenon was not restricted to the geographic boundaries of the United States but affected most developed countries to varying degrees. This surprising social change led to rapid growth in the number of academic investigations seeking to quantify the causes and consequences of divorce. While there are undoubtedly many factors affecting the decision to dissolve a marriage, this research concentrates on three economic arguments that have persisted through the years. All three relate to the female’s ability to generate income in the labour market. The first argues that as the female increases her ability to generate income, she becomes financially more independent thereby making divorce more likely. The second argument contends that, as female earnings become a larger share of family income, marital friction results and the likelihood of divorce increases. Finally, it has also been argued that the family unit places a high value on the ability of the married female to earn income and, therefore, strives harder to avoid divorce as the female’s ability to earn income rises. The difficulty with quantifying these arguments is the very nature of the observable outcomes. It is possible to observe the income of married females. It is also possible to observe the income of divorced females. Unfortunately, it is not possible to simultaneously observe both outcomes for an individual female. This research attempts to resolve these difficulties by using micro data from the Current Population Survey in a sample selection procedure to estimate both income contingent on divorce and income contingent on marriage. This information is then used in a final “structural” procedure to test the validity of the income arguments. The statistical results indicate that the first two arguments clearly outweigh the third.

    Oxygen enhanced atomic chain formation

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    We report experimental evidence for atomic chain formation during stretching of atomic-sized contacts for gold and silver, that is strongly enhanced due to oxygen incorporation. While gold has been known for its tendency to form atomic chains, for silver this is only observed in the presence of oxygen. With oxygen the silver chains are as long as those for gold, but the conductance drops with chain length to about 0.1 conductance quantum. A relation is suggested with previous work on surface reconstructions for silver (110) surfaces after chemisorption of oxygen.Comment: 4 pages, 4 figure

    Vibrationally Induced Two-Level Systems in Single-Molecule Junctions

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    Single-molecule junctions are found to show anomalous spikes in dI/dV spectra. The position in energy of the spikes are related to local vibration mode energies. A model of vibrationally induced two-level systems reproduces the data very well. This mechanism is expected to be quite general for single-molecule junctions. It acts as an intrinsic amplification mechanism for local vibration mode features and may be exploited as a new spectroscopic tool.Comment: 4 pages, 4 figure

    Groei en bloei in West-Friesland

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    De combinatie bloembollenteelt op klei en de bolbloementeelt geeft het complex West-Friesland een geheel eigen plaats in de nationale bloembollensector. In dit rapport wordt een beschrijving gegeven van het bloembollencomplex. Uitgebreid wordt de ontwikkeling van de bollenteelt en de broeierij weergegeven op bedrijfsniveau en regionaal niveau. Daarnaast wordt aandacht besteed aan de handel en de export van bollen en bolbloemen die vanuit West-Friesland plaatsvindt. De sociaaleconomische betekenis van het complex blijkt uit de toegevoegde waarde die deze sector levert en de werkgelegenheid die daarmee gepaard gaat. Het rapport wordt afgesloten met een toekomstverkenning

    Identifying prognostic factors for clinical outcomes and costs in four high-volume surgical treatments using routinely collected hospital data

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    Identifying prognostic factors (PFs) is often costly and labor-intensive. Routinely collected hospital data provide opportunities to identify clinically relevant PFs and construct accurate prognostic models without additional data-collection costs. This multicenter (66 hospitals) study reports on associations various patient-level variables have with outcomes and costs. Outcomes were in-hospital mortality, intensive care unit (ICU) admission, length of stay, 30-day readmission, 30-day reintervention and in-hospital costs. Candidate PFs were age, sex, Elixhauser Comorbidity Score, prior hospitalizations, prior days spent in hospital, and socio-economic status. Included patients dealt with either colorectal carcinoma (CRC, n = 10,254), urinary bladder carcinoma (UBC, n = 17,385), acute percutaneous coronary intervention (aPCI, n = 25,818), or total knee arthroplasty (TKA, n = 39,214). Prior hospitalization significantly increased readmission risk in all treatments (OR between 2.15 and 25.50), whereas prior days spent in hospital decreased this risk (OR between 0.55 and 0.95). In CRC patients, women had lower risk of in-hospital mortality (OR 0.64), ICU admittance (OR 0.68) and 30-day reintervention (OR 0.70). Prior hospitalization was the strongest PF for higher costs across all treatments (31–64% costs increase/hospitalization). Prognostic model performance (c-statistic) ranged 0.67–0.92, with Brier scores below 0.08. R-squared ranged from 0.06–0.19 for LoS and 0.19–0.38 for costs. Identified PFs should be considered as building blocks for treatment-specific prognostic models and information for monitoring patients after surgery. Researchers and clinicians might benefit from gaining a better insight into the drivers behind (costs) prognosis
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