Spain

European Journal of Political Research -     

Results of the GEP-ISFG collaborative study on two Y-STRs tetraplexes: GEPY I (DYS461, GATA C4, DYS437 and DYS438) and GEPY II (DYS460, GATA A10, GATA H4 and DYS439)

A collaborative exercise was carried out by the Spanish and Portuguese ISFG Working Group (GEP-ISFG) in order to evaluate the performance of two Y-chromosome STR PCR tetraplexes, which include the loci DYS461, GATA C4, DYS437 and DYS438 (GEPY I), and DYS460, GATA A10, GATA H4 and DYS439 (GEPY II). The participating laboratories were asked to type three samples for the eight markers, using a specific amplification protocol. In addition, two control samples, with known haplotypes, were provided. The results obtained by the 13 different participating laboratories were identical, except for two laboratories that failed to type correctly the same two samples for GATA C4. By sequence analyses, two different GATA C4 allele structures were found. One control sample (allele 21) and two questioned samples (allele 22, correctly typed by all the laboratories, and allele 25) presented the following repeat structure: (TCTA)4(TGTA)2(TCTA)2(TGTA)2(TCTA)n, but different from the one found for allele 26 in one sample included in this exercise, as well as in the second control sample (allele 23), namely (TCTA)4(TGTA)2(TCTA)2(TGTA)2(TCTA)2(TGTA)2(TCTA)n. The collaborative exercise results proved that both Y-tetraplexes produce good amplification results, with the advantage of being efficiently typed using different separation and detection methodologies. However, since GATA C4 repeat presents a complex structure, with alleles differing in sequence structure, efficient denaturing conditions should be followed in order to avoid typing errors due to sizing problems.     

Accounting and accountability: recent developments in government financial information systems

In developed countries, governmental accounting is considered as an integral part and a successful aspect of public sector reforms. In developing countries, besides being a tool for government financial management modernisation, accounting is regarded as a weapon against fraud and waste in government. The aim of this article is to compare, taking the IPSAS No.1 as a benchmark, the information content of the financial statements submitted by the central governments of Anglo‐Saxon, Nordic, European Continental and Mercosur zone countries. The results give us a point of reference as to where the central governmental accounting of each country studied lies in the ‘spectrum’ from cash to full accrual accounting and to what extent the IPSASs are able to fit into diverse public administration styles in order to improve the transparency, accountability and reliability of the financial information disclosed. Copyright © 2004 John Wiley & Sons, Ltd.     

Recent problems of the historic centres in Spain

In the last thirty years, historic centres that were considered as impoverished urban structures that ought to be replaced are now viewed as crucial enclaves of urban identity that ought to be protected. The singularity of the old city increases its importance in our global world. The value of the city as a living cultural legacy, with all its embedded symbolism, is thus recognised. We can find some problems within these spaces, as for example, depopulation and dwelling price increase with their consequences： degradation in some parts and revaluation in others, especially in those with progressive increase in the service economy.     

How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It

In principle, experiments offer a straightforward method for social scientists to accurately estimate causal effects. However, scholars often unwittingly distort treatment effect estimates by conditioning on variables that could be affected by their experimental manipulation. Typical examples include controlling for posttreatment variables in statistical models, eliminating observations based on posttreatment criteria, or subsetting the data based on posttreatment variables. Though these modeling choices are intended to address common problems encountered when conducting experiments, they can bias estimates of causal effects. Moreover, problems associated with conditioning on posttreatment variables remain largely unrecognized in the field, which we show frequently publishes experimental studies using these practices in our discipline's most prestigious journals. We demonstrate the severity of experimental posttreatment bias analytically and document the magnitude of the potential distortions it induces using visualizations and reanalyses of real‐world data. We conclude by providing applied researchers with recommendations for best practice.