30 research outputs found

    Behaviour in a Two-Stage Two Public Goods Experiment

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    In a two-stage two-public good experiment, we study the effect that subjects’ possibility of contributing to a public good in the first stage of the game has on the voluntary contributions to the second public good. Our results show that subjects do not follow either the Nash strategy or the Pareto efficient strategy and that they perceive the two public goods as substitutes.public goods, experiments, voluntary provision

    Cultural Education and the Voluntary Provision of Cultural Goods: An Experimental Study

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    We study the effect that the possibility of investing in cultural education has on the voluntary contributions to a cultural good. This is done in a two-stage public-good experiment. We also provide treatments with different context in order to control for a possible framing effect. Our results show the absence of an effect of cultural education on the contributions to the cultural good and a slight increase in the allocations of subjectsÂendowments to the cultural good when the cultural context is implemented in the laboratory.cultural education, cultural good, framing, experiments, voluntary provision

    Cultural Education and the Voluntary Provision of Cultural Goods: An Experimental Study

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    We study the effect of the possibility of investing in cultural education on the voluntary contributions to the cultural good. Moreover, we provide treatments with different context in order to control for a possible framing effect. Our results show the absence of effect of cultural education on the contributions to the cultural good and a slight increase in the allocations of subjects’ endowments to the cultural good when the cultural context is implemented in the laboratory.cultural education, cultural good, framing, experiments, voluntary provision

    Determinants of Heritage Authorities’ Performance: An exploratory study with DEA bootstrapping approach

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    Government regulation plays a significant role in the field of heritage conservation. Namely, regulation is aimed at controlling the stock of heritage, restricting or modifying the activities of public as well as private actors. Surprisingly, the literature has neither extensively investigated the performance of the heritage authorities involved in the implementation of conservation policies nor its determinants. In this paper we address this issue, from a theoretical as well as an empirical perspective, using Sicily as a case study. More precisely, we analyze the determinants of the differences in the efficiency levels of conservation activity of the nine Sicilian heritage authorities over the period 1993-2005. Economic and managerial variables are used to distinguish non-discretionary from discretionary causes. The results show that the efficiency scores seem to be only affected by economic factors whereas the managerial variables do not affect the performance of heritage authorities.Heritage regulation, cultural policy, efficiency analysis.

    Determinants of Heritage Authorities’ Performance: An exploratory study with DEA bootstrapping approach

    Get PDF
    Government regulation plays a significant role in the field of heritage conservation. Namely, regulation is aimed at controlling the stock of heritage, restricting or modifying the activities of public as well as private actors. Surprisingly, the literature has neither extensively investigated the performance of the heritage authorities involved in the implementation of conservation policies nor its determinants. In this paper we address this issue, from a theoretical as well as an empirical perspective, using Sicily as a case study. More precisely, we analyze the determinants of the differences in the efficiency levels of conservation activity of the nine Sicilian heritage authorities over the period 1993-2005. Economic and managerial variables are used to distinguish non-discretionary from discretionary causes. The results show that the efficiency scores seem to be only affected by economic factors whereas the managerial variables do not affect the performance of heritage authorities

    Optimal mixed payment system and medical liability. A laboratory study

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    In a controlled laboratory environment, we test the role of medical malpractice liability on physicians’ service provision under fee-for-service, capitation, and mixed payment. We find that the introduction of medical liability causes a significant deviation from patient-optimal treatment that it is not mitigated by the use of a standard mixed payment system. Specifically, we find that the presence of medical liability pressure involves a proper optimal calibration of mixed payment system. Our findings have relevant policy implications for the correct calibration and implementation of the mixed payment system

    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

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    Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

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    Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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    This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

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    Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment
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