scholarly journals On the Estimation of Causality in a Bivariate Dynamic Probit Model on Panel Data with Stata Software: A Technical Review

2018 ◽  
Vol 08 (06) ◽  
pp. 1257-1278 ◽  
Author(s):  
Richard Moussa ◽  
Eric Delattre
Keyword(s):  
Panel Data ◽  
Probit Model ◽  
Technical Review ◽  
Dynamic Probit Model

scholarly journals The Impact of Agricultural Technologies on Poverty and Vulnerability of Smallholders in Ethiopia: A Panel Data Analysis

2020 ◽  
Vol 147 (2) ◽  
pp. 517-544 ◽  
Author(s):  
Wubneshe Dessalegn Biru ◽  
Manfred Zeller ◽  
Tim K. Loos
Keyword(s):  
Panel Data ◽  
Unobserved Heterogeneity ◽  
Panel Data Analysis ◽  
Probit Model ◽  
Special Focus ◽  
Switching Regression ◽  
Agricultural Technologies ◽  
Adoption Decision ◽  
Vulnerable Households ◽  
The Impact

AbstractMany studies evaluating the impact of adoption on welfare focused on adoption of a single technology giving little attention on the complementarity/substitutability among agricultural technologies. Yet, smallholders commonly adopt several complementary technologies at a time and their adoption decision is best characterized by multivariate models. This paper, therefore, examines the impact of multiple complementary technologies adoption on consumption, poverty and vulnerability of smallholders in Ethiopia. The study used a balanced panel data obtained from a survey of 390 farm households collected in 2012, 2014 and 2016. A two stage multinomial endogenous switching regression model combined with the Mundlak approach and balanced panel data is employed to account for unobserved heterogeneity for the adoption decision and differences in household and farm characteristics. An ordered probit model is used to analyze the impact on poverty and vulnerability. We find that the adoption of improved technologies increases consumption expenditure significantly and the greatest impact is attained when farmers combine multiple complementary technologies. Similarly, the likelihood of households to remain poor or vulnerable decreased with the adoption of different complementary technologies. We therefore conclude that the adoption of multiple complementary technologies has substantial dynamic benefits that improve the welfare of smallholders in the study area, and given the observed low level of adoption rates, we suggest that much more intervention is warranted, with a special focus on poorer and vulnerable households, to ensure smallholders get support to improve their input use.

scholarly journals Determinants of persistence in innovation of electronics enterprise in Ho Chi Minh city

2016 ◽  
Vol 19 (2) ◽  
pp. 67-76
Author(s):  
Long Thanh Tran ◽  
Nguyen The Huynh
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Probit Model ◽  
Ho Chi Minh City ◽  
Factors Affecting ◽  
Enterprise Surveys ◽  
Dynamic Probit Model ◽  
Conditional Maximum

This study analyzes the factors affecting the persistence in innovation of enterprises in electronics industry in Ho Chi Minh City using DPM (Dynamic Probit Model) with MLE (Maximum Likelihood Estimation) and CML (Conditional Maximum Likelihood) estimation method. Data are collected from annual enterprise surveys in the period between 2007 and 2013 by GSO. The results show that firm size and foreign ownership affect the persistent innovation of the electronic enterprises in Ho Chi Minh City. This indicates that enterprises in the electronic industry in the upcoming time need to strengthen and enhance size, attract foreign investment to facilitate this innovation performance for the stable and sustainable development

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