On the relationship between resource funds, governance and institutions: Evidence from quantile regression analysis

Commodities and corruption – How the middle class and democratic institutions lead to less corruption in resource-rich countries

“…Second, political institutions reduce or add to the opportunities for bribe payers to obtain these natural resource rents. Third, the recent debate shifted to looking at how rent-seeking can be reduced by managing resource wealth differently -for instance through resource funds (Tsani, 2015).…”

Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center

“…In this section, the Piecewise Median Underlying (PMU) method [5], the Local regression (Loess) smoothing method [3], and the Moving Average (MA) smoothing method [4] are used for extracting the main trend of the storage volume. Table 1 gives the Cov result based on the three methods under different window size and Figure 8 shows the extraction result of the three methods.…”

“…For example, [3] employs an STL method to decompose the main trend based on Loess, while [4] applies a piecewise approximation method to extract the underlying long-term trend. Reference [5] explores a quantile regression method to extract the main trend. Though these methods can achieve the main trend, they still have some shortcomings.…”

“…But it cannot give specific data of the main trend because it estimates the long-term trend by median values in certain window. As for the regression method [5], it cannot obtain the main trend directly and has to go further by using interpolation methods to get the main trend, for example, the linear or B-spline interpolation method. This may cause overfitting when the time series is short or achieve poor extraction result because the large blocks of outliers would distort the spline and yield a large number of incorrect interpolation results.…”

The impact of national IQ on longevity: New evidence from quantile regression

“…This technique, increasingly popular in the field of empirical economic research (Tsani, 2015;Yu & Wilcox-Gök, 2015), is more robust and generates more efficient estimates compared to the OLS regression, because the quantile regression allows us to quantify the different magnitudes of the effect of the covariates on the entire distribution of the variable of interest, in our case, the level of life expectancy. Namely, it allows us to provide estimates of IQ-longevity relationship at different levels of lifespan conditional on covariates, so we argue that our study is a complement and reform to previous researches that applied classical OLS regression.…”