The Cross-country growth literature commonly uses aggregate economy datasets such as the Penn World Table (PWT) to estimate homogeneous production function or convergence regression models.  Against the background of a dual economy framework this paper investigates the potential bias arising...

Since the seminal contribution of Gregory Mankiw, David Romer and David Weil (1992), the growth empirics literature has used increasingly sophisticated methods to select relevant growth determinants in estimating cross-section regressions.  The vast majority of empirical approaches however...

In this paper we ask how technological differences in manufacturing across countries can best be modeled when using a standard production function approach.  We show that it is important to allow for differences in technology as measured by differences in parameters.  Of similar importance are...

Despite the widely recognised importance of the manufacturing industry for successful development few studies investigate this sector in cross-country analysis. We fill this gap in the literature by analysing manufacturing production across a large number of developing and developed economies....

One of the most striking features of economic growth is the process of structural change whereby the share of agriculture in GDP decreases as countries develop. The cross-country growth literature typically estimates an aggregate homogeneous production function or convergence regression model...

In this paper we ask how technological differences in manufacturing across countries can best be modeled when using a standard production function approach. We show that it is important to allow for differences in technology as measured by differences in parameters. Of similar importance are...

The cross-country growth literature commonly uses aggregate economy datasets such as the Penn World Table (PWT) to estimate homogeneous production function or convergence regression models. Against the background of a dual economy framework this paper investigates the potential bias arising when...