This paper studies the saving behavior of rural households in Vietnam from two aspects: volume of savings and methods of saving. Two econometric models are conducted, the first one is a panel data model, used to examine the determinants of household saving; and the second one is a multinomial logit model used to investigate how a household chooses the way to save. Both models are based on the l...

The borders of EU are open for the movement of resources but still there can be some strong negative effects of international borders on productivity and knowledge spillovers compared to the internal regional borders. These negative effect could be due to language barriers, cultural differences, local rules and regulation, legal issues, property rights etc. These effects of international border...

This paper reconsiders the developments of model evaluation in macroeconometrics over the last forty years. Our analysis starts from the failure of Cowles foundation models. The different diagnosis of this failure are then analyzed to classify them in two groups: explanations related to problems in the theoretical models that lead to problems in the identification of the relevant econometric mo...

Article history: Received 29 July 2010 Received in revised form 2 May 2012 Accepted 4 July 2012 Available online xxxx A number of socio-economic factors influence broadband diffusion and are assumed to be responsible for the different levels of adoption among countries. Most of the approaches met in literature do not take into account the different stages of the diffusion process and they are p...

The principal aim of this paper is to demonstrate how the coordinate-free methods of linear statistical models may be adapted to the analysis of econometric models, and to explain why such methods are useful for teaching purposes. The application of coordinate-free methods to linear statistical models cast in Euclidean space was first introduced by Kruskal(1961). Later, the methodology was exte...

This paper provides a survey of the existing literature on spatial panel data models. Both static and dynamic models will be considered. The paper also demonstrates that spatial econometric models that include lags of the dependent variable and of the independent variables in both space and time provide a useful tool to quantify the magnitude of direct and indirect effects, both in the short te...

This paper evaluates the effects of high-frequency uncertainty shocks on a set of lowfrequency macroeconomic variables representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies. We find that credit and labor market variables react the most t...

A range of parameter changes in I(1) cointegrated time series are not reflected in econometric models thereof, in that many shifts are not easily detected by conventional tests. The breaks in question are changes that leave the unconditional expectations of the I(0) components unaltered. Thus, dynamics, adjustment speeds etc. may alter without detection. However, shifts in long-run means are ge...

A large portion of Macroeconomic and Financial research is built upon classical applications of Linear Algebra (such as regression analysis) and Stochastic Calculus (such as valuation models). As a result, most Macroeconomic and Financial research has inherited a focus on geometric locations rather than logical relations. Ideally, Econometric models could be complemented with Topological and Gr...