R&D activities by one industry often have positive effects on the productivity performance of other industries, as a consequence of technology spillovers. Econometric problems (such as multicollinearity), however, have prevented researchers from identifying the industries that have been...

The interest on regional economics has strongly developed in the lastest decades; however, and in spite of the great extension of the information that statistical sources of data offer to economic researchers, one of the major problems arising with these kind of studies still keep being the lack...

The classical approach to estimate spatial models lays on the choiceof a spatial weights matrix that reflects the interactions among locations. The ruleused to define this matrix is supposed to be the most similar to the «true» spatialrelationships, but for the researcher is difficult to...

Structural decomposition analysis (SDA) has been widely used to assess the relative importance of effects that together constitute a change in the variable of interest. A well-known problem of SDA is that the results often depend strongly on the specific decomposition formula chosen, whereas...

A true Cost of Living (COL) index measures the expenditure ratio of maintaining a utility level for two price vectors. Its application and empirical testing has been, generally, focalized on a temporal perspective. The aim of this paper is to calculate a spatial COL for the regions of Spain. For...

Every once in a while, national governments face difficult decision problems regarding financial support of important domestic firms or even entire national national industries. Similar problems are often faced by regional or urban governments. Given these problems, it is important to get...

Structural decomposition analysis (SDA) is a well-known methodology to assess the relative importance of effects that together constitute the actual change in a variable of interest. A widely recognized problem of SDA is that the results often depend strongly on the specific decomposition...

Structural decomposition techniques are used to break down the changes in one variable into the changes in its determinants. Typically, these determinants are assumed to be independent. Using the decomposition of value added growth as a prototype example, this paper examines the phenomenon that...

This paper introduces a simple dynamic input-output model, in which some of the most important properties of recent endogenous growth theory are included: innovation, knowledge spillovers, constant returns to scale at the macro level, and full employment. The wish to keep the hybrid model as...