This paper develops both univariate and multivariate distributions based on Gram-Charlier and Edgeworth expansions, attempting to ensure non negativity by exploiting the orthogonal properties of the Hermite polynomials. The article motivates the problems underlying some specifications (in particular those involving other conditional moments beyond the variance) and provides empirical examples c...

This paper analytically derives a stability test for the probability distribution of random variable that follows Edgeworth–Sargan density, also called Gram–Charlier. The is weighted sum Chi-squared densities increasing degrees freedom, starting with standard equivalent under same conditions. weights turn out to be linear combinations parameters and moments Gaussian can computed exactly. conven...

The study aims to address public debt and government outflow affecting inflation in some of the countries Southeast Europe, observing a combination factors both theoretically econometrically. investigation included six (6) SEE countries, including 2006-2020 timeframe, with 90 observations. dynamic approach, fixed effect, Arellano/Bond estimator were used check parameters considered using panel ...

Abstract We propose a new method, the confidence interval (CI) to select valid instruments from larger set of potential for instrumental variable (IV) estimation causal effect an exposure on outcome. Invalid are such that they fail exclusion conditions and enter model as explanatory variables. The CI method is based CIs per instrument effects estimates selects largest group with all overlapping...

Encoder-decoder based architecture has been widely used in the generator of generative adversarial networks for facial manipulation. However, we observe that current fails to recover input image color, rich details such as skin color or texture and introduces artifacts well. In this paper, present a novel method named SARGAN addresses above-mentioned limitations from three perspectives. First, ...

This supplement provides proofs of the main theoretical results in Pesaran, Smith and Yagamata (2012, PSY) for the case of models with linear trends, and models with intercepts and serially correlated idiosyncratic errors. It also provides theoretical results for the cross sectionally augmented Sargan-Bhargava statistics, gives the details of a number of di¤erent panel unit root tests used in t...

Recent approaches to development accounting reflect substantial model uncertainty at both the instrument and the development determinant level. Bayesian Model Averaging (BMA) has been proven useful in resolving model uncertainty in economics, and we extend BMA to formally account for model uncertainty in the presence of endogeneity. The new methodology is shown to be highly efficient and to red...

Recent approaches to development accounting reflect substantial model uncertainty at both the instrument and the development determinant level. Bayesian Model Averaging (BMA) has been proven useful in resolving model uncertainty in economics, and we extend BMA to formally account for model uncertainty in the presence of endogeneity. The new methodology is shown to be highly efficient and to red...