We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features whic...

Despite the abundance of theoretical and empirical studies on corruption, identifying successful anti-corruption strategies remains a challenge. This paper tests the effectiveness of an anti-corruption policy that is often discussed among practitioners: an increase in competition among offi cials providing the same good or service. In particular, we investigate whether overlapping jurisdictions...

Corruption is costly for developing nations’ economies, but scholars and policy makers do not fully understand who bears the cost of corruption. We conduct a field experiment in Malawi to determine the impacts of political connections, socioeconomic status, and shared ethnicity on the degree of corruption a citizen encounters across two contexts – police roadblocks and electricity service offic...

In an editorial titled “We Need to Talk About Corruption in Health Systems” the authors Hutchinson, Balabanova, and McKee hope to encourage a wider conversation about corruption in the health sector. Such conversations are difficult to hold for at least five reasons; it is hard to define corruption; corruption may allow some fragile health systems to subsist, shifting blame – are those involved...

background: informal payments in the health sector of many developing countries are considered as a major impediment to health care reforms. informal payments are a form of systemic fraud and have adverse effects on the performance of the health system. in this study, the frequency and extent of informal payments as well as the determinants of these payments were investigated in general hospita...

We present a knowledge and context-based system for parsing natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features which describe the m...

Abstract T his paper contributes to the existing literature by examining the determinants of health financing in 177 developed and developing countries. The study introduces the variables of government effectiveness and control of corruption to capture the impact of governance quality on different mechanisms of health financing. Utilisng panel data analysis, namely system...

Corruption is almost exist in all human societies throughout thehistory. Any continuation of corruption in different ages made most ofresearchers and policy makers to consider corruption as an inevitablepart of human being challenges (Mukum, 2008).Administrative corruption is common in most developed and/orunder –developed countries.In other words, there is no country in the world that has note...

Reluctance to talk about corruption is an important barrier to action. Yet the stakes of not addressing corruption in the health sector are higher than ever. Corruption includes wrongdoing by individuals, but it is also a problem of weak institutions captured by political interests, and underfunded, unreliable administrative systems and healthcare delivery models. We ur...