Search for dissertations about: "Pooled time series analysis"

Showing result 1 - 5 of 9 swedish dissertations containing the words Pooled time series analysis.

  2. 1. Essays on Social Capital, Health and Socioeconomic Inequalities in Health A Health Economic Study

    Author : Kamrul Islam; Socialepidemiologi; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; economic systems; economic theory; Economics; econometrics; Samhällsvetenskaper; Social sciences; epidemiologi; Folkhälsa; epidemiology; Public health; Sweden; Panel data fixed-effect model; Decomposition analysis; Concentration index; Socioeconomic health inequality; Population aging; Survival analysis; Extended Cox model; Multilevel analysis; Unbalanced panel data; Externalities; Crime rates; Election participation rates; Community social capital; Municipality-level social capital; Systematic review; Egalitarianism; Determinants of health; Mortality; Health-related quality of life; Health; Keywords; Social capital; economic policy; Nationalekonomi; ekonometri; ekonomisk teori; ekonomiska system; ekonomisk politik;

    Abstract : The thesis comprises four independent research papers and a summary that focus on two related dimensions. The first dimension focuses on the understanding of the production of health. Particularly, the question is asked whether community's stock of social capital influence individual's health. READ MORE

  4. 2. Pro-welfare politics : A model for changes in European welfare states

    Author : Sang-Hoon Ahn; Uppsala universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Sociology; Welfare state; Rights; Duties; Alliance; Social policy; Social insurance; Politics; Cleavages; Class; Welfare status; Multi-dimensional approach; Pooled time series analysis; LISREL; Sociologi; Sociology; Sociologi; Sociology; sociologi;

    Abstract : This dissertation explores the changing conditions of European welfare states and the underlying driving forces behind these changes. It is broadly based on the recently emphasized notions of dynamic structuring and internal structure of welfare programs, taking into account the new environment of the welfare state. READ MORE

  5. 3. The Analysis of Duration and Panel Data in Economics

    Author : Wolfgang Hess; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Monetary Exchange Rate Model; Homogeneity Testing; Panel Cointegration; Pooling; Duration of Trade; Unemployment Duration; Proportional Hazards; Unobserved Heterogeneity; Hazard Rate; Discrete-Time Duration Model; Threshold Excess Model;

    Abstract : This thesis is divided into two distinct parts. The first part contains three chapters dealing with the analysis of duration data from an econometric perspective and with application to trade durations. READ MORE

  6. 4. Essays on international comparisons of health care expenditure

    Author : Ulf Gerdtham; Linköpings universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; International comparisons; Health care expenditure; Econometric analysis; cross-national; Determinants of health care expenditure; INTERDISCIPLINARY RESEARCH AREAS; TVÄRVETENSKAPLIGA FORSKNINGSOMRÅDEN;

    Abstract : The five papers of this thesis continue the tradition of international comparisons of aggregate health care expenditure. The studies focus on econometric aspects, such as temporal stability of the estimated relationships, their functional form, and discrimination between different regression models. READ MORE

  7. 5. Mostly Panel Econometrics : Essays on Asymptotic Analysis and Enhanced Inference

    Author : Ovidijus Stauskas; Joakim Westerlund; Ignace De Vos; Milda Norkute; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Econometrics; Panel Data; Factor Models; Bootstrap; Forecasting; Non-Stationary Data; Common Correlated Effects; CCE;

    Abstract : This thesis consists of five chapters which focus on panel data theory. Four of them analyze explicit panel data models and one chapter deals with time series forecasting model, where external panel data help us estimate unobserved explanatory variables. READ MORE