scholarly journals Bayesian Estimation of Cox Models with Non-Nested Random Effects: An Application to the Ratification of ILO Conventions by Developing Countries

2008 ◽  
pp. 193 ◽  
Author(s):  
Horny ◽  
Boockmann ◽  
Djurdjevic ◽  
Laisney
Keyword(s):  
Developing Countries ◽  
Bayesian Estimation ◽  
Random Effects ◽  
Cox Models ◽  
Nested Random Effects

scholarly journals Why Do Household Businesses Stay Informal?

2020 ◽  
pp. 134-157
Author(s):  
Thi Bich Tran ◽  
Hai Anh La
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Random Effects ◽  
Random Effects Model ◽  
Qualitative And Quantitative ◽  
Quantitative Studies ◽  
Medium Enterprise ◽  
Enterprise Surveys ◽  
Net Benefits ◽  
Unbalanced Panel Data

Using unbalanced panel data from the small and medium enterprise surveys in 2005, 2007, 2009, 2011, 2013, and 2015, this chapter investigates factors associated with informality in Vietnam. We assume that household businesses, especially the top tier firms, become formal either because they perceive benefits of formalization such as an increase in the household performance, or because they want to escape bribes and harassment. Using the random effects model with controlling for the pre-formalization trends, our results show that productive household businesses stay informal because net costs from tax payment may surpass net benefits from formalization. Moreover, government controls do not promote formalization, especially among the ‘upper’ tiers of informal households. Our findings raise suspicions of collusion corruption between informal households in top tiers and officials. Future steps could be qualitative and quantitative studies to investigate collusion corruption as a determinant of informality in developing countries.

scholarly journals Midday Meals as an Early Childhood Nutrition Intervention: Evidence from Plantation Communities in Sri Lanka

2020 ◽  
Author(s):  
Udeni De Silva Perera ◽  
Brett A. Inder
Keyword(s):  
Developing Countries ◽  
Early Childhood ◽  
Sri Lanka ◽  
Random Effects ◽  
Nutrition Intervention ◽  
Child Malnutrition ◽  
Vulnerable Communities ◽  
Tea Plantations ◽  
Height For Age ◽  
Weight For Age

Abstract Background: High rates of child malnutrition are a major public health concern in developing countries, particularly among vulnerable communities. Midday meals programs can be effective for combatting childhood malnutrition among older children. However, their use in early childhood is not well documented, particularly within South Asia. Anthropometric measures and other socioeconomic data were collected for children below the age of five years living in selected Sri Lankan tea plantations, to assess the effectiveness of midday meals as a nutrition intervention for improving growth among young children.Methods: The study exploits a natural experiment whereby the provision of the midday meals program is exogenously determined at the plantation level, resulting in comparable treatment and control groups. Longitudinal data is regularly collected on heights and weights of children, between 2013-2015. Standardized weight-for-age, height-for-age, BMI-for-age and weight-for-height are calculated following WHO guidelines, and binary variables for stunting, wasting and underweight are constructed. All modelling uses STATA SE 15. Random-effects regression with instrumental variables is used for modelling standardized growth variables whilst random-effects logistic regression is used for binary outcome variables. Robustness analysis involves different estimation methods and subsamples. Results: The dataset consists of longitudinal data from a total of 1279 children across three tea plantations in Sri Lanka, with 799 children in the treatment group and 480 in the control group. Results show significant positive effects of access to the midday meals program, on the growth of children. A child with access to the midday meals intervention reports an average standardized weight-for-age 0.03 (±0.01) and height-for-age 0.05 (±0.01) units higher than a similar child without access to the intervention. Importantly, access to the intervention reduces the likelihood of being underweight by 0.45 and the likelihood of wasting by 0.47. The results are robust to different model estimations and across different subsamples by gender, birthweight and birth-year cohort. Qualitative data analysis suggests a high viability of implementing similar programs within tea plantations in Sri Lanka.Conclusions: Midday meals programs targeting early childhood can be an effective intervention to address high rates of child malnutrition, particularly among vulnerable communities in developing countries like Sri Lanka.

scholarly journals The algorithm of Bayesian estimation of maternal genetic and permanent maternal environmental variances in a two-trait binary threshold model

2011 ◽  
Vol 49 (No. 2) ◽  
pp. 58-63
Author(s):  
E. Skotarczak ◽  
M. Szyd ◽  
A. Dobek ◽  
K. Moli ◽  
T. Szwaczkowski
Keyword(s):  
Bayesian Estimation ◽  
Gibbs Sampling ◽  
Random Effects ◽  
Environmental Effects ◽  
Fixed Effects ◽  
Threshold Model ◽  
Sampling Procedure ◽  
Numerical Example ◽  
Estimation And Prediction

The paper presents an algorithm for the estimation and prediction of parameters in a two-trait binary threshold model. The model includes fixed effects and the following random effects: genetic direct additive, genetic maternal additive and permanent maternal environmental effects. The Gibbs sampling procedure was used to estimate the parameters. The algorithm was illustrated with a numerical example showing appropriateness of the proposed method.  

scholarly journals Pathway analysis for family data using nested random-effects models

2011 ◽  
Vol 5 (S9) ◽  
Author(s):  
Jeanine J Houwing-Duistermaat ◽  
Hae-Won Uh ◽  
Roula Tsonaka
Keyword(s):  
Random Effects ◽  
Pathway Analysis ◽  
Family Data ◽  
Random Effects Models ◽  
Nested Random Effects
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