Trends in time series data estimated with OLS linear regression may be tested with a robust procedure that is less sensitive to influential observations and violations of regression assumptions. The test consists of comparing the average age of data tritiles. If the higher tritiles are newer a...

Film industry has been under investigation from social scientists for the last 30 years. A lot of the work has been dedicated to the analysis of the sequel effect on film revenue. The current paper employs data on wide releases in the US from 2010 to 2014 and provides a new look at sequel return...

This research aims to test empirically the relationship between the Financial Performances (Profitability) and the level of Corporate Governance Disclosure (CGD) by the listed non-financial companies in Bangladesh. Data are taken from annual reports of the listed companies in the 2007. This...

The Stata package krls implements kernel-based regularized least squares (KRLS), a machine learning method described in Hainmueller and Hazlett (2014) that allows users to tackle regression and classi cation problems without strong functional form assumptions or a speci cation search. The...

This paper shows that high energy subsidies and low public social spending can emerge as an equilibrium outcome of a political game between the elite and the middle-class when the provision of public goods is subject to bottlenecks, reflecting weak domestic institutions. We test this and other...

This paper combines the approach by Guimarães and Portugal (2010) with the methodology of Gelbach (2015) to investigate the determinants of the least squares bias of the wage return to education. We find that disregarding individual fixed effects is highly problematic, accounting for 95% of the...