The Treasury

About: The Treasury is a based out in . It is known for research contribution in the topics: Indirect tax & State income tax. The organization has 404 authors who have published 595 publications receiving 17892 citations.

Qualitative research in health care: Assessing quality in qualitative research

Abstract: This is the first in a series of three articles In the past decade, qualitative methods have become more commonplace in areas such as health services research and health technology assessment, and there has been a corresponding rise in the reporting of qualitative research studies in medical and related journals.1 Interest in these methods and their wider exposure in health research has led to necessary scrutiny of qualitative research. Researchers from other traditions are increasingly concerned to understand qualitative methods and, most importantly, to examine the claims researchers make about the findings obtained from these methods. The status of all forms of research depends on the quality of the methods used. In qualitative research, concern about assessing quality has manifested itself recently in the proliferation of guidelines for doing and judging qualitative work.2–5 Users and funders of research have had an important role in developing these guidelines as they become increasingly familiar with qualitative methods, but require some means of assessing their quality and of distinguishing “good” and “poor” quality research. However, the issue of “quality” in qualitative research is part of a much larger and contested debate about the nature of the knowledge produced by qualitative research, whether its quality can legitimately be judged, and, if so, how. This paper cannot do full justice to this wider epistemological debate. Rather it outlines two views of how qualitative methods might be judged and argues that qualitative research can be assessed according to two broad criteria: validity and relevance. #### Summary points Qualitative methods are now widely used and increasingly accepted in health research, but quality in qualitative research is a mystery to many health services researchers There is considerable debate over the nature of the knowledge produced by such methods and how such research should be judged Antirealists argue …

Machine Replacement and the Business Cycle: Lumps and Bumps

Abstract: This paper explores cyclical fluctuations in investment due to discrete changes in the plant's stock of capital. To do so, we focus on a machine replacement problem in which a producer decides whether to replace its entire existing stock of capital with new machinery and equipment. This decision is undertaken in a stochastic, dynamic environment which allows us to characterize the relationship between lumpy investment and the state of the aggregate economy. Our theoretical results are supplemented by numerical and empirical analyses of the dynamics of lumpy investment at the plant level and the associated aggregate implications. The dynamics are surprisingly rich since they represent the interaction between a replacement cycle, the cross sectional distribution of the age of the capital stock and the state of the aggregate economy. The empirical analysis of these dynamics is based on plant level investment data for the Longitudinal Research Database (LRD) for the 1972-91 period. Overall, we find that the frequency of lumpy investment activity is higher during periods of high economic activity and more likely the older is the capital. These empirical results are consistent with the predictions of our theoretical model. Nonetheless, the predicted path of aggregate investment that neglects the interaction of the non-flat hazard and the cross sectional distribution of the age of the capital stock tracks actual aggregate investment quite well. However, ignoring the fluctuations in the cross sectional distribution can yield predictable nontrivial errors in forecasting changes in aggregate investment in periods following large swings in aggregate investment.

Linkages among climate change, crop yields and Mexico–US cross-border migration

Abstract: Climate change is expected to cause mass human migration, including immigration across international borders. This study quantitatively examines the linkages among variations in climate, agricultural yields, and people's migration responses by using an instrumental variables approach. Our method allows us to identify the relationship between crop yields and migration without explicitly controlling for all other confounding factors. Using state-level data from Mexico, we find a significant effect of climate-driven changes in crop yields on the rate of emigration to the United States. The estimated semielasticity of emigration with respect to crop yields is approximately −0.2, i.e., a 10% reduction in crop yields would lead an additional 2% of the population to emigrate. We then use the estimated semielasticity to explore the potential magnitude of future emigration. Depending on the warming scenarios used and adaptation levels assumed, with other factors held constant, by approximately the year 2080, climate change is estimated to induce 1.4 to 6.7 million adult Mexicans (or 2% to 10% of the current population aged 15–65 y) to emigrate as a result of declines in agricultural productivity alone. Although the results cannot be mechanically extrapolated to other areas and time periods, our findings are significant from a global perspective given that many regions, especially developing countries, are expected to experience significant declines in agricultural yields as a result of projected warming.