This paper applies a probabilistic approach to investigate how the top European football clubs’ current value and debt levels influence their performance. Specifically, a bootstrapped conditional data envelopment analysis (DEA) is used in order to measure the effect of football clubs’...

One of the most debated issues in the Computable General Equilibrium (CGE) literature concerns the validity of the key behavioral parameters used in the calibration process. CGE modelers seldom estimate those parameters, preferring to borrow from the handful of estimates available in the...

In this paper authors analyzed the importance of investments in human resources. This has been done through an empirical study conducted in Serbian financial sector, in which we measure the impact of human resources index level (HR index) on company business results. Research was implemented in...

Standard Data Envelopment Analysis (DEA) approach is used to evaluate the efficiency of DMUs and treats its internal structures as a “black box”. The aim of this paper is twofold. The first task is to survey and classify supply chain DEA models which investigate these internal structures....

This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to...

This study examines the relationship between farm size and productivity in U.S. agriculture during 1982-92. A nonparametric regression method is applied to detect ex-post geographical patterns in changes in farm size and productivity. The estimations show that (i) in 1982 productivity per acre...

In this paper we apply the methodology proposed by Ioannides and Overman (2003) to estimate a local Zipf exponent using data for the entire twentieth century of the complete distribution of cities (incorporated places) without any size restrictions in the US. First, we run kernel regressions...

The paper investigates whether transforming a time series leads to an improvement in forecasting accuracy. The class of transformations that is considered is the Box-Cox power transformation, which applies to series measured on a ratio scale. We propose a nonparametric approach for estimating...

This paper analyzes the impact of Research and Development (R&D) on the productivity of China's high technology industry. In order to capture important differences in the effect of R&D on output that arise from geographic and socioeconomic differences across three major regions in China, we use...

By using a sample of 77 countries our analysis applies several nonparametric techniques in order to reveal the link between national culture and corruption. Based on Hofstede’s cultural dimensions and the corruption perception index, the results reveal that countries with higher levels of...