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Purpose -- The purpose of this paper is to compare and contrast the nature of undeclared work in South East Europe and the rest of the European Union and in doing so, to evaluate critically the validity of depicting the character of undeclared work as being the same everywhere. Design/methodology/approach -- A 2007 survey of undeclared work is reported, conducted in 27 European Union (EU) member states involving 26,659 face-to-face interviews. This paper focuses on the results of the 2,432 interviews conducted in five South East European countries, namely Bulgaria, Cyprus, Greece, Romania and Slovenia. Findings -- In South Eastern Europe, more undeclared work is found to be waged employment and conducted by marginalised population groups out of necessity compared with other EU regions. Nevertheless, and similar to other EU regions, most undeclared work is conducted on an own-account basis, rather than as waged employment, for close social relations, rather than anonymous employers, and out of choice rather than necessity, although different mixtures prevail in different places and populations both within South Eastern Europe and across the EU as a whole. Research limitations/implications - This recognition of the multifarious work relations and motives involved in undeclared work, and different mixtures in varying populations, displays the need to move beyond treating undeclared work as everywhere the same and towards nuanced spatially sensitive representations. Practical implications -- Given the proportion of undeclared work conducted on an own-account basis and for closer social relations, this paper reveals that if South East European governments continue to seek its eradication, they will deter with one hand precisely the entrepreneurship and mutual aid that with another they are seeking to nurture. Originality/value -- This is the first evaluation of undeclared work in South East Europe and the EU. [ABSTRACT FROM AUTHOR]

Purpose -- This paper uses a unique survey of Roma and non-Roma in South Eastern Europe with the aim of evaluating competing explanations for the poor performance of Roma in the labour market. Design/methodology/approach -- Following a descriptive analysis, econometric models are employed to identify the determinants of educational achievement, employment and wages for Roma and non-Roma. Limited information maximum likelihood (LIML) methods are employed to control for endogenous schooling and two sources of sample selection bias in the estimates. Non-linear and linear decomposition techniques are applied in order to identify the extent of discrimination. Findings -- The key results are that: the employment returns to education are lower for Roma than for non-Roma whilst the wage returns are broadly similar for the two groups; the similar wage gains translate into a smaller absolute wage gain for Roma than for non-Roma given their lower average wages; the marginal absolute gains from education for Roma are only a little over one-third of the marginal absolute gains to education for majority populations; and, there is evidence to support the idea that a substantial part of the differential in labour market outcomes is due to discrimination. Research limitations/implications -- The survey data employed do not include information on hours worked. In order to partially control for this, the analysis of wages is limited to employee wages excluding the self-employed. Practical implications -- Explanations of why Roma fare so badly tend to fall into one of two camps: the "low education" and the "discrimination" schools. The analysis suggests that both of these explanations have some basis in fact. Moreover, a direct implication of the lower absolute returns to education accruing to Roma is that their lower educational participation is, at least in part, due to rational economic calculus. Consequently, policy needs to address both low educational participation and labour market discrimination contemporaneously. Originality/value -- This is the first paper to attempt to econometrically distinguish between discrimination and educational explanations of Roma disadvantage in the labour market in Central and Eastern Europe. The survey data employed are unique and appropriate for the task. Unusually for analyses dealing with returns to education, the LIML econometric approach employed controls for both endogenous schooling and two sources of sample selection bias. [ABSTRACT FROM AUTHOR]