Applications tend to ignore that measured TFP reflects the variation of output that cannot be explained by changes in inputs. Such a change is not necessarily technological, so measured TFP differences across firms are an amalgam of technological, efficiency and other differences in attributes,...

Applications tend to ignore that measured TFP reflects the variation of output that cannot be explained by changes in inputs. Such a change is not necessarily technological, so measured TFP differences across firms are an amalgam of technological, efficiency and other differences in attributes,...

Total Factor Productivity (TFP) accounts for a sizeable proportion of the income and growth differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure; on the other hand, model uncertainty hampers...

In this paper, we present international comparisons of potential output growth among several economies —Canada, the euro area, France, Germany, Italy, Japan, the Netherlands, the United Kingdom, and the United States— for the period 1991-2004. The main estimates rely on a structural approach...

After two generations of economic growth, the next phase of structural transformation for Asia will have several salient features. Our results suggest that no single policy orientation, pathway, or even destination will apply to all economies. The main driver for each economy's structural change...

This paper investigates the impacts of Naira real exchange rate misalignment on Nigeria's economic growth using quarterly data spanning the period 2000- 2014. We derive estimates of Real Exchange Rate Misalignment (RERMIS) by computing deviations of the actual real exchange rate from a...

An error-correction model identifies determinants of growth consistent with results from panel regressions based on a standard Cobb-Douglas production function for El Salvador for 1970-1995, with structural factors affecting the technology variable and macroeconomics and expectations explaining...

The paper employs Artificial Neural Network (ANN) to forecast India's economic growth. Using the data set, during 1980-2005, it finds that ANN is an effective tool to forecast the economic growth. The ANN gives the evidence that there is possibility of extracting information hidden in the...

After two generations of economic growth, the next phase of structural transformation for Asia will have several salient features. Our results suggest that no single policy orientation, pathway, or even destination will apply to all economies. The main driver for each economy's structural change...

Spanish Abstract: La incertidumbre bajo periodos de inestabilidad institucional, traducida en violencia, puede destruir las dotaciones de capital físico y humano de la economía y, desestimular la inversión. En este trabajo se analiza el impacto de largo plazo de la violencia en el crecimiento...