Purchasing power parity: Evidence from developing Countries

This paper utilizes the dynamic error-correction model (DECM) to examine the issue of purchasing power parity (PPP) for 11 developing countries (Argentina, Bolivia, Colombia, Cote d'Ivoire, Ecuador, Guatemala, Kenya, Nigeria, Peru, South Africa, and Venezuela). For comparison purposes, evidence from the traditional unit root methods of the augmented Dickey-Fuller (ADF) and Phillips-Perron is presented. The results from the conventional unit root tests failed to find evidence of PPP in all of the cases. However, the results from the generalized error-correction model detected evidence of PPP for nine out of the 11 countries under consideration. Based on these results, it was concluded that PPP holds in the long-run for the sample countries and that the implicit restrictions associated with unit root tests prevented earlier studies from finding evidence in support of PPP theory.The views expressed in this paper are those of the authors only. They do not reflect the views of the World Bank.     

Estimating the speed of adjustment of European banking efficiency under a quadratic loss function

This paper investigates the speed of adjustment of cost efficiency to equilibrium level in the European banking industry. Our analysis provides for the first time insights into the process of convergence across European banking markets as measured by the speed of adjustment of cost efficiency. In particular, we employ a quadratic loss function specification based on forward-looking rational expectations to model the underlying dynamics of efficiency scores in the banking industry of the EU-15 region over the period 1998–2005. Results show that there is considerable variation in the speed of adjustment across banking systems, while over time it appears that continuing efforts to advance financial integration have led to some improvement in the speed of adjustment to the long-run equilibrium.     

How does your kindergarten classroom affect your earnings? Evidence from Project Star

In Project STAR, 11,571 students in Tennessee and their teachers were randomly assigned to classrooms within their schools from kindergarten to third grade. This article evaluates the long-term impacts of STAR by linking the experimental data to administrative records. We first demonstrate that kindergarten test scores are highly correlated with outcomes such as earnings at age 27, college attendance, home ownership, and retirement savings. We then document four sets of experimental impacts. First, students in small classes are significantly more likely to attend college and exhibit improvements on other outcomes. Class size does not have a significant effect on earnings at age 27, but this effect is imprecisely estimated. Second, students who had a more experienced teacher in kindergarten have higher earnings. Third, an analysis of variance reveals significant classroom effects on earnings. Students who were randomly assigned to higher quality classrooms in grades K–3—as measured by classmates' end-of-class test scores—have higher earnings, college attendance rates, and other outcomes. Finally, the effects of class quality fade out on test scores in later grades, but gains in noncognitive measures persist.     

Certification of corporate social responsibility activities in oligopolistic markets

Abstract We investigate the impact of alternative certifying institutions on firms’ incentives to engage in costly Corporate Social Responsibility (CSR) activities as well as their relative market and societal implications. We find that the CSR certification standard is the lowest under for‐profit private certifiers and the highest under a Non Governmental Organization (NGO), with the standard of a welfare‐maximizing public certifier lying in between. Yet, regarding industry output, this ranking is reversed. Certification of CSR activities is welfare enhancing for consumers and firms and should be encouraged. Finally, the market and societal outcomes of CSR certification depend crucially on whether certification takes place before or after firms’ CSR activities.     

Forecasting the price of gold

This article seeks to evaluate the appropriateness of a variety of existing forecasting techniques (17 methods) at providing accurate and statistically significant forecasts for gold price. We report the results from the nine most competitive techniques. Special consideration is given to the ability of these techniques to provide forecasts which outperforms the random walk (RW) as we noticed that certain multivariate models (which included prices of silver, platinum, palladium and rhodium, besides gold) were also unable to outperform the RW in this case. Interestingly, the results show that none of the forecasting techniques are able to outperform the RW at horizons of 1 and 9 steps ahead, and on average, the exponential smoothing model is seen providing the best forecasts in terms of the lowest root mean squared error over the 24-month forecasting horizons. Moreover, we find that the univariate models used in this article are able to outperform the Bayesian autoregression and Bayesian vector autoregressive models, with exponential smoothing reporting statistically significant results in comparison with the former models, and classical autoregressive and the vector autoregressive models in most cases.     

Labour Demand Adjustment: Does Foreign Ownership Matter?

This paper examines whether multinationals differ in their employment adjustment from domestic companies, using a panel of 5,544 Belgian firms observed between 1998 and 2005. More precisely, we estimate labour adjustment costs by worker and firm types. We propose a new flexible specification that takes into account the role of firm size in adjustment costs. Our results indicate that adjusting white‐collar employment is around half as costly for multinational firms (MNFs) as for domestic firms of the same size. The remaining differential in adjustment costs between MNFs and domestic firms might result, among other things, from multinationals' stronger bargaining power.     

Mean reversion and long memory in African stock market prices

We examine the behavior of stock market prices in several African countries by means of fractionally integrated techniques. In doing so, we can test for mean reversion in these markets. Our results can be summarized as follows: we cannot find evidence of mean reversion in any single market, and evidence of long memory returns (i.e., orders of integration above 1 in the logged stock prices) is obtained in the cases of Egypt and Nigeria, and, in a lesser extent in Tunisia, Morocco and Kenya. Permitting the existence of a structural change, the break dates take place in the earlier 2000s in the majority of the cases, and evidence of mean reversion seems to have taken place in the periods before the breaks in most of the countries. If we focus on the absolute and squared returns, evidence of long memory is obtained in Nigeria and Egypt. Thus, for these two countries, a long memory model incorporating positive fractional degrees of integration in both the level and the volatility process should be considered.