The Contribution of Sectoral Productivity Differentials to Inflation in Greece

This paper estimates the magnitude of the Balassa-Samuelson effect for Greece. We calculate the effect directly, using sectoral national accounts data, which permits estimation of total factor productivity (TFP) growth in the tradeables and nontradeables sectors. Our results suggest that it is difficult to produce one estimate of the BS effect. Any particular estimate is contingent on the definition of the tradeables sector and the assumptions made about labour shares. Moreover, there is also evidence that the effect has been declining through time as Greek standards of living have caught up on those in the rest of the world and as the non-tradeables sector within Greece catches up with the tradeables.

The impact of demand management policies on black vs. white employment

This article uses vector autoregression analysis to examine the relative impacts on black and white employment growth of monetary and fiscal actions. It was found that the employment responses to anticipated policy actions, while significant, were generally short-lived, with the exception of the effects of anticipated money growth on white employment. The influences of unanticipated policy changes are of a longer duration. The predominant finding in which black employment growth responded differently from white employment growth was in response to a monetary shock. The black employment response was sharply negative while the white employment response was a gradual increase over nine quarters. The results indicate that this difference occurred only during the 1980s and not in the 1970s and suggests that the effects of bank failures and credit rationing during this period may have significantly hurt minority employment opportunities.     

Technical efficiency of sawnwood production in Ondo and Osun states,Nigeria

This study quantified technical efficiency and the determinants of observed technical inefficiency of sawmills in Nigeria. A two-stage sampling technique was used to select 170 sawmillers in Ondo and Osun states, while questionnaire was used to obtain data from them between October and December 2003. The stochastic frontier approach was used to estimate technical efficiency of both small- and medium-scale sawmills, while the ordinary least square (OLS) regression analysis was used to estimate the determinants of the observed technical inefficiency. Empirical results indicate that medium-scale sawmillers are more efficient than their small-scale counterparts. However, both groups of sawmillers in Nigeria have potentials to expand their output.