36 resultados para public sector systems
Resumo:
Water scarcity is a long-standing problem in Catalonia, as there are significant differences in the spatial and temporal distribution of water through the territory. There has consequently been a debate for many years about whether the solution to water scarcity must be considered in terms of efficiency or equity, the role that the public sector must play and the role that market-based instruments should play in water management. The aim of this paper is to use a Computable General Equilibrium (CGE) model to analyze the advantages and disadvantages associated with different policy instruments, from both a supply and a demand viewpoint, which can be applied to water management in Catalonia. We also introduce an ecological sector in our CGE model, allowing us to analyze the environmental impact of the alternative policies simulated. The calibration of the exogenous variables of the CGE model is performed by using a Social Accounting Matrix (SAM) for the Catalan economy with 2001 data. The results suggest that taking into account the principle of sustainability of the resource, the policy debate between supply and demand in water policies is obsolete, and a new combination of policies is required to respect the different values associated with water. Keywords: Water Policies; Computable General Equilibrium Model; Economic Effects; Environmental Effects.
Resumo:
En este trabajo se estudian los determinantes macroeconómicos de la informalidad laboral en Colombia. Teniendo en cuenta varias definiciones de informalidad, se encuentra que este fenómeno tiene una relación inversa con el nivel de educación de la población ocupada y el grado de desarrollo industrial de las ciudades. También se observa que un sector público muy grande genera un efecto positivo sobre la informalidad, lo cual indica que existen posibles ineficiencias estatales o cargas institucionales que afectan la decisión de formalizarse. Así mismo se evidencia que existe un importante efecto local en la informalidad asociado con la estructura productiva e integración comercial, que dependen de la ubicación geográfica de las ciudades.
Resumo:
XifraXat és un sistema que permet a dos usuaris gaudir d'una conversa del tot privada. Assegura la privacitat als usuaris ja que utilitza un sistema de xifra Diffie-Hellman, que com tots els sistemas de xifra pública, el xifratge el fa l'usuari a partir de les seves claus.
Resumo:
Drawing on data from two successive cohorts of PhD graduates, this paper analyses differences in overall job satisfaction and specific job domain satisfaction among PhDs employed in different sectors four years after completing their doctorate degrees. Covariate-adjusted job satisfaction differentials suggest that, compared to faculty members, PhD holders employed outside traditional academic and research jobs are more satisfied with the pecuniary facets of their work (principally, because of higher earnings), but significantly less satisfied with the content of their job and with how well the job matches their skills (and, in the case of public sector workers, with their prospects of promotion). The evidence regarding the overall job satisfaction of the PhD holders indicates that working in the public or private sectors is associated with less work well-being, which cannot be fully compensated by the better pecuniary facets of the job. It also appears that being employed in academia or in research centres provides almost the same perceived degree of satisfaction with the job and with its four specific domains. We also take into account the endogenous sorting of PhD holders into different occupations based on latent personal traits that might be related to job satisfaction. The selectivity-corrected job satisfaction differentials reveal the importance of self-selection based on unobservable traits, and confirm the existence of a certain penalisation for working in occupations other than academia or research, which is especially marked in the case of satisfaction with job content and job-skills match. The paper presents additional interesting evidence about the determinants of occupational choice among PhD holders, highlighting the relevance of certain academic attributes (especially PhD funding and pre-and-post-doc research mobility) in affecting the likelihood of being employed in academia, in a research centre or in other public or private sector job four years after completing their doctorate programme.
Resumo:
Within pre-enlargement Europe, Italy records one of the widest employment rate gaps between highly and poorly educated women, as well one of the largest differences in the share, among working women, of public sector employment. Building on these stylized facts and using the Longitudinal Survey of Italian Households (ILFI), we investigate the working trajectories of three cohorts of Italian women born between 1935 and 1964 and observed from their first job until they are in their forties. We use mainly, but not exclusively, event history analysis in order to identify the main factors that influence entry into and exit from paid work over the life course. Our results suggest that in the Italian context, where employment protection policies have also been used as surrogate measures to favour reconciliation between family and work, and where traditional gender norms still persist, education is so important for women's employment decisions because it represents an investment in 'reconciliation' and 'work legitimacy' over and above investment in human capital.
Resumo:
The intensity of parental investments in child care time is expected to vary across families with different norms and time-constraints. Additionally, it should also differ across countries, since the abilities of parents to harmonize family and work vary by national context. In our opinion, however, this question remains inconclusive for two main reasons: 1) only some countries have been studied from a comparative approach; 2) previous studies have not paid enough attention to the analysis of how the conditional effects of education and employment affect parental investments.In this paper we used nationally representative time-use data from Denmark, Flanders, Spain and the United Kingdom (N=4,031) to explore how employment and education predict variations in child care time. IN Britain and Spain employment has a strong negative effect on fathers’ child care, but a weaker one in Flanders and particularly in Denmark. In contrast, maternal employment has a strong negative impact in all four countries. Education increases child care time significantly only among Spanish mothers and fathers, as well as British mothers. Nonetheless, we find that college-educated mothers under similar time-constraints increase substantially their expected child care time in Britain, Flanders and Spain; for fathers we find a more mixed picture. Routine child care activities are more sensitive to both maternal and paternal employment than interactive child care activities. Finally, we observe that working a public sector job generally increases a total time allocated to parental care, controlling for several demographic and socioeconomic variables.
Resumo:
The objective of this study consists in quantifying in money terms the potential reduction in usage of public health care outlets associated to the tenure of double (public plus private) insurance. In order to address the problem, a probabilistic model for visits to physicians is specified and estimated using data from the Catalonian Health Survey. Also, a model for the marginal cost of a visit to a physician is estimated using data from a representative sample of fee-for-service payments from a major insurer. Combining the estimates from the two models it is possible to quantify in money terms the cost/savings of alternative policies which bear an impact on the adoption of double insurance by the population. The results suggest that the private sector absorbs an important volume of demand which would be re-directed to the public sector if consumers cease to hold double insurance.
Resumo:
The objective of this study consists in quantifying in money terms thepotential reduction in usage of public health care outlets associatedto the tenure of double (public plus private) insurance. In order to address the problem, a probabilistic model for visits to physicians is specified and estimated using data from the Catalonian Health Survey. Also, a model for the marginal cost of a visit to a physician is estimated using data from a representative sample of fee-for-service payments from a major insurer. Combining the estimates from the two models it is possible to quantify in money terms the cost/savings of alternative policies which bear an impact on the adoption of double insurance by the population. The results suggest that the private sector absorbs an important volumeof demand which would be re-directed to the public sector if consumerscease to hold double insurance.
Resumo:
This chapter analyzes titling institutions and the regulation of supporting conveyancingservices. After examining the tradeoff of enforcement benefits and consent costs posed byproperty rights, it explains how different public titling systems (privacy, recording andregistration) try to solve this tradeoff, and what the consequences are for the nature andregulation of private conveyancing services. The chapter ends with a discussion of someempirical issues and data which are useful for comparing, designing and managing titlingand conveyancing systems.
Resumo:
This paper analyses whether or not tax subsidies to private medicalinsurance are self-financing by means of a structural approach. Weconstruct a simulation routine based on a microeconometric discretechoice model that allows us to evaluate the impact of premium changeson the utilisation of outpatient and inpatient health care services. Wesimulate the 1999 Spanish tax reform that abolished the tax deductionfor expenditures on private health insurance using a representativesample of the Catalan population. Prior to this reform, foregone taxrevenue arising from deductions after the purchase of private insuranceamounted to 69.2 M. per year. In contrast, the elimination of thesubsidies to private policies is estimated to generate an extra costfor the public sector of about 8.9 M. per year.
Resumo:
This paper examines properties of optimal poverty assistance programs under different informational environments using an income maintenanceframework. To that end, we make both the income generating ability andthe disutility of labor of individuals unobservable, and compare theresulting benefit schedules with those of programs found in the UnitedStates since Welfare Reform (1996). We find that optimal programs closelyresemble a Negative Income Tax with a Benefit Reduction rate that dependson the distribution of population characteristics. A policy of workfare(unpaid public sector work) is inefficient when disutility of labor isunobservable, but minimum work requirements (for paid work) may be usedin that same environment. The distortions to work incentives and thepresence of minimum work requirements depend on the observability andrelative importance of the population's characteristics.
Resumo:
This paper offers a general view of changes in health care management in theSpanish Health System. We focus on the organisational, financing andaccountability aspects of health care provision. We do this by encompassingmanagerial changes and social change and well-grounded in theory health economicsliterature. In this way we try to link applied economics and management issues,as we did in a former paper, ten years ago on the same basis(López-Casasnovas, 2002). We emphasise mistakes and milestones in the wayforward to improve health systems by better understanding the public natureof health policies. Key aspects of this are to achieve a better allocation ofresponsibilities to providers on patients health, to incentive the organisationof medical self-managed health care institutions and to build global budgets onrisk-adjusting capitation and better integrated health care providers on acommunity basis.
Resumo:
La Direcció General d’Indústria té com a principal finalitat el control de les instal•lacions i de diferents activitats de l’àmbit industrial; exerceix aquesta funció mitjançant la tramitació de documentacions tècniques i la inspecció. Com tota Administració Pública, es troba en un entorn molt dinàmic, on només les empreses més competitives poden subsistir i els ciutadans tenen noves necessitats molt diferents de les de fa un temps. Ambdós, empreses i ciutadans, exigeixen serveis de qualitat a un sector públic que no té altra alternativa que caminar en la mateixa direcció. L’objectiu d’aquest treball és planificar una sèrie d’accions estratègiques que permetran la millora dels serveis oferts a fi de complir amb les expectatives de la ciutadania. S’ha realitzat una anàlisi interna i de l’entorn de l’organització, el resultat de la qual ha estat la detecció d’una sèrie de punts de millora. A continuació s’ha definit una pla operatiu de qualitat, emmarcat dins del segon Pla Estratègic de Qualitat del Govern de les Illes Balears, amb tres propostes d’actuació: la separació de funcions, la tramitació ràpida d’expedients i el pla de formació. Les propostes esmentades constitueixen les bases d’una nova unitat orgànica (Oficina de Tramitació Ràpida), el model organitzatiu de la qual queda definit en els diferents apartats del treball. Igualment, s’hi descriu el procés de posada en funcionament dels distints procediments que es vagin adaptant al nou sistema i la planificació dels treballs a dur a terme, que seguiran el cicle de la qualitat de Deming, és a dir, planificar, fer, verificar i actuar.
Resumo:
Background: Hospitals in countries with public health systems have recently adopted organizational changes to improve efficiency and resource allocation, and reducing inappropriate hospitalizations has been established as an important goal. AIMS: Our goal was to describe the functioning of a Quick Diagnosis Unit in a Spanish public university hospital after evaluating 1,000 consecutive patients. We also aimed to ascertain the degree of satisfaction among Quick Diagnosis Unit patients and the costs of the model compared to conventional hospitalization practices. DESIGN: Observational, descriptive study. METHODS: Our sample comprised 1,000 patients evaluated between November 2008 and January 2010 in the Quick Diagnosis Unit of a tertiary university public hospital in Barcelona. Included patients were those who had potentially severe diseases and would normally require hospital admission for diagnosis but whose general condition allowed outpatient treatment. We analyzed several variables, including time to diagnosis, final diagnoses and hospitalizations avoided, and we also investigated the mean cost (as compared to conventional hospitalization) and the patients' satisfaction. RESULTS: In 88% of cases, the reasons for consultation were anemia, anorexia-cachexia syndrome, febrile syndrome, adenopathies, abdominal pain, chronic diarrhea and lung abnormalities. The most frequent diagnoses were cancer (18.8%; mainly colon cancer and lymphoma) and Iron-deficiency anemia (18%). The mean time to diagnosis was 9.2 days (range 1 to 19 days). An estimated 12.5 admissions/day in a one-year period (in the internal medicine department) were avoided. In a subgroup analysis, the mean cost per process (admission-discharge) for a conventional hospitalization was 3,416.13 Euros, while it was 735.65 Euros in the Quick Diagnosis Unit. Patients expressed a high degree of satisfaction with Quick Diagnosis Unit care. CONCLUSIONS: Quick Diagnosis Units represent a useful and cost-saving model for the diagnostic study of patients with potentially severe diseases. Future randomized study designs involving comparisons between controls and intervention groups would help elucidate the usefulness of Quick Diagnosis Units as an alternative to conventional hospitalization.
Resumo:
The final year project came to us as an opportunity to get involved in a topic which has appeared to be attractive during the learning process of majoring in economics: statistics and its application to the analysis of economic data, i.e. econometrics.Moreover, the combination of econometrics and computer science is a very hot topic nowadays, given the Information Technologies boom in the last decades and the consequent exponential increase in the amount of data collected and stored day by day. Data analysts able to deal with Big Data and to find useful results from it are verydemanded in these days and, according to our understanding, the work they do, although sometimes controversial in terms of ethics, is a clear source of value added both for private corporations and the public sector. For these reasons, the essence of this project is the study of a statistical instrument valid for the analysis of large datasets which is directly related to computer science: Partial Correlation Networks.The structure of the project has been determined by our objectives through the development of it. At first, the characteristics of the studied instrument are explained, from the basic ideas up to the features of the model behind it, with the final goal of presenting SPACE model as a tool for estimating interconnections in between elements in large data sets. Afterwards, an illustrated simulation is performed in order to show the power and efficiency of the model presented. And at last, the model is put into practice by analyzing a relatively large data set of real world data, with the objective of assessing whether the proposed statistical instrument is valid and useful when applied to a real multivariate time series. In short, our main goals are to present the model and evaluate if Partial Correlation Network Analysis is an effective, useful instrument and allows finding valuable results from Big Data.As a result, the findings all along this project suggest the Partial Correlation Estimation by Joint Sparse Regression Models approach presented by Peng et al. (2009) to work well under the assumption of sparsity of data. Moreover, partial correlation networks are shown to be a very valid tool to represent cross-sectional interconnections in between elements in large data sets.The scope of this project is however limited, as there are some sections in which deeper analysis would have been appropriate. Considering intertemporal connections in between elements, the choice of the tuning parameter lambda, or a deeper analysis of the results in the real data application are examples of aspects in which this project could be completed.To sum up, the analyzed statistical tool has been proved to be a very useful instrument to find relationships that connect the elements present in a large data set. And after all, partial correlation networks allow the owner of this set to observe and analyze the existing linkages that could have been omitted otherwise.