CCE estimation of factor‐augmented regression models with more factors than observables

This paper considers estimation of factor‐augmented panel data regression models. One of the most popular approaches towards this end is the common correlated effects (CCE) estimator of Pesaran (Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 2006, 74, 967–1012, 2006). For the pooled version of this estimator to be consistent, either the number of observables must be larger than the number of unobserved common factors, or the factor loadings must be distributed independently of each other. This is a problem in the typical application involving only a small number of regressors and/or correlated loadings. The current paper proposes a simple extension to the CCE procedure by which both requirements can be relaxed. The CCE approach is based on taking the cross‐section average of the observables as an estimator of the common factors. The idea put forth in the current paper is to consider not only the average but also other cross‐section combinations. Asymptotic properties of the resulting combination‐augmented CCE (C³E) estimator are provided and tested in small samples using both simulated and real data.     

A Factor Analytical Approach to Price Discovery

Existing econometric approaches for studying price discovery presume that the number of markets are small, and their properties become suspect when this restriction is not met. They also require making identifying restrictions and are in many cases not suitable for statistical inference. The current paper takes these shortcomings as a starting point to develop a factor analytical approach that makes use of the cross‐sectional variation of the data, yet is very user‐friendly in that it does not involve any identifying restrictions or obstacles to inference.     

Indirect Estimation of Semiparametric Binary Choice Models*

One of the most cited studies within the field of binary choice models is that of Klein and Spady (1993) , in which the authors propose a semiparametric estimator for use when the distribution of the error term is unknown. However, although theoretically appealing, the estimator has been found to be difficult to implement, and therefore not very attractive from an applied point of view. The current study offers an indirect inference‐based solution to this problem. The new estimator is not only simple with good small‐sample properties, but also consistent and asymptotically normal.     

Error Correction Testing in Panels with Common Stochastic Trends

This paper develops panel data tests for the null hypothesis of no error correction in a model with common stochastic trends. The asymptotic distributions of the new test statistics are derived and simulation results are provided to suggest that they perform well in small samples. Copyright © 2015 John Wiley & Sons, Ltd.     

Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi‐squared and Normal Limiting Distributions

In an influential paper Pesaran (‘A simple panel unit root test in presence of cross‐section dependence’, Journal of Applied Econometrics, Vol. 22, pp. 265–312, 2007) proposes two unit root tests for panels with a common factor structure. These are the CADF and CIPS test statistics, which are amongst the most popular test statistics in the literature. One feature of these statistics is that their limiting distributions are highly non‐standard, making for relatively complicated implementation. In this paper, we take this feature as our starting point to develop modified CADF and CIPS test statistics that support standard chi‐squared and normal inference.     

Socially Responsible Investment and Fiduciary Duty: Putting the Freshfields Report into Perspective

A critical issue for the future growth and impact of socially responsible investment (SRI) is whether institutional investors are legally permitted to engage in it – in particular whether it is compatible with the fiduciary duties of trustees. An ambitious report from the United Nations Environment Programme’s Finance Initiative (UNEP FI), commonly referred to as the ‘Freshfields report’, has recently given rise to considerable optimism on this issue among proponents of SRI. The present article puts the arguments of the Freshfields report into some further both empirical and critical perspective, however, and suggests that its findings do not call for very much optimism. The general argument is that while the understanding of fiduciary duty outlined by the Freshfields report seems to allow institutional investors to at least sometimes take some social or environmental considerations into account, the support it gives for SRI is notably contingent and, furthermore, it rules out exactly the kind of SRI which proponents of social responsibility and environmental sustainability should hold in highest regard – proactive cases and socially effective investment strategies. If SRI is to become an important force for corporate social responsibility through its adoption by institutional investors, then, it is suggested that legal reform is needed.     

Quality Meets Structure: Generalized Reciprocity and Firm‐Level Advantage in Strategic Networks

In this paper we extend previous research by combining network structural and network process approaches. Specifically, in a six‐year, three‐wave study of 41 firms in two strategic networks, we found that the interaction between generalized reciprocity among a focal firm's partners and network tie intensity and betweenness centrality improved firm performance. No influences were observed for the interaction involving degree centrality and generalized reciprocity. Our research suggests that managers in strategic networks may need to consider the balance between relationship‐extensive and relationship‐intensive strategies.     

Does the choice of estimator matter when forecasting returns?

While the literature concerned with the predictability of stock returns is huge, surprisingly little is known when it comes to role of the choice of estimator of the predictive regression. Ideally, the choice of estimator should be rooted in the salient features of the data. In case of predictive regressions of returns there are at least three such features; (i) returns are heteroskedastic, (ii) predictors are persistent, and (iii) regression errors are correlated with predictor innovations. In this paper we examine if the accounting of these features in the estimation process has any bearing on our ability to forecast future returns. The results suggest that it does.     

Panel cointegration and the monetary exchange rate model

This paper re-examines the validity of the monetary exchange rate model during the post-Bretton Woods era for 18 OECD countries. Our analysis simultaneously considers the presence of both cross-sectional dependence and multiple structural breaks, which have not received much attention in previous studies of the monetary model. The empirical results indicate that the monetary model emerges only when the presence of structural breaks and cross-country dependence has been taken into account. Evidence is also provided suggesting that the breaks in the monetary model can be derived from the underlying purchasing power parity relation.     

Struggling with social capital: Pakistani women micro entrepreneurs’ challenges in acquiring resources

Abstract

A crucial aspect of successful venturing is social capital. In contrast to traditional Western-oriented research where social capital is construed positively, we found that in the traditional, patriarchal society of Pakistan, social capital puts high restrictions on women micro entrepreneurs – where social capital prevents or slows venturing efforts. Results also show that although women do get some selective access to resources from family members, they are restricted by limited access to social capital outside of family members. As women entrepreneurs have the potential to play an important role in the development of any society, and especially so in developing countries, based on the insights derived from this qualitative study, we propose suggestions for further research on women micro entrepreneurs in non-Western contexts.