Abstract
The authours use information gathered from 122 studies on the effects of high school diplomas on wages in different countries worldwide to carry out a meta-analysis that shows high school diplomas have a statistically significant effect on wages of nearly 8%. This effect varies whether the country is away from the tropics or whether factors such as gender, race, and continent are taken into account. The results also reveal the existence of a publication bias that tends to increase the magnitude of the sheepskin effect. Nevertheless, when the former is factored into the analysis the latter remains statistically significant.
References
Arrow, K. J., (1973). The Theory of Discrimination, in Orley Ashenfelter and Albert Rees, eds., Discrimination in labor markets. Princeton NJ: Princeton University Press.Search in Google Scholar
Abreu, M., H. deGroot and R. Florax (2005). A meta-analysis of beta-convergence: The legendary two-percent. Journal of Economic Surveys, 19(3): 389–420. http://onlinelibrary.wiley.com/doi/10.1111/j.0950-0804.2005.00253.x/fullSearch in Google Scholar
Acemoglu, D., S. Johnson and J.A. Robinson (2000). The colonial origins of comparative development: An empirical investigation. The American Economic Review, 91(5): 1369–1401. https://www.aeaweb.org/articles.php?doi=10.1257/aer.91.5.136910.3386/w7771Search in Google Scholar
Becker, G,S. (1964) Human capital, 1st ed. New York: Columbia University Press for the National Bureau of Economic Research.Search in Google Scholar
Begg, C. and J. Berlin (1988). Publication bias: A problem in interpreting medical data. Journal of the Royal Statistical Society (Series A): 151(3): 419–463. http://www.jstor.org/stable/298299310.2307/2982993Search in Google Scholar
Belman, D. and J.S. Heywood (1991). Sheepskin effects in the returns to education: An examination of women and minorities, The Review of Economics and Statistics, 73(4): 720–725. http://www.jstor.org/stable/2109413Search in Google Scholar
Belman, D. and J.S. Heywood (1997). Sheepskin effects by cohort: Implications of job matching in a signaling model, Oxford Economic Papers, 49(4): 623–637. http://oep.oxfordjournals.org/content/49/4/623.abstractSearch in Google Scholar
Borenstein, M., L. Hedges, J. Higgins and H. Rothstein (2009). Computing effect sizes for meta-analysis. Chichester: John Wiley & Sons, Ltd.Search in Google Scholar
Card, D. (1994). Earnings, schooling and ability revised. NBER Working Paper 4832.ideas.repec.org/p/nbr/nberwo/4832.htmlSearch in Google Scholar
Card, D. (1999).. The Causal Effect of Eduction on Earnings. In O. Ashenfelter, and D.Card, eds., Handbook of Labor Economics, Vol 3A. Amsterdam: Elsevier Science, North-Holland. http://www.sciencedirect.com/science/article/pii/S1573446399030114Search in Google Scholar
Card, D. and A. Krueger (1995a). Time-series minimum wages studies: A meta-analysis. American Economic Review, 85(2): 238–243.ideas.repec.org/a/aea/aecrev/v85y1995i2p238-43.htmlSearch in Google Scholar
Card, D. and A. Krueger (1995b). Myth and measurement: The New Economics of the minimum wage. Princeton: Princeton University Press.Search in Google Scholar
Crespo, A and M. Reis (2009). Sheepskin effects and the relationship between earnings and education: Analyzing their evolution over time in Brazil. Revista Brasileira de Economia, 63(3): 209–231. http://www.scielo.br/scielo.php?pid=S0034-71402009000300002&script=sci_arttext10.1590/S0034-71402009000300002Search in Google Scholar
Colegrave, A.D. and M.J. Giles. (2008). School cost functions: A meta-regression analysis. Economics of Education Review, 27(6): 688–696. http://www.sciencedirect.com/science/article/pii/S027277570700121510.1016/j.econedurev.2007.05.006Search in Google Scholar
Dalhuisen, J., R. Florax, H. deGroot and P. Nijkamp (2003). Price and income elasticity’s of residential water demand: A meta-analysis. Land Economics, 79(2): 292–308.ideas.repec.org/a/uwp/landec/v79y2003i2p292-308.html10.2307/3146872Search in Google Scholar
DerSimonian, R. and N. Laird (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3): 177–188. http://www.ncbi.nlm.nih.gov/pubmed/380283310.1016/0197-2456(86)90046-2Search in Google Scholar
Egger, M., G. Davey Smith, M. Schneider and C. Minder (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315: 629–634. http://www.bmj.com/content/315/7109/62910.1136/bmj.315.7109.629Search in Google Scholar
Ferrer, A. and C. Riddell (2002). The role of credentials in the canadian labour market. Canadian Journal of Economics, 35(4): 879–905. http://www.jstor.org/stable/313184010.1111/0008-4085.00158Search in Google Scholar
Gallup, J, Sachs, J, and A. Mellinger (1998). Geography and Economic Development’, Proceedings of World Bank Annual Conference on Development Economics, World Bank: Washington10.3386/w6849Search in Google Scholar
Gibson, J. (2000). Sheepskin effects and the returns to education in New Zealand: Do they differ by ethnic groups? New Zealand Economic Papers, 34(2): 201–220. http://www.tandfonline.com/doi/pdf/10.1080/00779950009544323Search in Google Scholar
Habermalz, S. (2006). More detail on the pattern of returns to educational signals. Southern Economic Journal, 73(1): 125–135. http://www.jstor.org/stable/20111878Search in Google Scholar
Hall, R and C. Jones (1999). Why do some countries produce so much more output per worker than others? The Quarterly Journal of Economics, 114(1): 83–116. http://qje.oxfordjournals.org/content/114/1/83.abstractSearch in Google Scholar
Higgins, J., S. Thompson, J. Deeks and D. Altman (2003). Measuring inconsistencies in meta-analysis. BMJ, 327: 557–560. http://www.bmj.com/content/327/7414/55710.1136/bmj.327.7414.557Search in Google Scholar
Hungerford, T. and G. Solon (1987). Sheepskin effects in the returns to education. The Review of Economics and Statistics, 69(1): 175–177. http://www.jstor.org/stable/193791910.2307/1937919Search in Google Scholar
Iršová, Z., and Havránek, T. (2013). Determinants of horizontal spillovers from FDI: Evidence from a large meta-analysis. World Development, 42(February): 1–15. http://www.sciencedirect.com/science/article/pii/S0305750X1200190810.1016/j.worlddev.2012.07.001Search in Google Scholar
Iamsiraroj, S and H. Doucouliagos (2015). Does Growth Attract FDI? Economics: The Open-Access, Open-Assessment E-Journal, 9 (2015–19): 1–35. http://dx.doi.org/10.5018/economics-ejournal.ja.2015-1910.5018/economics-ejournal.ja.2015-19Search in Google Scholar
Jarrell, S. and T. Stanley (2004). Declining bias and gender wage discrimination? A metaregression analysis. Journal of Human Resources, 39(3): 828–838. http://www.jstor.org/stable/355899910.3368/jhr.XXXIX.3.828Search in Google Scholar
Jaeger, D.A. and M.E. Page (1996). Degrees matter: new evidence on sheepskin effects in the returns to education. Review of Economics and Statistics, 78(4): 733–740. http://www.jstor.org/stable/210996010.2307/2109960Search in Google Scholar
Kane, Thomas J. and C. E. Rouse, and D. Staiger (1999). Estimating Returns to Schooling When Schooling is Misreported. NBER Working Paper 7235. http://www.nber.org/papers/w723510.3386/w7235Search in Google Scholar
Macaskill, P., S. Walter and L. Irwig (2001). A comparison of methods to detect publication bias in meta-analysis. Statistics in Medicine, 20(4): 641–654. http://www.ncbi.nlm.nih.gov/pubmed/1122390510.1002/sim.698Search in Google Scholar
Nordhaus, W. (1994). Climate and economic development, Proceedings of the World Bank Annual Conference on Development Economics 1993, 1994: 355–376.10.1093/wber/7.suppl_1.355Search in Google Scholar
Mora, J.J. (2003). Screening and sheepskin effects in Colombia. Colombian Economic Journal, 1(1): 95–108. http://www.researchgate.net/publication/4806296_Sheepskin_Effects_and_Screening_in_ColombiaSearch in Google Scholar
Mora, J.J. and J. Muro (2008). Sheepskin effects by cohorts in Colombia. International Journal of Manpower, 29(2): 111–121. http://dx.doi.org/10.1108/0143772081087268610.1108/01437720810872686Search in Google Scholar
Münich, D., J. Svejnar and K. Terrell (2005). Returns to human capital under the communist wage grid and during the transition to a market economy. The Review of Economics and Statistics, 87(1): 100–123. http://www.mitpressjournals.org/doi/abs/10.1162/0034653053327559#.VjdQNUbCr7I10.1162/0034653053327559Search in Google Scholar
Park, J. (1999). Estimation of sheepskin effects using the old and new measures of educational attainment in the current population survey. Economics Letters, 62(2): 237–240. http://www.sciencedirect.com/science/article/pii/S016517659800226210.1016/S0165-1765(98)00226-2Search in Google Scholar
Pons, E. (2006). Diploma effects by gender in the Spanish labour market. Labour, 20(1): 139–157. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9914.2006.00292.x/abstract10.1111/j.1467-9914.2006.00292.xSearch in Google Scholar
Pons, E., and J.M. Blanco (2005). Sheepskin effects in the Spanish labour market: A public-private sector Analysis. Education Economics, 13(3): 331–347.ideas.repec.org/a/taf/edecon/v13y2005i3p331-347.html10.1080/09645290500073852Search in Google Scholar
Rosenthal, R. (1979). The ‘file drawer problem’ and tolerance for null results. Psychological Bulletin, 86(3): 638–641. http://psycnet.apa.org/psycinfo/1979-27602-00110.1037/0033-2909.86.3.638Search in Google Scholar
Spence, M. (1973). Job markets. Quarterly Journal of Economics, 87 (3): 355–374. http://qje.oxfordjournals.org/content/87/3/355.abstractSearch in Google Scholar
Spence, M. (2002). Signaling in retrospect and the informational structure of markets. American Economic Review, 92(3): 434–59. http://www.jstor.org/stable/308335010.1257/00028280260136200Search in Google Scholar
Stanley, T. (2005). Beyond publication bias. Journal of Economic Surveys, 19(3): 309–345. http://onlinelibrary.wiley.com/doi/10.1111/j.0950-0804.2005.00250.x/abstract10.1111/j.0950-0804.2005.00250.xSearch in Google Scholar
Stanley, T. (2008). Meta-regression methods for detecting and estimating empirical effects in the presence of publication selection. Oxford Bulletin of Economics and Statistics, 70(1): 103–127. http://onlinelibrary.wiley.com/enhanced/doi/10.1111/j.1468-0084.2007.00487.xSearch in Google Scholar
Stanley, T.D., H. Doucouliagos, M. Giles, J.H. Heckemeyer, R.J. Johnston, P. Laroche, J.P. Nelson, M. Paldam, J. Poot, G. Pugh, R.S. Rosenberger and K. Rost. (2013). Meta-analysis of economics research reporting guidelines. Journal of Economic Surveys, 27(2): 390–394. http://onlinelibrary.wiley.com/wol1/doi/10.1111/joes.12008/abstract10.1111/joes.12008Search in Google Scholar
Stanley, T.D. and H. Doucouliagos, (2010). Picture this: A simple graph that reveals much ado about research. Journal of Economic Surveys, 24(1): 170–191. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-6419.2009.00593.x/full10.1111/j.1467-6419.2009.00593.xSearch in Google Scholar
Sterling, T.D. (1959). Publication decisions and their possible effects on inferences drawn from tests of significance. Journal of the American Statistical Association, 54, 30–34. http://www.jstor.org/stable/2282137Search in Google Scholar
Sterne, J., D. Gavaghan, and M. Egger (2000). Publication and related bias in metaanalysis: Power of statistical tests and prevalence in the literature. Journal of Clinical Epidemiology, 53(11): 1119–1129. http://www.ncbi.nlm.nih.gov/pubmed/11106885Search in Google Scholar
Theil, H. and C. Dongling (1995). The equatorial Grand Canyon. De Economist, 143 (3): 317–327. http://link.springer.com/article/10.1007%2FBF01434011Search in Google Scholar
Trostel, P. and I. Walker (2004) Sheepskin effects in work behavior. Applied Economics. 36(17): 959–1966. http://dx.doi.org/10.1080/000368404200023605710.1080/0003684042000236057Search in Google Scholar
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