Analysis and evaluation of public health policy in Cuba : progress on millennium development goals

[EN] The main objective of this project is to analyze Cuban public health policy and the Millennium Development Goals, especially those linked to the issue of health, presenting their potential and strengths with a well-defined time horizon (2000-2015). The Millennium Development Goals are the international consensus on development and was signed as an international minimum agreement, with which began the century. The MDGs promote various goals and targets, with the corresponding monitoring indicators, which should be achieved by all countries for the present year. Health is an area that is at the center of the Millennium Development Goals, which reinforce each other to get a true human development itself. The research was done through theoretical frameworks of social production of health and disease, social justice and the power structure. A retrospective analysis of Cuban economic and social context is performed in order to study whether health-related MDGs are likely to be completed by the deadline on the island and likewise, the main parameters related to health compared with those of the neighboring countries in the Americas.

Analysis and evaluation of public forest policies.

XVIII IUFRO World Congress, Ljubljana 1986.

Bootstrap for panel data models with an application to the evaluation of public policies

Le but de cette thèse est d étendre la théorie du bootstrap aux modèles de données de panel. Les données de panel s obtiennent en observant plusieurs unités statistiques sur plusieurs périodes de temps. Leur double dimension individuelle et temporelle permet de contrôler l 'hétérogénéité non observable entre individus et entre les périodes de temps et donc de faire des études plus riches que les séries chronologiques ou les données en coupe instantanée. L 'avantage du bootstrap est de permettre d obtenir une inférence plus précise que celle avec la théorie asymptotique classique ou une inférence impossible en cas de paramètre de nuisance. La méthode consiste à tirer des échantillons aléatoires qui ressemblent le plus possible à l échantillon d analyse. L 'objet statitstique d intérêt est estimé sur chacun de ses échantillons aléatoires et on utilise l ensemble des valeurs estimées pour faire de l inférence. Il existe dans la littérature certaines application du bootstrap aux données de panels sans justi cation théorique rigoureuse ou sous de fortes hypothèses. Cette thèse propose une méthode de bootstrap plus appropriée aux données de panels. Les trois chapitres analysent sa validité et son application. Le premier chapitre postule un modèle simple avec un seul paramètre et s 'attaque aux propriétés théoriques de l estimateur de la moyenne. Nous montrons que le double rééchantillonnage que nous proposons et qui tient compte à la fois de la dimension individuelle et la dimension temporelle est valide avec ces modèles. Le rééchantillonnage seulement dans la dimension individuelle n est pas valide en présence d hétérogénéité temporelle. Le ré-échantillonnage dans la dimension temporelle n est pas valide en présence d'hétérogénéité individuelle. Le deuxième chapitre étend le précédent au modèle panel de régression. linéaire. Trois types de régresseurs sont considérés : les caractéristiques individuelles, les caractéristiques temporelles et les régresseurs qui évoluent dans le temps et par individu. En utilisant un modèle à erreurs composées doubles, l'estimateur des moindres carrés ordinaires et la méthode de bootstrap des résidus, on montre que le rééchantillonnage dans la seule dimension individuelle est valide pour l'inférence sur les coe¢ cients associés aux régresseurs qui changent uniquement par individu. Le rééchantillonnage dans la dimen- sion temporelle est valide seulement pour le sous vecteur des paramètres associés aux régresseurs qui évoluent uniquement dans le temps. Le double rééchantillonnage est quand à lui est valide pour faire de l inférence pour tout le vecteur des paramètres. Le troisième chapitre re-examine l exercice de l estimateur de différence en di¤érence de Bertrand, Duflo et Mullainathan (2004). Cet estimateur est couramment utilisé dans la littérature pour évaluer l impact de certaines poli- tiques publiques. L exercice empirique utilise des données de panel provenant du Current Population Survey sur le salaire des femmes dans les 50 états des Etats-Unis d Amérique de 1979 à 1999. Des variables de pseudo-interventions publiques au niveau des états sont générées et on s attend à ce que les tests arrivent à la conclusion qu il n y a pas d e¤et de ces politiques placebos sur le salaire des femmes. Bertrand, Du o et Mullainathan (2004) montre que la non-prise en compte de l hétérogénéité et de la dépendance temporelle entraîne d importantes distorsions de niveau de test lorsqu'on évalue l'impact de politiques publiques en utilisant des données de panel. Une des solutions préconisées est d utiliser la méthode de bootstrap. La méthode de double ré-échantillonnage développée dans cette thèse permet de corriger le problème de niveau de test et donc d'évaluer correctement l'impact des politiques publiques.

Staff report on weakening the OPEC cartel : an analysis and evaluation of the policy options /

"R-6-15-32."

An evaluation of antitrust policy : its relation to economic growth, full employment, and prices.

Mode of access: Internet.

The political economy of co-ordination challenges in the National Health Service: a postpositivist evaluation of diabetes policy and governance

The present PhD thesis develops and applies an evaluative methodology suited to the evaluation of policy and governance in complex policy areas. While extensive literatures exist on the topic of policy evaluation, governance evaluation has received less attention. At the level of governance, policymakers confront choices between different policy tools and governance arrangements in their attempts to solve policy problems, including variants of hierarchy, networks and markets. There is a need for theoretically-informed empirical research to inform decision-making at this level. To that end, the PhD develops an approach to evaluation by combining postpositivist policy analysis with heterodox political economy. Postpositivist policy analysis recognises that policy problems are often contested, that choices between policy options can involve significant trade-offs and that knowledge of policy options is itself dispersed and fragmented. Similarly, heterodox economics combines a concept of incommensurable values with an appreciation of the strengths and weaknesses of different institutional arrangements to realise them. A central concept of the field is coordination, which orientates policy analysis to the interactions of stakeholders in policy processes. The challenge of governance is to select the appropriate policy tools and arrangements which facilitate coordination. Via a postpositivist exploration of stakeholder ‘frames’, it is possible to ascertain whether coordination is occurring and to identify problems if it is not. Evaluative claims of governance can be made where arrangements can be shown to frustrate the realisation of shared values and objectives. The research makes a contribution to knowledge in a number of ways a) a distinctive evaluative approach that could be applied to other areas of health and public policy b) greater appreciation of the strengths and weaknesses of different forms of evidence in public policy and in particular health policy and c) concrete policy proposals for the governance and organisation of diabetes services, with implications for the NHS more broadly.

Empirical evaluation of public transport travel time variability

Although transit travel time variability is essential for understanding the deterioration of reliability, optimising transit schedule and route choice; it has not attracted enough attention from the literature. This paper proposes public transport-oriented definitions of travel time variability and explores the distributions of public transport travel time using the Transit Signal Priority data. First, definitions of public transport travel time variability are established by extending the common definitions of variability in the literature and by using route and services data of public transport vehicles. Second, the paper explores the distribution of public transport travel time. A new approach for analysing the distributions involving all transit vehicles as well as vehicles from a specific route is proposed. The Lognormal distribution is revealed as the descriptors for public transport travel time from the same route and service. The methods described in this study could be of interest for both traffic managers and transit operators for planning and managing the transit systems.

Evaluation of public hospital performance in Khanh Hoa Province : Vietnam in connection with patient and staff satisfaction surveys

This research aimed to develop a framework for performance evaluation of public hospitals in Vietnam that is culturally, socially, and politically appropriate. The research included both qualitative and quantitative methods and identified and validated novel instruments to measure patient satisfaction and job satisfaction of hospital staff and to determine a set of hospital indicators that reflect the quality of hospital performance. New models for understanding the determinants of patient and staff satisfaction were developed along with a new performance indicator framework for hospital performance. These instruments will now be applied to the evaluation of hospital services in Khanh Hoa Province, permitting longer term evaluation of their effectiveness in changing system wide performance and satisfaction.

Economic evaluation of forest policy programs.

XVIII IUFRO World Congress, Ljubljana 1986.

Increasing forestry investments by means of public policy programs.

XVIII IUFRO World Congress, Ljubljana 1986.

The Role of Subjectivity and Knowledge Power Struggles in the Formation of Public Policy

There is a growing incentive for sociologists to demonstrate the use value of their research. Research ‘impact’ is a driver of research funding and a measure of academic standing. Academic debate on this issue has intensified since Burawoy’s (2004) call for a ‘public’ sociology. However the academy is no longer the sole or primary producer of knowledge and empirical sociologists need to contend with the ‘huge swathes’ of social data that now exist (Savage and Burrows, 2007). This article furthers these debates by considering power struggles between competing forms of knowledge. Using a case study, it specifically considers the power struggle between normative and empirical knowledge, and how providers of knowledge assert legitimacy for their truth claims. The article concludes that the idea of ‘impact’ and ‘use-value’ are extremely complex and depends in the policy context on knowledge power struggles, and on how policy makers want to view the world. © The Author(s) 2012