The recent blossoming of panel econometrics in general and panel time-series methods in particular has enabled many more research questions to be investigated than before. However, this development has not assuaged serious concerns over the lack of diagnostic testing procedures in panel...

This paper investigates two channels through which research and development (R&D) and human capital may affect regional total factor productivity growth in the manufacturing sector, using panel data on 159 EU-15 regions from 1992 to 2005.  Based on the endogenous growth model of Griffith,...

We investigate the impact of short-term weather and long-term climate on self-reported life satisfaction using panel data. We find robust evidence that day-to-day weather variation impacts life satisfaction by a similar magnitude to acquiring a mild disability. Utilizing two sources of variation...

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...

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....

Although research and development is widely considered to be an important source of growth, relatively little is known about how its effects differ across industries. This is mainly because much research on the effect of R&D has used either cross-section or time-series data and the remainder has...

The growth process for a technological leader is different from that of a follower. While followers can grow through imitation and capital deepening, a leader must undertake original research. This suggests that as the gap between the leader and the follower narrows, the follower must undertake...

We present evidence that an increase in investment as a share of GDP predicts a higher growth rate of output per worker, not only temporarily, but also in the steady state. These results are found using pooled annual data for a large panel of countries, using pooled data for non-overlapping...

The conventional Sargan (1958)/Hansen (1982) test of overidentifying restrictions and the Tilting Parameter test of Imbens, Spady and Johnson (1998) are compared in the context of the AR(1) dynamic panel data model using Monte Carlo experiments. Interestingly, the size properties of the former...