scholarly journals Infant Mortality in Rural Bangladesh: State Dependence vs. Unobserved Heterogeneity

2009 ◽  
Author(s):  
Unnati Saha ◽  
Arthur H. O. van Soest
2009 ◽  
Vol 38 (3) ◽  
pp. 523-554 ◽  
Author(s):  
Lorenzo Cappellari ◽  
Richard Dorsett ◽  
Getinet Haile

2021 ◽  
Author(s):  
Ariel Pakes ◽  
Jack R. Porter ◽  
Mark Shepard ◽  
Sophie Calder-Wang

JAMA ◽  
2011 ◽  
Vol 305 (19) ◽  
Author(s):  
Keith P. West ◽  
Parul Christian ◽  
Alain B. Labrique ◽  
Mahbubur Rashid ◽  
Abu Ahmed Shamim ◽  
...  

2000 ◽  
Vol 8 (4) ◽  
pp. 367-380 ◽  
Author(s):  
Christopher J. W. Zorn

As applications of duration analysis have burgeoned in political science, scholars have become increasingly aware of the potential substantive importance of duration dependence: the extent to which the conditional hazards of the events of interest are rising or falling over time. Here I discuss the issue of duration dependence, focusing on the distinction between “spurious” dependence due to unobserved heterogeneity and “true” duration dependence due to state dependence in the process of interest. I present a simple extension of a commonly used parametric duration model—the Weibull model—which allows researchers to assess the influence of causal variables on the nature and extent of duration dependence in their data. I then illustrate the application of this “generalized Weibull” model using data on the duration of international alliances.


2018 ◽  
Vol 16 (1) ◽  
pp. 123-130 ◽  
Author(s):  
Md Farouq Imam ◽  
Mohammad Amirul Islam ◽  
MJ Hossain

Poverty is a multi-faced problem in the developing world and it is much more complex in rural settings. Hence, policy formulation based on national level studies sometimes fails to find remedies of rural poverty. Thus, the present study aims to identify the determinants of poverty in rural Bangladesh using the nationally representative Household Income and Expenditure Survey (HIES) 2010 data. The HIES follows a hierarchical structure hence, two-level random intercept binary logistic regression models were used to capture the unobserved heterogeneity between communities along with revealing important factors associated with poverty. The analyses found that 32% of the households were absolute poor and 19% were extremely poor in rural Bangladesh. The potential factors having significant association with poverty were found to be age and education of household head, division, household size, household types, number of dependents, per capita income, household own land, access to electricity, amount of cultivable land, engagement in livestock and farm forestry, household non-agricultural assets, number of male earner and number of female earner in the family. Significant community-level variations were observed in the analyses which emphasis the need for special attention on the poor performing communities. Specific policy recommendations have been suggested for the poverty alleviation of rural households in Bangladesh.J. Bangladesh Agril. Univ. 16(1): 123-130, April 2018


The Lancet ◽  
1985 ◽  
Vol 326 (8445) ◽  
pp. 28-30 ◽  
Author(s):  
Mizanur Rahman ◽  
Bogdan Wojtyniak ◽  
M. Mujibur Rahaman ◽  
K.M.S. Aziz

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