Endogeneity and panel data in growth regressions: A Bayesian model averaging approach
نویسندگان
چکیده
منابع مشابه
Panel Growth Regressions with General Predetermined Variables: Likelihood-Based Estimation and Bayesian Averaging
In this paper I estimate empirical growth models simultaneously considering endogenous regressors and model uncertainty. In order to apply Bayesian methods such as Bayesian Model Averaging (BMA) to dynamic panel data models with predetermined or endogenous variables and fixed effects, I propose a likelihood function for such models. The resulting maximum likelihood estimator can be interpreted ...
متن کاملDeterminants of Economic Growth: A Bayesian Panel Data Approach∗
Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with countryspecific fixed effects in order to simultaneously address model uncertainty and endogeneity issues. The empirical findi...
متن کاملPredicting waste generation using Bayesian model averaging
A prognosis model has been developed for solid waste generation from households in Hoi An City, a famous tourist city in Viet Nam. Waste sampling, followed by a questionnaire survey, was carried out to gather data. The Bayesian model average method was used to identify factors significantly associated with waste generation. Multivariate linear regression analysis was then applied to evaluate th...
متن کاملBayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development
Recent approaches to development accounting reflect substantial model uncertainty at both the instrument and the development determinant level. Bayesian Model Averaging (BMA) has been proven useful in resolving model uncertainty in economics, and we extend BMA to formally account for model uncertainty in the presence of endogeneity. The new methodology is shown to be highly efficient and to red...
متن کاملBayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants1
Recent approaches to development accounting reflect substantial model uncertainty at both the instrument and the development determinant level. Bayesian Model Averaging (BMA) has been proven useful in resolving model uncertainty in economics, and we extend BMA to formally account for model uncertainty in the presence of endogeneity. The new methodology is shown to be highly efficient and to red...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Macroeconomics
سال: 2015
ISSN: 0164-0704
DOI: 10.1016/j.jmacro.2015.07.003