The Least-Squares Monte Carlo model (LSM model) has emerged as the derivative valuation technique with the greatest impact in current practice. As with other options valuation models, the LSM algorithm was initially posited in the field of financial derivatives and its extension to the realm of...

Our paper empirically examines how the decision to purchase private insurance and hospitalization are made based on household income, socio-demographic factors, and private health insurance factors in both Japan and the USA. Using these two data-sets, we found some similarities and...

An econometric model represents an important tool for simulating the principalmechanisms of economic systems. This could be applied at different scales, namely regional,national and international. When approaching this research field it should be kept in mind,permanently, that macroeconomic...

While there is a wide consensus in using survey weights when estimating population parameters, it is not clear what to do when using survey data for analytic purposes (i.e. with the objective of making inference about model parameters). In the model-based framework (MB), under the hypothesis...

The paper tests whether ex ante deviations from Uncovered Interest Rate Parity correspond to default risk premium. Using an automated model selection criteria and data for Brazil (from november 2001 until december 2007), we found that deviations are corre

Previous literature has studied the empirical characteristics of European Union Allowances (EUAs) and Certified Emissions Reductions (CERs) time series by using vector autoregression, impulse response function, and cointegration analysis (Chevallier (2010)). This paper extends the analysis by...

The link between foreign aid and economic growth remains a controversial issue in the literature, and a large share of the disagreement could be explained by differences in the data employed. Using GDP data from three different versions of the Penn World Table and the World Development...

Macroeconomic data have been shown to vary substantially between sources, especially so for low-income countries. While the impact of data revisions on inference is well documented for cross-country studies, there is no systematic analysis of the robustness of results obtained from time series...

This paper uses a Cholesky Factorization in a var analysis to investigate the relative importance of foreign and domestic shocks in the Venezuelan economy during the 1960:i- 2004:ii period. The economy is assumed to be driven by foreign (U. S. gdp and oil prices) and domestic (exchange rate,...

Purpose: The purpose of the paper was to estimate the interdependence between selected macroeconomic variables and non-performing loans in Ghana using a Bayesian Vector autoregressive approach. Design/methodology/approach: This paper used annual series from 2008-2017 which was interpolated into...