Home  About us  Contact
 

Data Approach (data + approach)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting50%
Medical Sciences33%

Kinds of Data Approach

  • panel data approach
    		•

    Selected Abstracts

    INCOME THRESHOLDS AND GROWTH CONVERGENCE: A PANEL DATA APPROACH,

    THE MANCHESTER SCHOOL, Issue 2 2006
    TSUNG-WU HO
    This paper applies a dynamic panel model to explore whether the low-income countries ,catch up' with the rich ones by examining the threshold effects of per capita income on the convergence behavior of growth rates. Empirical evidence from 121 Penn World Table economies and 48 US states indicates that income levels have substantial impacts on the convergence behavior. First, convergence is insignificantly found in the lowest-income regimes, which is interpreted that these poor countries persist at their income levels, which cause possible income barriers-to-growth. That is, the poor countries may not be able to catch up with the rich ones easily, unless an income threshold is overcome. Second, convergence is significantly found beyond the lowest-income regime, implying that the low-income countries catch up with the rich. We conclude that when a certain income threshold is overcome, the poor countries catch up with the rich ones; hence a subsidiary income policy can be helpful. [source]

    Elasticities of market shares and social health insurance choice in germany: a dynamic panel data approach

    HEALTH ECONOMICS, Issue 3 2007
    Marcus Tamm
    Abstract In 1996, free choice of health insurers was introduced to the German social health insurance system. One objective was to increase efficiency through competition. A crucial precondition for effective competition among health insurers is that consumers search for lower-priced health insurers. We test this hypothesis by estimating the price elasticities of insurers' market shares. We use unique panel data and specify a dynamic panel model to explain changes in market shares. Estimation results suggest that short-run price elasticities are smaller than previously found by other studies. In the long-run, however, estimation results suggest substantial price effects. Copyright © 2006 John Wiley & Sons, Ltd. [source]

    15 Phylogeny of the chlorophyta: inferences from 18S and 26S rDNA

    JOURNAL OF PHYCOLOGY, Issue 2003
    M. A. Buchheim
    Recent studies of the Chlorophyceae using 18S and 26S rDNA data in meta-analysis have demonstrated the power of combining these two sets of rDNA data. Furthermore, the 26S rDNA data complement the more conserved 18S gene for many chlorophycean lineages. Consequently, this data approach was pursued in an expanded taxon-sampling scheme for the Chlorophyta, with special reference to the classes Chlorophyceae and Trebouxiophyceae. Results of these new phylogenetic analyses identify Microspora sp. (UTEX LB 472) and Radiofilum transversale (UTEX LB 1252) as sister taxa which, in turn, form a basal clade in the Cylindrocapsa alliance (Treubaria, Trochiscia, Elakatothrix). The relative position of the "Cylindrocapsa" clade within the Chlorophyceae remains uncertain. The enhanced taxon-sampling has not resolved the relative positions of the Oedogoniales, Chaetophorales or Chaetopeltidales. Furthermore, the Sphaeropleaceae are supported as members of the Sphaeropleales in only some analyses, raising concerns about the status of the order. Although based on a limited set of taxa (currently <10), a combined data approach reveals support for a monophyletic Trebouxiophyceae that includes the distinctive organisms, Geminella and Eremosphaera. The goal of a well-resolved phylogeny for the Chlorophyta remains just that, a goal. Achieving that goal obviously will require additional taxon sampling in the Prasinophyceae and Ulvophyceae, as well as, the Trebouxiophyceae. Moreover, it is clear that other genes (e.g., cp-atpB, cp-rbcL, cp-16S, mt-nad5) will be needed to help address problems of resolution based on the rDNA data alone. Supported by NSF DEB 9726588 and DEB 0129030. [source]

    Fiscal Coordination and Financial Dependence of State Governments in Mexico

    PUBLIC BUDGETING AND FINANCE, Issue 3 2010
    JORGE IBARRA-SALAZAR
    This paper presents evidence of the effects on subnational financial dependence of the intergovernmental fiscal agreement implemented in 1980. In contrast with a previous study that uses annual time series national data, we use a panel of annual time series (1975,1995) of 31 Mexican states. We propose and estimate three different empirical models using the fixed effects panel data approach. In concordance with previous literature, we find strong statistical evidence that the implementation of the agreement increased financial dependence. The main contribution of this paper is to distinguish the effect of the 1980 fiscal arrangement on every state's degree of financial dependence. [source]

    Gene profiling and pathway analysis of neuroendocrine transdifferentiated prostate cancer cells

    THE PROSTATE, Issue 1 2009
    Ryutaro Mori
    Abstract BACKGROUND Neuroendocrine (NE) cells are present in both normal prostate and prostate cancer. In addition, NE differentiation can be induced by various factors, such as IL-6, in vitro and in vivo. However, the mechanism of this differentiation and the role of NE cells in prostate cancer are not well understood. In this study, we evaluated the gene expression and analyzed the pathways in prostate cancer cells exposed to various NE differentiation inducing factors in vitro. METHODS Gene expression signatures between control LNCaP cells and each treatment induced NE cell line were compared using Affymetrix GeneChip with network and pathway analysis. RESULTS All treatments were able to transdifferentiate LNCaP cells into NE phenotype as shown by morphology changes and NE marker measurements. Of the 54,675 oligonucleotide-based probe sets in microarray, 44,975 were mapped into the Ingenuity Pathway Analysis database and were filtered according to the t -test P value. At P,<,0.002, the number of genes that were differentially expressed included 302 of the IL-6 treated cells, 201 of genistein, 233 of epinephrine, and 191 of the charcoal stripped serum ones. A pooled data approach also showed 346 differentially expressed genes at the same P value. Gene ontology analysis showed that cancer-related function had the highest significance. CONCLUSIONS Despite some overlap, each NE transdifferentiation inducing treatment was associated with a changed expression of a unique set of genes, and such gene profiling may help to elucidate the molecular mechanisms involved in NE transdifferentiation of prostate cancer cells. Prostate 69: 12,23, 2009. © 2008 Wiley,Liss, Inc. [source]

    Dynamic treatment effect analysis of TV effects on child cognitive development

    JOURNAL OF APPLIED ECONOMETRICS, Issue 3 2010
    Fali Huang
    We investigate whether TV watching at ages 6,7 and 8,9 affects cognitive development measured by math and reading scores at ages 8,9, using a rich childhood longitudinal sample from NLSY79. Dynamic panel data models are estimated to handle the unobserved child-specific factor, endogeneity of TV watching, and dynamic nature of the causal relation. A special emphasis is placed on the last aspect, where TV watching affects cognitive development, which in turn affects future TV watching. When this feedback occurs, it is not straightforward to identify and estimate the TV effect. We develop a two-stage estimation method which can deal with the feedback feature; we also apply the ,standard' econometric panel data approaches. Overall, for math score at ages 8,9, we find that watching TV during ages 6,7 and 8,9 has a negative total effect, mostly due to a large negative effect of TV watching at the younger ages 6,7. For reading score, there is evidence that watching no more than 2 hours of TV per day has a positive effect, whereas the effect is negative outside this range. In both cases, however, the effect magnitudes are economically small. Copyright © 2010 John Wiley & Sons, Ltd. [source]