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Homogeniczny bootstrap Simara i Wilsona w estymacji miary efektywności technicznej

100%
Prędki A.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
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2012
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issue 884
103-117
EN
The main use of DEA is to calculate an estimate of the Farrell technical efficiency measure. By defining the statistical model, the stochastic version of the method is received, enabling us to derive the asymptotical form of sampling distribution of the estimate (called the DEA estimator). However, the distribution depends on unknown constants, which make deriving estimates of dispersion measures quite difficult. Thus, as an alternative, I used Simar and Wilson’s homogeneous bootstrap, a relatively simple and frequently used bootstrap procedure available in a software package for Frontier Efficiency Analysis with R (FEAR). The method is illustrated with an empirical example based on real data from the Polish energy sector.
2

IS THERE ANY RELATIONSHIP BETWEEN PRODUCER PRICE INDEX AND CONSUMER PRICE INDEX IN SLOVAKIA? A BOOTSTRAP ROLLING APPROACH

88%
Su C.-W., Khan K., Lobont O.-R., Sung H.-C.
Ekonomický časopis (Journal of Economics)
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2016
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vol. 64
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issue 7
611 – 628
EN
This study examines the causal link between the producer price index (PPI) and the consumer price index (CPI) in Slovakia. We use the bootstrap Granger full sample causality, and the sub-sample rolling window approach and results indicate the unidirectional causality running from the PPI to the CPI. By taking the structural changes into consideration, the full sample causal relationship is unstable and such results are misappropriated. Further, we use a time-varying rolling window approach to revisit the dynamic causal relationship between the PPI and the CPI. It indicates the existence of bi-directional causality between the two series in several sub-samples and the result supports the neoclassical profit-maximizing model, which shows that PPI plays a key role in the CPI in the Slovakia. We find that the PPI has a more contributing role to the CPI so the central bank can minimise the inflation by taking certain predictive measures to keep the input prices under control. The central bank should consider the reliable response of the prices at an aggregated and disaggregated level of production in the formulation of inflation targeting.
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