Does family ownership structure affect investment-cash flow sensitivity? Evidence from Italian SMEs

The aim of this article is to investigate whether family control, family management and family ownership concentration affect the investment-cash flow sensitivity of small- and medium-sized enterprises (SMEs). By analysing a sample of Italian SMEs for the period 2004–2013, I find that family-owned businesses are significantly associated with higher investment-cash flow dependence. This relation, however, is found to be driven by two distinct factors: (i) the presence of a highly concentrated family ownership (ownership concentration channel) and (ii) the active involvement of the family in the business (family management channel).     

Mean–variance dominant trading strategies

The paper examines the relative importance of ten anomaly-based trading strategies. We employ Mean Variance spanning methodologies in a classical unconditional setting and a novel conditional setting. Fixed-weight optimal portfolios stemming from the unconditional methodology indicate that all the strategies are needed to enhance the mean–variance tradeoff. This conclusion is completely reversed when we allow for time-varying portfolio weights as a nonlinear function of lagged economic indicators. The overall results suggest that diversified anomaly-based holdings are of limited benefit to sophisticated investors who employ dynamic trading strategies.     

What do women want? Female suffrage and the size of government

The economic literature has attributed part of the increase in government expenditure over the 20th century to female voting. This is puzzling, considering that the political science literature has documented that women tended to be more conservative than men over the first half of the 20th century. We argue that the current estimates of this relationship are afflicted by endogeneity bias. Using data for 46 countries and a novel set of instruments related to the diffusion of female suffrage across the globe, we find that, on average, the introduction of female suffrage did not increase either social expenditures or total government expenditure.     

Is the model “loans‐plus‐savings” better for microfinance in Eastern Europe and Central Asia? A propensity score matching comparison

Microfinance institutions are gradually evolving into multiservice organizations offering not only loans but also savings, and other financial and nonfinancial services. We contribute to the literature aimed at identifying how combining credit with savings affects outreach and sustainability in microfinance institutions (MFIs). We apply the propensity score matching method as well as its augmented dose–response version to compare the performance of loans‐plus‐savings MFIs with that of lending‐only in a sample of 710 observations from Eastern Europe and Central Asia. Owing to our unique capital structure data, we control for the use of subsidized capital, which related work ignores while existing evidence points to tradeoffs between subsidies and savings. We find that financial performance and breadth of outreach are positively associated with savings mobilization, while the evidence on depth of outreach points to a possible mission drift.     

Are In‐House and Outsourcing Innovation Strategies Correlated? Evidence from the European Agri‐Food Sector

We analyse European agri‐food firms’ choices about innovation in‐house or through outsourcing and provide empirical evidence about the correlation between these strategies. The relationship between the innovation strategy and firm‐, industry‐ and innovation‐specific characteristics is analysed through a bivariate probit model, which uses firm data from the EFIGE Bruegel‐UniCredit dataset. Transaction cost, resource base and knowledge governance arguments are used to explain the choice of innovation strategy. Our results show that the decisions to innovate in‐house or through outsourcing are independent from each other. In addition, we find that several organisational characteristics such as communication systems, human resource practices and specialisation are likely to influence both strategies. Conversely, organisational characteristics such as the allocation of authority and the business network do not seem relevant in determining the innovation strategies of the European agri‐food sector.     

A consistent test for nonlinear out of sample predictive accuracy

In this paper, we draw on both the consistent specification testing and the predictive ability testing literatures and propose an integrated conditional moment type predictive accuracy test that is similar in spirit to that developed by Bierens (J. Econometr. 20 (1982) 105; Econometrica 58 (1990) 1443) and Bierens and Ploberger (Econometrica 65 (1997) 1129). The test is consistent against generic nonlinear alternatives, and is designed for comparing nested models. One important feature of our approach is that the same loss function is used for in-sample estimation and out-of-sample prediction. In this way, we rule out the possibility that the null model can outperform the nesting generic alternative model. It turns out that the limiting distribution of the ICM type test statistic that we propose is a functional of a Gaussian process with a covariance kernel that reflects both the time series structure of the data as well as the contribution of parameter estimation error. As a consequence, critical values that are data dependent and cannot be directly tabulated. One approach in this case is to obtain critical value upper bounds using the approach of Bierens and Ploberger (Econometrica 65 (1997) 1129). Here, we establish the validity of a conditional p-value method for constructing critical values. The method is similar in spirit to that proposed by Hansen (Econometrica 64 (1996) 413) and Inoue (Econometric Theory 17 (2001) 156), although we additionally account for parameter estimation error. In a series of Monte Carlo experiments, the finite sample properties of three variants of the predictive accuracy test are examined. Our findings suggest that all three variants of the test have good finite sample properties when quadratic loss is specified, even for samples as small as 600 observations. However, non-quadratic loss functions such as linex loss require larger sample sizes (of 1000 observations or more) in order to ensure reasonable finite sample performance.