We analyse the effect of the anonymisation method multiplicative stochastic noise on the within estimation of a linear panel model. In particular, we concentrate on the panel model with serially correlated regressors. In addition to anonymisation as such, the serial correlation in a data set with only few points in time increases the bias of the within estimator and therefore must be taken into...

Consider a linear model setting in which the explanatory variables are specified by time series. To sequentially test for the stability of the regression parameters in time, we introduce a detector which is based on the first excess time of a CUSUM-type statistic over a suitably defined threshold function. The main aim of this paper is to derive the limit distribution of the detector. By provid...

This paper explores the issue of efficiency in English higher education using data envelopment analysis and stochastic frontier analysis to estimate an output distance function (which incorporates measures of both quantity and quality of teaching and research inputs and outputs) over a thirteen-year period. The study compares the efficiency estimates derived from various estimation methods, and...

T he main aim of this study is to investigate the impacts of population total, gross domestic product per capita, urbanization rate and energy use on carbon emissions in Nigeria for a period of 1981-2015 using autoregressive distributed lag approach to co-integration (ARDL). The empirical results revealed evidence of a long run relationship among the variables. The generalized ridge ...

the role of distance as border effects between trade partners has been created challengeable discussions in gravity model literature for international economists and lead to different theoretical aspects for measuring and modeling of it in recent years. moreover, the necessity of non-linear method for estimation of gravity model has been perfectly agreed. the importance of this study is the est...

Beginning in the mid-1980s, the phenomenon of capital flight from developing countries received considerable attention in the economics literature. Capital flight destroys the domestic macroeconomic environment and decreases transparency and accountability. It restricts financial resources when a country is looking for economic growth and development. The purpose of this article is to measure t...

In the present paper we study a semiparametric version of the Generalized Dynamic Factor Model introduced in Forni, Hallin, Lippi and Reichlin (2000). Precisely, we suppose that the common components have rational spectral density, while no parametric structure is assumed for the idiosyncratic components. The parametric structure assumed for the common components does not imply that the model h...

We construct an endogenous growth model and we employ empirical analysis to investigate the link between foreign aid and production inefficiency in the presence of different political orientations in the recipient country. Using a panel of 124 countries from 1971 to 2007 and the production frontier toolbox, controlling for unobserved heterogeneity, time horizons, the sources of aid, and the tim...

Moody’s databases of corporate issuers of long term bonds and structured products are used to estimate asset correlations across a group of sectors, world regions and products. The estimation of a dynamic factor model for default risk is performed using Bayesian methods. Results indicate that a two factor model rather than the one factor model, as proposed by the Basel II framework, better repr...

Abstract. Since 2021, Russia has maintained a list of unfriendly countries. This and the import ban introduced in 2014 are some main economic sanctions uses to influence trading partners. paper attempts quantify effect putting partner on countries compared Russian ban. The study data trade flows between its partners from UN COMTRADE database for select agri-food products. Employing gravity fram...