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This chapter shows how a weighted average of a forward and reverse Jackknife IV estimator (JIVE) yields estimators that are robust against heteroscedasticity and many instruments. These estimators, called HFUL (Heteroscedasticity robust Fuller) and HLIM (Heteroskedasticity robust limited information maximum likelihood (LIML)) were introduced by Hausman, Newey, Woutersen, Chao, and Swanson (2012), but without derivation. Combining consistent estimators is a theme that is associated with Jerry Hausman and, therefore, we present this derivation in this volume. Additionally, and in order to further understand and interpret HFUL and HLIM in the context of jackknife type variance ratio estimators, we show that a new variant of HLIM, under specific grouped data settings with dummy instruments, simplifies to the Bekker and van der Ploeg (2005) MM (method of moments) estimator.

In a recent paper, Hausman, Newey, Woutersen, Chao, and Swanson (2012) propose a new estimator, HFUL (Heteroscedasticity robust Fuller), for the linear model with endogeneity. This estimator is consistent and asymptotically normally distributed in the many instruments and many weak instruments asymptotics. Moreover, this estimator has moments, just like the estimator by Fuller (1977). The purpose of this note is to discuss at greater length the existence of moments result given in Hausman et al. (2012). In particular, we intend to answer the following questions: Why does LIML not have moments? Why does the Fuller modification lead to estimators with moments? Is normality required for the Fuller estimator to have moments? Why do we need a condition such as Hausman et al. (2012), Assumption 9? Why do we have the adjustment formula?

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.

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.

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.

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.

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.

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.

This study examines how institutional quality influences variability in financial development among economies in Sub-Saharan Africa (SSA).

Empirical estimations verifying various relationships are performed using the limited information maximum likelihood (LIML) estimation technique.

The results suggest that institutional quality enhances the pace of financial development among economies in the sub-region all things being equal. In a further micro-level analysis where components of institutional quality index are examined separately, the study’s results suggest that effective governance, regulatory quality, rule of law and accountability tend to have a significant positive impact on financial sector development.

Findings of the study suggest that policies geared towards improving governance and regulatory institutions can augment development of the financial sector among economies in SSA; governments and policymakers are therefore encouraged to resource noted institutions to play effective roles for the development of the financial sector.

Compared to related studies, this study reorients existing paradigm, which emphasizes the role of governance and institutional variables in the economic growth discourse. The authors’ empirical inquiry rather focuses on how governance and institutional structures influence regional financial development dynamics. Specifically, this study differs from most macro-level studies found in literature because it examines the impact of hitherto unexamined governance and institutional variables on financial development among economies in SSA.

This study uses migrant household survey data from 2008 to 2009 to examine how parental migration decisions are associated with the nutritional status of children in rural and urban China. Results from instrumental variables regressions show a substantial adverse effect of children’s exposure to parental migration on height-for-age Z scores of left-behind children relative to children who migrate with their parents. Additional results from a standard Blinder–Oaxaca decomposition, a quantile decomposition, and a counterfactual distribution analysis all confirm that children who are left behind in rural villages – usually because of the oppressive hukou system – have poorer nutritional status than children who migrate with their parents, and the gaps are biggest at lower portions of the distribution.

This chapter studies the asymptotic properties of within-groups k-class estimators in a panel data model with weak instruments. Weak instruments are characterized by the coefficients of the instruments in the reduced form equation shrinking to zero at a rate proportional to nTδ, where n is the dimension of the cross-section and T is the dimension of the time series. Joint limits as (n,T)→∞ show that this within-group k-class estimator is consistent if 0≤δ<12 and inconsistent if 12≤δ<∞.

In this paper we provide estimates of the short-run elasticity of substitution between male and female workers, using data from Italian provinces for the period 1993–2006. Our identification strategy relies on a natural experiment. In 2000, the Italian Parliament passed a law to abolish compulsory military service. The reform was implemented through a gradual reduction in the number of draftees; compulsory drafting was eventually terminated in 2004. We use data on the (planned) maximum number of draftees at the national level (as stated in the annual budgetary law), interacted with sex-ratios at births at the provincial level, as instruments for (relative) female labor supply. Our results suggest that young males and females (who are those mainly affected by the reform) are imperfect substitutes, with an implied elasticity of substitution ranging between 1.0 and 1.4. Our results have important implications for the evaluation of policies aimed at increasing female labor market participation.

The purpose of this paper is to empirically examine the influence of women’s land ownership status on their inclusion in developing economies.

The study adopted a cross-sectional analysis. Data were taken from Global Findex data of World Bank and Indices of social development. Data were analysed using limited information maximum likelihood to establish the relationship between usage of basic financial services and women’s land ownership status variables. The study considers different demographic, social and economic factors as control variables. Socio-economic gender equality index and land ownership status of men are considered as instrumental variables in the estimations for controlling endogeneity problem.

The study proves that there is a significant influence of women’s land ownership status on their demand and usage of basic financial services. The results show that women who own land alone have a significant relationship for formal account ownership and formal savings but are deprived of formal and informal credit. The results find that women are more likely to avail of formal credit when they are backed by someone else in the family especially men. Irrespective of the wealth quintile to which women belong, they are deprived of credit if they do not own any land. The findings also show that women in higher wealth quintiles are more active in availing credit.

The study is limited to the extent of influence of women’s land ownership status on their demand for basic financial services.

The study recommends appropriate economic and financial policies to encourage women to own, possess and use their land for personal as well as entrepreneurial activities. The study also suggests for policies to encourage women for joint ownership of land for better credit availability.

Formal institutions must be more favourable for women in providing credit facilities because women play an essential role in economic development in developing economies.

This study is the first of its type in providing empirical evidence that women’s land ownership status influences their demand for basic financial services in developing countries.

The paper is to explore crowdfunding success determinants from the reward menu design aspect, distinguishing from extant studies focusing on characteristics of project creators or crowdfunding projects and funding dynamics. Both the number of reward options and price differentiation of rewards are considered.

The authors use the quadratic model to identify a curvilinear relationship between the number of reward options and crowdfunding success, by running regressions on data collected from one of the most influential reward-based crowdfunding platforms in China. In addition, they explore the moderating effect of price differentiation on the curvilinear relationship.

The authors find an inverted U-shape relationship between the number of reward options and the optimal number of options is around 10. In addition, they find that the curvilinear relationship is moderated by reward price differentiation.

This paper has managerial implications for crowdfunding project creators and platform managers. To achieve better crowdfunding outcomes, a proper number of reward options with diversified reward prices should be provided.

The paper contributes to the literatures in antecedents of crowdfunding success from reward menu design aspect based on theories in investment and purchasing decision making. It is different from existing studies focusing on the characteristics of project creators and crowdfunding projects or funding dynamics. It also parallels retirement contribution plan design studies by exploring the reward menu design in the crowdfunding context.

The study aims to examine the importance of access to finance in firm innovation by using firm-level data from the World Bank enterprise survey (WBES) on selected African countries.

This study utilises firm-level data from the WBES database and computes aggregate innovation index by using multiple correspondent analysis. The authors then apply instrumental variable models (to control for possible endogeneity between innovation and finance) to assess the link between finance and innovation.

The research finds that finance in the form of overdraft overwhelmingly drives innovation in all selected countries – Cameroon, Kenya, Morocco, Nigeria and South Africa. Trade credit enhances innovation among firms in Nigeria, South Africa and Cameroon, while asset finance drives innovation amongst firms in Cameroon, Nigeria and South Africa.

Policy incentives such as tax breaks could be put in place for financial intermediaries that have shown proof of extending loans to financially constraint firms to enable them to innovate. Furthermore, different financial institutions such as microfinance institutions can be supported to increase credit to enterprises. Partnerships with organisations willing to fund firms and support start-ups should be encouraged. One of such support mechanisms could be specialised schemes such as a credit guarantee scheme to encourage and secure lending to enterprises to promote innovation.

This paper provides empirical insights into how finance enhances innovation in African enterprises. It also shows how different finance structures (overdraft, asset finance and trade credit) affect firm innovation in different African countries.