This paper studies the role of unobserved factors to measure the impact of the economic downturn on informal care availability to the elderly in Europe. We use the Survey of Health, Ageing and Retirement in Europe (SHARE), which allows controlling for socio-demographic variables. Our results show that the impact of the Great Recession on care receipt depends not only on observed, but also on unobserved characteristics. For 21% of the sample, the effect is three to four times larger than the average effect for the entire sample. For 57% of the sample, there is no effect of the economic crisis, and this is related to unobservable factors. In our estimation process, we are able to characterize how this unobserved heterogeneity correlates with the observable variables. Moreover, we show that if the unobserved heterogeneity in the effect of the crisis is ignored, then we are not able to capture that there is no effect for more than half of the individuals, even if we allow for unobserved heterogeneity in the intercept of the model and for the heterogeneous effect of the crisis based on observables.
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http://dx.doi.org/10.1007/s10754-022-09325-w | DOI Listing |
J Appl Stat
May 2024
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil.
Survival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constant over time. However, in several randomized clinical trials with long-term survival data comparing two new treatments, it is frequently observed that Kaplan-Meier plots exhibit crossing survival curves.
View Article and Find Full Text PDFInterdiscip Sci
January 2025
Computer and Control Engineering College, Qiqihar University, Qiqihar, 161006, China.
The process of discovering new drugs related to microbes through traditional biological methods is lengthy and costly. In response to these issues, a new computational model (NRGCNMDA) is proposed to predict microbe-drug associations. First, Node2vec is used to extract potential associations between microorganisms and drugs, and a heterogeneous network of microbes and drugs is constructed.
View Article and Find Full Text PDFJ Affect Disord
December 2024
UCL Social Research Institute, University College London, London, UK. Electronic address:
Background: Research suggests that individuals' local social networks, norms of reciprocity and sense of belonging (their local social capital, henceforth LSC), can cushion the impact of adverse events on their mental health. However, to date, little research has explored the pathways through which LSC operates to buffer stressors, especially during major crises, e.g.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
School of Mathematical Science, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
CITE-seq provides a powerful method for simultaneously measuring RNA and protein expression at the single-cell level. The integrated analysis of RNA and protein expression in identical cells is crucial for revealing cellular heterogeneity. However, the high experimental costs associated with CITE-seq limit its widespread application.
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Janssen Research & Development LLC, Global Epidemiology Organization, Raritan, NJ, USA.
Background: Autoimmune disorders have primary manifestations such as joint pain and bowel inflammation but can also have secondary manifestations such as non-infectious uveitis (NIU). A regulatory health authority raised concerns after receiving spontaneous reports for NIU following exposure to Remicade, a biologic therapy with multiple indications for which alternative therapies are available. In assessment of this clinical question, we applied validity diagnostics to support observational data causal inferences.
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