[PDF] Top 20 Essays in panel data econometrics with cross sectional dependence

... Panel data offer a lot of time series and cross-sectional variation which can facilitate the identification of parameters which are difficult to identify with only time series or ... See full document

... heterogeneous panel following the work of Im, Pesaran, and Shin (2003), which we refer to as the F-IPS ...of cross-sectional ...of cross-sectional dependency are presented: the …rst is ... See full document

... In view of these, in this paper we propose a computationally attractive instrumental variable (IV) estimator for consistent estimation of dynamic linear panel data models under cross-sectional ... See full document

... This paper investigates the performance of the Hadri (2000) tests in the presence of cross- section dependence. Based on Monte Carlo simulations we …nd that the Hadri (2000) tests also su¤er from severe ... See full document

... international panel, Ferson and Harvey (1993) find that nation- specific betas do time-vary with international risk factors, but that movements in the betas contribute only a small fraction to predicted variation ... See full document

... 2007). Cross sectional dependence is deemed to exist when there are strong co-movements among economic ...first-generation panel unit-root test may over-reject the stationary null and maybe ... See full document

... is cross-sectional dependence in the errors due to unobserved common factors generated by strategic ...either cross-section means or principal components to proxy the factors we find that ... See full document

... the cross-sectional dimension, this specification implies serious problems of statistical ...in panel with a heterogeneous autoregressive root is generally used as ... See full document

... Cross-sectional Dependence in Panel Data Analysis Sarafidis, Vasilis and Wansbeek, Tom The University of Sydney.[r] ... See full document

... strong cross-sectional dependence among CEE ...Fourth, cross-sectional dependence is the prominent feature of the panel data ...among panel units can be ... See full document

... annual data for more than hundred high, middle and low countries (based on the definitions of income levels suggested by the World Bank), this paper provide new evidence on the effect of exogenous shocks on ... See full document

... yearly data for 1980-2015 ...as Cross sectional dependence to see if shocks that occur in one country affect another, Panel unit root test to check the stationary of the data and ... See full document

... dynamic panel data models, it is commonly assumed that the residuals are independently distributed across individuals (see ...the cross-sectional ... See full document

... Apart from the TIV measure, there is a Treasury option volatility measure available in the market, the Merrill Lynch Option Volatility Estimate (MOVE) index. The MOVE is a yield curve weighted index of the normalized ... See full document

... The data set consists of annual observations on GDP per capita and HC (proxied by index of HC per person, based on years of schooling and returns to education as suggested by Barro and Lee (2010) and ... See full document

... Next, Model RC-F (Random Coefficients with Fixed Controls) allows hetero- geneity in voters’ responses to campaign expenditures in section 3.6. This specification corresponds to the “BLP” random coefficients logit model ... See full document

... In this meta-analysis, we evaluated the impact of medi- cation adherence on disease activity in patients with RA. Interestingly, the results of the meta-analysis indicated that there was no significant difference between ... See full document

... the data structure of the 2014 REF Economics and Econo- metrics ...REF data. We employ four independent co- variates in the process of data generation: x 1 and x 2 are Gaussian covariates with a ... See full document

... conventional panel regression techniques such as fixed effects (FE) and random effects (RE) estimators are generally biased and ...of panel data ... See full document

... The OBAC weights are calculated using BMA. This forecasting method incorporates model uncertainty and usually improves predictive power of regression-based approaches substantially as compared to any single regression ... See full document