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Recognising that aid effectiveness critically depends upon the quality of host country institutions and policies, international aid agencies have sought to inform their activities through more systematic political economy analysis (PEA). Three analytical frameworks for PEA are compared,...
Persistent link: https://www.econbiz.de/10011430193
This paper examines the tensions that exist in financial inclusion policy between donor approaches founded on market modernism and governments with more activist leanings. It draws on political economy analysis - now frequently used by donors themselves - to demonstrate the underlying dynamics...
Persistent link: https://www.econbiz.de/10011430198
Incluye bibliografía ; El estimador de Arellano y Bond (1991) es muy popular entre los investigadores empíricos para estimar modelos dinámicos de panel con efectos fijos y regresores endógenos. Sin embargo, dicho estimador puede presentar sesgos cuando el número de unidades del panel (N) es...
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This article is based on a study that was commissioned by the Youth Justice Board for England and Wales. We report on the learning profiles and education needs of a cohort of young offenders who were recruited for the study. The research was a national cross‐sectional survey of 301 young...
Persistent link: https://www.econbiz.de/10014852517
This article reviews Regression Models for Categorical Dependent Variables Using Stata, Second Edition, by Long and Freese.
Persistent link: https://www.econbiz.de/10004964306
-gologit2- is a user-written program that estimates generalized logistic regression models for ordinal dependent variables. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. A major strength of -gologit2-...
Persistent link: https://www.econbiz.de/10005074211
The assumptions of the ordered logit/probit models estimated by ologit and oprobit are often violated. When an ordinal regression model incorrectly assumes that error variances are the same for all cases, the standard errors are wrong and (unlike OLS regression) the parameter estimates are...
Persistent link: https://www.econbiz.de/10005053290