Zugl.: Habil.-Schr. Tech. Fak. Freidrich-Alexander-Univ. Erlangen-Nürnberg, 1996. / Titel: engl. - Text: nur dt.

Tübingen, Univ., Diss., 2007.

Master-Arbeit Univ. St. Gallen, 2007.

Questa tesi studia la possibilità di costruire diversi indicatori di benessere socio-economico della famiglia, indicatori che possano tenere conto delle dimensioni del rischio e dell'incertezza. Indicatori che, in qualche modo, catturino la capacità di far fronte ad un eventuale shock negativo. La costruzione di indicatori basati sulla proprietà di beni durevoli è applicata al contesto albanese. / This thesis aims at investigating the different possibilities of measuring indicators of socio-economic status at the household's level. These indicators should be able to take account of the dimensions of uncertainty and risk, thus catching the ability of people of coping with negative economic shocks. The construction of such indicators asset-based is focused on the Albanian context.

Univ., Diss.--Oldenburg, 1998. / Auch als: Berichte // Forschungszentrum Terramare ; 9.

A wealth of multidimensional OLAP models has been suggested in the past, tackling various problems of modeling multidimensional data. However, all of these models focus on navigational and query operators for grouping, selection and aggregation. We argue that planning functionality is, next to reporting and analysis, an important part of OLAP in many businesses and as such should be represented as part of a multidimensional model. Navigational operators are not enough for planning, instead new factual data is created or existing data is changed. To our knowledge we are the first to suggest a multidimensional model with support for planning. Because the main data entities of a typical multidimensional model are used both by planning and reporting, we concentrate on the extension of an existing model, where we add a set of novel operators that support an extensive set of typical planning functions.

La tesi si compone di tre capitoli. Il primo capitolo è una rassegna critica che intende spiegare come mai la riforma del sistema sanitario in Cina non funziona come ci si aspettava. Comparando il caso cinese con le con le riforme avvenute in Messico e Vietnam, vengono individuate alcune ragioni metodologiche sia di policy design che di valutazione d’impatto. Il secondo capitolo propone una fusione tra la letteratura sulla spesa medica e la letteratura inerente alla misurazione multidimensionale della povertà. Viene così analizzato l’impatto della spesa medica non-rimborsabile sul benessere generale. Il nostro studio suggerisce che, nelle aree rurali dei paesi in via di sviluppo, specialmente lì dove il sistema sanitario è agli esordi, le famiglie tendono ad essere messe in condizione di povertà più per colpa di problematiche legate agli aspetti sanitari che per una vera e propria scarsità monetaria. Ne segue che il design e le valutazioni delle politiche di welfare dovrebbero avere un respiro più ampio e non focalizzarsi soltanto sulla povertà in termini di reddito. L’ultimo capitolo è un tentativo di valutare gli impatti di un esperimento sociale ‘block-randomized’ in Cina. E’ stata utilizzata la metodologia Difference-in-Difference per stimare l’average treatment effect con un insieme di variabili relative alle spese mediche non-rimborsabili. I risultati dimostrano come i poveri possano beneficiare di più da questo tipo di interventi. / The thesis consists three chapters. The first one, a critical review, aims at explaining why health care system reform in China does not work as expected. By comparing the case of China with the cases of Mexico and Vietnam, we try to find the explanation from the policy design and evaluation methodology. The second chapter proposes to combine catastrophic health expenditure literature with multidimensional poverty literature to analyze the impact of out-of-pocket health expenditure on overall well-being. Our study suggests that, in the rural area of developing countries, especially where health care system is in its infancy, households may be driven into poverty by health-related deprivation more than monetary deprivation. Therefore, policy-makers should evaluate and design welfare policy from a broader perspective other than only focusing on addressing the monetary poverty. The last chapter attempts to evaluate the impacts of a block-randomized social experiment in rural China, which implemented the provider payment intervention on outpatient services. Difference-in-difference methods are employed to estimate the average treatment effect with a set of outcome variables related to out-of-pocket health expenditure. We find that the poor may benefit more from the interventions.

No description available.

The concept of multidimensional modeling has proven extremely successful in the area of Online Analytical Processing (OLAP) as one of many applications running on top of a data warehouse installation. Although many different modeling techniques expressed in extended multidimensional data models were proposed in the recent past, we feel that many hot issues are not properly reflected. In this paper we address ten common problems reaching from defects within dimensional structures over multidimensional structures to new analytical requirements and more.

Data warehouses (DWs) have traditionally been loaded with data at regular time intervals, e.g., monthly, weekly, or daily, using fast bulk loading techniques. Recently, the trend is to insert all (or only some) new source data very quickly into DWs, called near-realtime DWs (right-time DWs). This is done using regular INSERT statements, resulting in too low insert speeds. There is thus a great need for a solution that makes inserted data available quickly, while still providing bulk-load insert speeds. This paper presents RiTE ('Right-Time ETL'), a middleware system that provides exactly that. A data producer (ETL) can insert data that becomes available to data consumers on demand. RiTE includes an innovative main-memory based catalyst that provides fast storage and offers concurrency control. A number of policies controlling the bulk movement of data based on user requirements for persistency, availability, freshness, etc. are supported. The system works transparently to both producer and consumers. The system is integrated with an open source DBMS, and experiments show that it provides 'the best of both worlds', i.e., INSERT-like data availability, but with bulk-load speeds (up to 10 times faster).