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Efficiency of Italian Early Child Care Provision: A Bootstrapped DEA Assessment

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Part of the New Frontiers in Regional Science: Asian Perspectives book series (NFRSASIPER,volume 37)

Abstract

Socio-demographic changes and financial restrictions in the context of the economic downturn have stressed the importance of increasing the efficiency in the provision of local public services. Among them, early child care is regarded as a crucial service for the positive effect on children scholastic achievements, female labor market participation as well as aggregate fertility rates. This chapter aims at analyzing the efficiency in the provision of early child care in Italy and studying the impact of the demand-side factors. We apply a two-stage semi-parametric approach to a large sample of Italian municipalities in the period 2001–2005. First, a bootstrapped Data Envelopment Analysis (DEA) is used to estimate the performance in the provision of early child care; then, a semi-parametric truncated estimation is employed to study whether municipalities react to demand-side pressures, such as women participation to labor market, by increasing the efficiency in the provision. DEA results show a remarkable heterogeneity in the provision of child care across Italian municipalities. We also find that demand-side pressure affects the efficiency.

Keywords

  • Local public services
  • Early child care
  • Efficiency
  • Two-stage
  • DEA

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Fig. 13.1

Source Our computation on data drawn from the CCC dataset

Notes

  1. 1.

    More details on the Lisbon Agenda can be found here: http://www.consilium.europa.eu/uedocs/cms_data/docs/pressdata/en/ec/00100-r1.en0.htm.

  2. 2.

    The reduction of intergovernmental transfers as a consequence of fiscal consolidation policies is not only an Italian fact. Indeed, recent studies on fiscal consolidation have underlined the contribution of intergovernmental transfer reductions to fiscal consolidation in different countries (OECD 2013; Vammalle and Hulbert 2013; European Commission 2014).

  3. 3.

    According to OECD, Denmark spent in 2007 for child care 0.8% of GDP, Finland 0.7%, UK 0.4%, France 0.4%, Italy 0.2%, Germany 0.1% (Chapple and Richardson 2009).

  4. 4.

    For a recent survey on local governments’ efficiency, see e.g. Narbón-Perpiñá and De Witte (2018).

  5. 5.

    On the contrary, there is a large literature on the effect of child care on several outcomes, such as fertility rates (Del Boca 2002; Bjorklund 2006), children’s school achievement (Carneiro and Heckman 2003; Heckman 2006; Havnes and Mogstad 2011a), upward intergenerational mobility (Chetty et al. 2014) and, especially, WLFP (Baker et al. 2008; Del Boca et al. 2008; Havnes and Mogstad 2011b; Brilli et al. 2016).

  6. 6.

    Nonparametric methods have been applied in many public sector activities, such as public library (De Witte and Geys 2013), judicial districts (Finocchiaro Castro and Guccio 2012), higher education (Johnes 2006; Guccio et al. 2016), healthcare (Cavalieri et al. 2018), care for the elderly sector (Borge and Haraldsvik 2009), heritage authorities (Finocchiaro Castro et al. 2011).

  7. 7.

    For further analytical details on DEA models, see e.g. Fried et al. (2008).

  8. 8.

    Simar and Wilson (2007, 2011) have shown that traditional estimators (e.g., OLS, Tobit) of the second-stage regression (2) yield to biased estimates due to serial correlation of efficiency scores, while their two-step bias-corrected semi-parametric procedure is the only method to consistently estimate the second-stage model (2).

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Guccio, C., Lisi, D., Martorana, M. (2019). Efficiency of Italian Early Child Care Provision: A Bootstrapped DEA Assessment. In: Kunizaki, M., Nakamura, K., Sugahara, K., Yanagihara, M. (eds) Advances in Local Public Economics . New Frontiers in Regional Science: Asian Perspectives, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-13-3107-7_13

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