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Labor market conditions and self-employment: A Denmark-Spain comparison

Carrasco, Raquel,Ejrnæs, Mette

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Carrasco, Raquel; Ejrnæs, Mette Article Labor market conditions and self-employment: A Denmark-Spain comparison IZA Journal of Labor Policy Provided in Cooperation with: IZA – Institute of Labor Economics Suggested Citation: Carrasco, Raquel; Ejrnæs, Mette (2012) : Labor market conditions and selfemployment: A Denmark-Spain comparison, IZA Journal of Labor Policy, ISSN 2193-9004, Springer, Heidelberg, Vol. 1, pp. 1-16, https://doi.org/10.1186/2193-9004-1-13 This Version is available at: https://hdl.handle.net/10419/92348 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. 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If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. http://creativecommons.org/licenses/by/2.0/ Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 http://www.izajolp.com/content/1/1/13 ORIGINAL ARTICLE Open Access Labor market conditions and self-employment: a Denmark-Spain comparison Raquel Carrasco1,2* and Mette Ejrnæs1,2 *Correspondence: [email protected] 1Universidad Carlos III de Madrid, Leganés, Madrid, Spain 2University of Copenhagen, Copenhagen, Denmark Abstract Among the OECD countries, Spain faces one of the highest rates of self-employment and Denmark one of the lowest, being the difference specially relevant among women. These two countries present important differences in their labor market conditions in terms of labor market flexibility, generosity of the unemployment benefits system, child care policies, and barriers to start and operate a business. In this paper we analyze if the different institutional environment and employment conditions in both countries can help to interpret the different incidence of self-employment rates. The study is carried out for men and women separately using a strictly comparable panel data set. The results indicate that in Spain self-employment seems to offer individuals who normally are considered as marginalized in the labor market a beneficial alternative to wage employment, while this pattern is not so clear in Denmark. Specifically, in Spain those individuals in the bottom part of the wage distribution and non-employees, particularly unemployed without unemployment benefits and mothers with small children, start more often their own business than in Denmark. Jel codes: E64, J18, J38, J58, J24, J44, J62 Keywords: Self-employment, Labor transitions, Employment conditions 1 Introduction During the 1990s, self-employment grew faster than civilian employment as a whole in most OECD countries.1Among self-employed, females represent one of the fastest growing segments. This increased tendency for people in industrialized countries to be self-employed has created an academic and political interest in the factors that influence individuals to become self-employed. This interest is also fuelled by the commonly held view that entrepreneurship is a source of economic growth. Nevertheless, the incidence of self-employment is far from uniform among the OECD countries. In particular, Spain and Denmark represent countries with one of the highest and the lowest rates of self-employment. According to OECD data, by 2010 selfemployment represented 17% of total employment in Spain, while in Denmark the self-employment rate was 11.7%. Furthermore, there is a considerable difference between Spain and Denmark in the fraction of female self-employment: in 2010 the fraction of women in self-employment was 12.40% in Spain and 5.50% in Denmark. © 2012 Carrasco and Ejrnæs; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 2 of 16 http://www.izajolp.com/content/1/1/13 In this paper we compare these two labor markets and analyze the role of the employment conditions in the decision of entering into self-employment for men and women separately.2In particular, we exploit the differences in the labor market environment between the two countries to provide evidence about whether more obstacles for an individual to enter regular wage labor market leads her to become self-employed with a greater probability. We make a deeper investigation of some of the issues raised by Blanchflower (2000) who analyzes the relationship between the self-employment rate and the unemployment rate for the OECD countries. We provide some further insight on certain aspects of the labor market environment such as the labor market flexibility, the generosity of the unemployment benefit system, the conditions to start and operate a business, and child care policies. This latter aspect is specially relevant for women. In the study of women’s labor force participation, one of the most consistent findings is the negative effect of the presence of young children on the probability of participation. However, the simple choice between being employed and not being employed may mask important aspects of the decision regarding participation. A more enlightening approach could be to consider employment options that could lessen the constraints that child care needs place on the mother’s employment. Among these employment choices, we could consider self-employment.3Given that the institutional conditions in terms of access and cost of child care are markedly different in Denmark and Spain, we investigate the extent to which self-employment is used in both countries as a way of obtaining more flexibility in order to combine family and working life. The dynamic aspects of self-employment are the focus of our research.4To this end, we use six waves from a strictly comparable micro data set for Denmark and Spain, The European Community Household Panel (ECHP). These data allow us to observe transitions into self-employment, and not only the stock of self-employed individuals. As far as the empirical strategy is concerned, we offer evidence on the characteristics of the self-employed in both countries and estimate reduced form parametric transition probabilities from employment and non-employment to self-employment, for men and women separately. Our results indicate that being disadvantaged on the labor market (measured in a number of ways) has a greater effect on the probability of becoming self-employed in Spain than in Denmark. Specifically, in Spain, individuals in the bottom part of the wage distribution start more often their own business. Moreover, the entrance form nonemployment is considerably higher for Spanish than for Danish workers, specially if they do not receive unemployment benefits and if they are mothers with small children. Finally, we do not find strong evidence that the lack of relatively cheap child care in Spain put some extra incentives on mothers with small children to start as self-employed, since we only find evidence in favor of this hypothesis for women coming from non-employment but not for those coming from wage-employment. The paper is organized as follows. Section 2 describes the underlying theoretical framework and relationships to be studied. The relevant features of the Danish and Spanish labor markets are described in Section 3 and the data set is described in Section 4. In Section 5 we present the estimation strategy and discuss the empirical results. The final section summarizes and concludes. Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 3 of 16 http://www.izajolp.com/content/1/1/13 2 Conceptual framework Our underlying theoretical approach is based on the comparative advantage framework used in Evans and Jovanovic (1989), Evans and Leighton (1989) and Taylor (1999), among others. The individual will switch from employment or non-employment (unemployment and out of labor force)5to self-employment if the expected value of self-employment exceeds the expected value of the other alternative. From previous studies we know that, in addition to personal characteristics and business cycle conditions, other factors, like barriers in the wage sector and institutional factors, contribute to explain selfemployment growth. As Blanchflower (2000) recognizes, there has been relatively little work on how institutional factors influence self-employment.6In this paper, because of lack of regional disaggregation, these issues can be only examined indirectly by comparing the two economies. We discuss below some of the factors that affect self-employment decisions and that will be addressed in the empirical section. 2.1 Barriers in the wage sector The literature on the determinants of self-employment often uses the distinction between “push” and “pull” factors, where push factors are barriers in wage-employment and pull factors are conditions making self-employment more attractive. A number of empirical studies using micro data have identified these factors. Prominent candidates among the push factors are lack of job opportunities, unemployment, and discrimination (see. e.g. Light (1980), Devine (1994), Evans and Leighton (1989), Clark and Drinkwater (2000) and Moore and Mueller (2002)). Disadvantaged groups in the wage sector may use self-employment as a source of economic advancement. Inspired by the literature, we analyze this in a number of ways. Prior labor market status and the attachment to the labor force could be proxies for opportunities in the labor market. Examining transitions into self-employment from wage employment, and unemployment and out of the labor force enables us to assess whether non-employed individuals are proner to become self-employed than wage-workers are. Previous wage is also used to analyze whether selfemployment offers better opportunities for individuals at the bottom or at the top of the wage distribution. 2.2 Unemployment insurance system Concerning the factors that influence the transition from unemployment to selfemployment, one important variable is whether the unemployed worker receives unemployment benefits or not. Standard search theory predicts a disincentive effects of benefits. Since benefits are the main source of income when unemployed, when they are exhausted, search intensity rises and the reservation wage falls, so that the opportunity cost of search decreases, thereby leading to an increase in the probability of leaving unemployment.7In this paper we focus on the effect of receiving benefits on the transition from unemployment to self-employment versus the transition to paid employment. 2.3 Gender and flexible work schedule Gender differences in self-employment are also well documented in the literature. Personal characteristics such as family size, marital status, and the presence and ages of children play a different role for women than they do for men. Boden (1996) and Wellington (2006) find that women with young children or family responsibilities are Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 4 of 16 http://www.izajolp.com/content/1/1/13 more likely to become self-employed and Lombard (2001) and Hughes (2003) show that flexibility and work and family balance are important reasons for women for becoming self-employed. Bonet et al. (2012) find that women with a temporary contract are more likely to enter into self-employment upon motherhood than those with a permanent contract, and interpret this result as evidence that temporary contracts offer higher difficulty to balance work and family. In this paper we try to examine to what extent the possibility of better handle family responsibilities and career affects the entry into self-employment for women with children. Nonetheless, this role for female self-employment could be compensated by the existence of child care policies (see Connelly 1992). This would imply that institutions and family friendly policies are likely to intertwine in the individuals’ labor market decisions.8 2.4 Assets The literature has also looked at the impact of wealth and capital income on the entry into self-employment. The fact that high capital income usually increases the likelihood of becoming self-employed is taken as evidence for the existence of liquidity constraints (see e.g. Evans and Leighton (1989), Blanchflower and Oswald (1998), and Dunn and Holtz-Eakin (2000)). The underlying idea is that lack of capital should prevent some individuals from entering into self-employment. However, this is not the only explanation which is consistent with the fact that high capital income increases the likelihood of becoming self-employed. An alternative explanation is that agents are risk averse and that the income as self-employed is more uncertain. In this case, high capital income will make the risk associated with working as self-employed less important. This means that the likelihood for being self-employed could increase with a non-regular income, even in the absence of a liquidity constraint. In this paper we use household capital income to capture the effect of assets. 3 The Danish and Spanish labor markets 3.1 Some institutional differences In this section we describe some differences between Denmark and Spain in relation to the regulation of the labor market and that are candidates to explain the differences in the evolution of the self-employment rates in both countries. 3.1.1 Labor market flexibility The Danish and Spanish labor markets represent two very different labor markets. The Danish one is often characterized as an classical example of the “Flexicurity model”,9 where there are low cost of hiring and firing but also a security system that insures individuals a fairly generous compensation when been unemployed. On the other hand, the Spanish labor market has more rigidities, with a high degree of employment protection.10 This is achieved by high firing costs, although several reforms have significantly relaxed some restrictions. The most significant change in this regard was the introduction in 1984 of new fixed-term contracts with lower dismissal costs than the permanent ones. 3.1.2 Unemployment insurance system In Denmark in the 1990s, the public support incentive structure has been classified as being too generous by numerous OECD reports.11 To be entitled to unemployment Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 5 of 16 http://www.izajolp.com/content/1/1/13 benefit, the requirement is, besides the membership of an unemployment fund, at least six months of work within the last three years and availability to take on a job. The maximum duration of unemployment benefit was (most of the period) of five years12 with a replacement rate of 90% subject to a ceiling. In Spain the unemployment insurance system is less generous. Since 1992 the requirement is twelve months of contributions over the past six years. In 1992, the replacement ratio was reduced from 80% of the previous wage during the first six months to 70% in months 1 −6 and to 60% afterwards. It is subject to a floor of 75% of the minimum wage and to a ceiling depending on the family responsibilities. The duration of the unemployment benefit is equal to one third of tenure (from 1 year), subject to a maximum of two years.13 3.1.3 Child care In terms of maternity leave policies and supply of child care there are also pronounced differences between Spain and Denmark. In Denmark in the 1990s, paid maternity leave was 6 months in connection with the birth and in the period 1994-2001 parents could take an additional 24 weeks at a lower compensation rate.14 However, these rules did not applied to self-employed women, which made it much more costly for them to go on maternity leave. For Spain the maternity leave is 16 weeks. The mother has to take at least 6 and the rest can be taken by the father. The compensation rate is equal to the 100% of the pension rights. For the self-employed, the rules are the same as for employees and the compensation is also the 100% of the pension rights which varies depending on their contributions to the Social Security. With regards to child care usage, Denmark and Spain present very different behavior. In Denmark the child care is subsidized by the state and it is very frequently used, e.g. in 1996, 50% of children aged 0-2 and 85% of all children aged 3-5 were using a nursery school. Although this number has been steadily increasing during the last 15 years, the usage of child care has traditionally been high (in 1980 it was 50%). In Spain the usage of child care is less common than in other European countries. A distinguishing feature that characterizes the Spanish child care policies is that most of them are programs for children aged three or over. In particular, in 1990 the government implemented a reform which led to the introduction of subsidized child care for all 3-year olds.15 In contrast, the percentage of Spanish children aged two or under cared for in public or private centers is one of the lowest in the European Union (8.7%) in the years under study. 3.1.4 Barriers to start and operate a business Denmark and Spain present differences in terms of the barriers to becoming selfemployed and running business. The Doing Business World Bank Data (2012) provides objective measures of business regulations and their enforcement across 185 economies. Each economy is ranked according to indicators measuring the procedures, time, and costs necessary to register and operate a firm. According to this ranking Denmark is in the 5th position, while Spain is in the 44th. This means that the regulatory environment is more conductive to starting and operating a business in Denmark than in Spain. Moreover, the OECD indicators of Product Market Regulation also shows a similar picture. These indicators measure the degree to which policies promote or inhibit competition. Specifically, according to there indicators such as state control, barriers to entrepreneurship, and barrier to international trade and investment, Spain is among the Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 6 of 16 http://www.izajolp.com/content/1/1/13 “relatively restrictive” countries, while Denmark is among the “relatively liberal” countries (see Conway et al. (2005) for details). 3.2 Summary statistics for the labor markets Since early 1980s self-employment fell relative to overall employment in Denmark, while in Spain self-employment expanded faster that overall non-agricultural employment. In spite of these differences, the proportion of total self-employment in agriculture has declined dramatically in both countries between 1979 and 1995 (from 31.8% to 21.86% in Denmark and from 42.12% to 22% in Spain, according to OECD data). This evolution reflects the special characteristics of self-employment in agriculture, a sector in which employment in general is decreasing noticeably. To abstract from the effect of the decline in agricultural employment, we exclude this sector from our analysis. Table 1 shows some differences in the patterns according to sex. The level of nonagricultural self-employment is much lower in Denmark for both men and women. Moreover, Spain has had an increase in self-employment for both sexes. In Denmark the proportion of self-employed women is more or less constant along the period while the proportion of men has decreased. Concerning the unemployment rate, the Spanish labor market has displayed one of the highest unemployment rates in the OECD, with an average unemployment rate close to 20% since the mid-1980s, while Denmark faces one of the lowest (in some industries unemployment is below 4%). Women, both in Spain and Denmark, experience unemployment more often than men. However, Spanish women are much more exposed to unemployment than Danish women. Another characteristic of Spanish unemployment is long unemployment durations: the proportion of the unemployed who stay unemployed a year or more has followed an increasing pattern in Spain, while in Denmark the level of long-term unemployment has decreased during the 1990s. Other feature markedly different in the two countries is the labor force participation, which is higher in Denmark for men and, in particular, for women.16 Spanish female labor force participation rates have historically been among the lowest of all OECD countries.17 Table 1 Non-agricultural self-employment in Denmark and Spain (as a proportion of total employment) Denmark Spain Men Women Men Women Years 1979 9.96 3.55 17.08 12.54 1985 8.07 3.47 19.77 14.22 1986 8.14 3.62 19.40 14.45 1987 8.14 3.64 20.26 15.34 1988 8.19 3.71 19.75 14.71 1989 8.03 3.61 19.24 14.07 1990 7.79 3.55 19.04 13.28 1991 8.84 3.91 19.34 13.43 1992 - - 20.32 14.03 1993 8.85 4.02 20.89 14.45 1994 8.35 4.02 21.22 14.01 1995 7.94 3.78 20.86 14.56 Source: OECD Labor Force Statistics (various). Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 7 of 16 http://www.izajolp.com/content/1/1/13 However, women participation has increased significantly during the 1970s and the 1980s, specially among younger women. On the other hand, in Spain male participation has been declining considerably since the 1970s, as in many other European countries, while in Denmark there has been a less clear decrease. Finally, part-time employment is relatively more important in Denmark than in Spain. Part-time employment has stagnated on a high level in Denmark in the 1990s, particularly for women.18 The key issue concerning self-employment is that the high level of this form of employment could reduce the incentives to enter self-employment looking for more flexibility, while in Spain the lack of part-time jobs may push some women into selfemployment. In fact, the proportion of self-employment plus part-time employment in both countries are rather similar. 4 Data description The data we use come from the European Community Household Panel (ECHP), which is a panel of households in the European Union provided by Eurostat. We use six waves covering the period 1994-1999. Every year the selected households in each country are interviewed about issues relating to demographics, labor market, income and living conditions. One of the advantages of this sample is that the same questionnaire is used in all countries, which makes the information directly comparable. A second advantage is the longitudinal aspect of the data, which allows us to observe transitions into self-employment. Our sample includes individuals aged 20 to 59. We select the 20-59 age band because we can find different rules of behavior in the youngest and oldest individuals, and this can distort the results. We also exclude the agricultural sector from our sample. Self-employed workers are defined as those individuals who identify themselves as self-employed as their main activity (with or without employees). Unpaid family workers are not counted as self-employed. The explanatory variables used in the estimation can be classified into two groups: demographic variables relating to the individual, and economic variables relating to business cycle conditions. In the first group we include variables reflecting the family background and variables relating to the earnings and wealth of the individual. Business cycle effects are captured by including the unemployment rate by gender and age. Focusing our attention on those individuals working at the time of the interview, and discarding observations with missing data for any of the relevant variables, results in a sample of 14,544 observations for the whole period considered for Denmark, of which 51.2% are males, and 48.8% are females. For men, 6.8% are self-employed and the remaining 93.2% are wage-employed. For women, 3.7% are self-employed and 96.3% are in wage-employment. For Spain, we have a sample of 31,321 observations, of which 64.4% are males and 35.6% are females. For males, 20.1% are self-employed, while for women 13.3% are self-employed. A comparison between the data and the aggregated statistics shows similar self employment rates for the different groups considered here. The variables are defined in Table 2 and descriptive statistics are presented in Tables 3 and 4. Self-employed workers are older on average than wage-employees and are also more likely to be married. For Denmark, self-employees are more likely to be skilled, while for Spain the percentage of skilled workers in self-employment is somewhat smaller than in wage-employment. Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 8 of 16 http://www.izajolp.com/content/1/1/13 Table 2 Variables’ definition Age Individual’s age, ranging from 20 to 59 Married Equal to 1 for cohabiting individuals Univ. education Equal to 1 for indiv. with university education Skilled Equal to 1 for skilled individuals Child 0-2 Equal to 1 for indiv. with children aged 0 to 2 Child 3-6 Equal to 1 for indiv. with children aged 3 to 6 Child 7-16 Equal to 1 for indiv. with children aged 7 to 16 Citizen Equal to 1 for indiv. with Danish/Spanish citizenship Health Self assessed health 1-5 (1 good and 5 bad) Relatives se Equal to 1 if the there are any SE in the household Work income Total labor income Capital income Total capital income Benefits Equal to 1 for indiv. receiving unempl. benefits NE Equal to 1 if the indiv. was either unemployed or out of the labor force and 0 if the indiv. was wage-employed WE Equal to 1 if the indiv. was employed and 0 if the indiv. was unemployed or out of the labor force Working hours Number of working hours Job tenure Number of years in present job, 0 if not employed Private sector Equal to 1 if working in the private sector Hotel/Transport Equal to 1 if working in the Hotel or Transportation sector Finance Equal to 1 if working in the Finance or Business sector Wholesale Equal to 1 for working in the Wholesale or Construct. sector Services Equal to 1 for working in the Service sector Unemployment Rate Age (five years band) and gender specific national unemployment rate (source: ILO) Concerning labor market behavior, men and women tend to work more hours in selfemployment than in wage-employment in both countries. Moreover, the data suggest a link between work schedules and self-employment for mothers with small children in Spain: the average number of working hours of Spanish self-employed women is about 44 per week, whereas the corresponding figures for women without and with small children is 45 and 40 respectively. Furthermore, these differences are not observed neither for Spanish women in wage-employment nor for Danish women or men. Regarding capital income, self-employed workers in Denmark and self-employed men in Spain have on average more capital income than employees, while for self-employed women in Spain is the opposite. Spanish men in self-employment work about 20% more than Spanish men in wage employment but earn about 15% less. Table 5 offers additional information about the type of individuals who become selfemployed. Looking at those individuals who are not employed in a given period and who actually find a job the subsequent year, we find that those who declare to had bad or very bad chances of getting a job in Spain are more likely to become self-employed. For Denmark the results are the opposite. 5 Estimation results To model the transitions into self-employment, we use discrete choice models. Since the scope of this paper is to model the choice of occupation, rather than the decision Carrasco and Ejrnæs IZA Journal of Labor Policy 2012, 1:13 Page 15 of 16 http://www.izajolp.com/content/1/1/13 18According to the Spanish Statistical Institute and the Statistiske efterretninger, the percentage of the labor force working part time is about 10% for Danish males and 20% for Danish females, while for Spain these figures are around 2% and 12% respectively for the years under study. 19We would rather focus on transitions for employees and non-employees individuals separately. However, due to the small sample size in some cases, we have just conditioned on previous state and interacted it with some of the explanatory variables. For the same reason, our estimates do not control for time invariant unobserved heterogeneity between individuals. 20Notice that the small sample size for certain type of transitions could affect the precision of the estimates. We have performed a similar analysis using a larger data set (0.5% of register data for Denmark and the Continuous Family Expenditure Survey for Spain) and the results are very similar to those found with the ECHP. 21The number of observations does not exactly coincide with the transitions shown in Table6becauseofsomemissingobservationsforsomeexplanatoryvariables. Competing interests The IZA Journal of Labor Policy is committed to the IZA Guiding Principles of Research Integrity. Both authors declare that they observed these principles. Acknowledgements We are grateful to Manuel Arellano, J. 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