學術產出-Theses

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 利用分量迴歸評估台灣地區醫療資源之空間分布與變遷
Using quantile regression to evaluate the spatial distribution and change of health practitioner in Taiwan
作者 林虹妤
貢獻者 鄭宗記
林虹妤
日期 2001
上傳時間 18-Sep-2009 19:09:30 (UTC+8)
摘要 
Measures of inequality are used by economists to answer a wide range of questions. For example, sociologists are interested in the distribution of income. In this paper, the term "inequality" is used in a purely described sense. It is not intended to describe any message on the fairness of the differences in health geographically, as implied by the term "inequity". One of the famous measures is the Gini-style index. The Gini index is often described in terms of Lorenz curve. This measure is mainly used in the social science to evaluate the relationship between two variables. The index also provides appealing criteria without any unnecessary parametric assumptions about the specific form of the inequality index or the social welfare function. In spite of the disadvantage of the Gini index, the Gini index of multivariate variables is not well defined. Therefore, quantile regression (QR) is used in the paper.
      QR proposed by Koenker (1978) is used to analyze the distribution and change of health practitioners in Taiwan between 1994 and 2000. The aspects of measuring the extreme and intermediate of a distribution have important meanings in many fields. Many studies have used the least squares estimator to predict interesting variable although the least squares estimator cannot describe the whole distribution sufficiently only depending on a mean equation. Besides, there is an impact on parameters solved by using the least square estimators which have higher sensitivities to extreme values. QR is avoided by the influence of extreme values. The QR of multivariate data is well defined. The distribution of health practitioners can be described completely by the distribution of practitioners at different quantiles. QR provides an alternative way to investigate the distribution of health manpower. It is interested to investigate that if inequalities reduce after applying the National Health Insurance (NHI).
描述 碩士
國立政治大學
統計研究所
89354017
90
資料來源 http://thesis.lib.nccu.edu.tw/record/#G91NCCU1922012
資料類型 thesis
dc.contributor.advisor 鄭宗記zh_TW
dc.contributor.author (Authors) 林虹妤zh_TW
dc.creator (作者) 林虹妤zh_TW
dc.date (日期) 2001en_US
dc.date.accessioned 18-Sep-2009 19:09:30 (UTC+8)-
dc.date.available 18-Sep-2009 19:09:30 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 19:09:30 (UTC+8)-
dc.identifier (Other Identifiers) G91NCCU1922012en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36664-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 統計研究所zh_TW
dc.description (描述) 89354017zh_TW
dc.description (描述) 90zh_TW
dc.description.abstract (摘要) zh_TW
dc.description.abstract (摘要) Measures of inequality are used by economists to answer a wide range of questions. For example, sociologists are interested in the distribution of income. In this paper, the term "inequality" is used in a purely described sense. It is not intended to describe any message on the fairness of the differences in health geographically, as implied by the term "inequity". One of the famous measures is the Gini-style index. The Gini index is often described in terms of Lorenz curve. This measure is mainly used in the social science to evaluate the relationship between two variables. The index also provides appealing criteria without any unnecessary parametric assumptions about the specific form of the inequality index or the social welfare function. In spite of the disadvantage of the Gini index, the Gini index of multivariate variables is not well defined. Therefore, quantile regression (QR) is used in the paper.
      QR proposed by Koenker (1978) is used to analyze the distribution and change of health practitioners in Taiwan between 1994 and 2000. The aspects of measuring the extreme and intermediate of a distribution have important meanings in many fields. Many studies have used the least squares estimator to predict interesting variable although the least squares estimator cannot describe the whole distribution sufficiently only depending on a mean equation. Besides, there is an impact on parameters solved by using the least square estimators which have higher sensitivities to extreme values. QR is avoided by the influence of extreme values. The QR of multivariate data is well defined. The distribution of health practitioners can be described completely by the distribution of practitioners at different quantiles. QR provides an alternative way to investigate the distribution of health manpower. It is interested to investigate that if inequalities reduce after applying the National Health Insurance (NHI).
en_US
dc.description.tableofcontents Chapter 1 Introduction-----1
     
     Chapter 2 Gini Index-----3
      2.1 Gini`s Mean Difference-----4
      2.2 Gini Coefficient-----9
      2.3 Gini Regression-----11
     
     Chapter 3 Quantile Regression-----14
      3.1 Introduction to QR-----15
      3.2 Review of QR`s Application-----21
      3.3 Illustration of the QR and Gini Index-----26
     
     Chapter 4 Empirical Study: Medical Manpower in Taiwan-----41
      4.1 Data Description-----45
      4.2 Number of Physicians-----48
      4.3 Density of Physicians-----53
      4.4 the Growth Rate of Physicians-----58
     
     Chapter 5 Conclusions and Comment-----83
     
     References-----86
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G91NCCU1922012en_US
dc.title (題名) 利用分量迴歸評估台灣地區醫療資源之空間分布與變遷zh_TW
dc.title (題名) Using quantile regression to evaluate the spatial distribution and change of health practitioner in Taiwanen_US
dc.type (資料類型) thesisen