|
on Cultural Economics |
| By: | Melissa Boyle (Department of Economics, College of the Holy Cross); Victor Matheson (Department of Economics, College of the Holy Cross) |
| Abstract: | In a recent paper in the Journal of Black Studies, “Race and Art: Prices for African American Painters and Their Contemporaries,” economist Richard Agnello examines price differentials between paintings sold at auction from 1972 to 2004 for a set of 16 African American artists, and a group of white artists identified as similar contemporaries. In this short paper we examine Agnello’s control group of white artists and confirm that this is a non-randomly selected sample of artists that are, on average, quantifiably more famous than the black artists in Agnello’s treatment group. In light of this selection bias, we discuss the difficulty of disentangling the effects of race and fame on auction prices. |
| Keywords: | African American painters, economics of art, sample bias |
| JEL: | Z11 J15 J70 |
| Date: | 2009–05 |
| URL: | http://d.repec.org/n?u=RePEc:hcx:wpaper:0906&r=cul |
| By: | Augusto Rupérez-Micola; Arturo Bris; Albert Banal-Estañol |
| Abstract: | We study the influence of television translation techniques on the quality of the English spoken across the EU and OCDE. We identify a large positive effect for subtitled original version as opposed to dubbed television, which loosely corresponds to between four and twenty years of compulsory English education at school. We also show that the importance of subtitled television is robust to a wide array of specifications. We then find that subtitling and better English skills have an influence on high-tech exports, international student mobility, and other economic and social outcomes. |
| Keywords: | I21 i N00 |
| Date: | 2009–03 |
| URL: | http://d.repec.org/n?u=RePEc:upf:upfgen:1156&r=cul |
| By: | Jose Angelo Divino (Department of Economics Catholic University of Brasilia); Michael McAleer (Universidad Complutense de Madrid.Department of Quantitative Economics) |
| Abstract: | The Amazon rainforest is one of the world’s greatest natural wonders and holds great importance and significance for the world’s environmental balance. Around 60% of the Amazon rainforest is located in the Brazilian territory. The two biggest states of the Amazon region are Amazonas (the upper Amazon) and Pará (the lower Amazon), which together account for around 73% of the Brazilian Legal Amazon, and are the only states that are serviced by international airports in Brazil’s North region. The purpose of this paper is to model and forecast sustainable international tourism demand for the states of Amazonas, Pará, and the aggregate of the two states. By sustainable tourism is meant a distinctive type of tourism that has relatively low environmental and cultural impacts. Economic progress brought about by illegal wood extraction and commercial agriculture has destroyed large areas of the Amazon rainforest. The sustainable tourism industry has the potential to contribute to the economic development of the Amazon region without destroying the rainforest. The paper presents unit root tests for monthly and annual data, estimates alternative time series models and conditional volatility models of the shocks to international tourist arrivals, and provides forecasts for 2006 and 2007. |
| Date: | 2009 |
| URL: | http://d.repec.org/n?u=RePEc:ucm:doicae:0913&r=cul |
| By: | Salman, A. Khalik (Department of Social Sciences, Mid Sweden University); Arnesson, Leif (Department of Social Sciences, Mid Sweden University); Sörensson, Anna (Department of Social Sciences, Mid Sweden University); Shukur, Ghazi (Centre for Labour Market Policy Research (CAFO)) |
| Abstract: | This paper estimates the demand for tourism to Sweden and Norway for five countries: Denmark, the United Kingdom, Switzerland, Japan, and the United States. For each visiting country, and for Sweden and Norway, we specify separate equations by including relative information. We then estimate these equations using Zellner’s Iterative Seemingly Unrelated Regressions (ISUR). The benefit of this model is that the ISUR estimators utilize the information present in the error correlation of the cross regressions (or equations) and hence are more efficient than single equation estimation methods such as ordinary least squares. Monthly time series data from 1993:01 to 2006:12 are used. The results show that the consumer price index, some lagged dependent variables, and several monthly dummies(representing seasonal effects) have a significant impact on the number of visitors to the SW6 region in Sweden and Tröndelag in Norway. We also find that, in at least some cases, relative prices and exchange rates have a significant effect on international tourism demand. |
| Keywords: | Tourism demand; Significant factors; Iterative Seemingly Unrelated Regressions (ISUR) |
| JEL: | C32 |
| Date: | 2009–05–12 |
| URL: | http://d.repec.org/n?u=RePEc:hhs:vxcafo:2009_012&r=cul |