The role of social proximity in professional CEO appointments: Evidence from caste/religion‐based hiring of CEOs in India

Research Summary: The role of homophily in CEO appointments at the largest corporations is an important subject in corporate governance. This subject is particularly important in a country like India where a multitude of religions, castes, and communities form its social fabric. We test for the role of homophily in professional CEO appointments in India by empirically examining the preference for same caste/religion CEOs by the largest firms. Using a unique dataset, assembled by detailed identification of castes/religions from family names and counterfactuals obtained through the Coarsened Exact Matching technique, we find that caste/religion plays a crucial role in CEO selection as a source of information (positive discrimination). The evidence is not consistent with its use to pursue taste‐based preferences (negative discrimination). Managerial Summary: We test for the role of homophily in the appointments of CEOs in India by empirically examining the preference for same caste/religion CEOs by the largest firms. We find that caste/religion plays an important role in CEO selection, i.e., as a form of information or “positive discrimination.” The evidence is not consistent with its use to pursue taste‐based preferences or “negative discrimination.”     

Pricing Internal Trade to Get a Leg up on External Rivals

The pricing of transfers from parent to subsidiary is an oft-explored issue. Linking the cost of internal transfers with external market prices is one common approach, typically justified when the market for the good is perfectly competitive. This paper shows that imperfect competition may also justify market-based transfer prices. Concern that transfer price will deviate from marginal cost and thereby distort subsidiary choices can lead a parent to undertake actions to influence the market price of the upstream good. Such efforts can provide a desirable strategic posture in the upstream market.     

Modelling the National Greenhouse and Energy Reporting System's Energy Consumption Under‐Coverage

The new data source for the Australian Energy Statistics, the National Greenhouse and Energy Reporting System, does not require businesses using less than 200 terajoules to report their energy consumption. This results in a data gap in the total industry energy consumption. To estimate the gap, this study models business energy consumption using data from the Australian Bureau of Statistics' 2008–09 Energy, Water and Environment Survey and data from the 2008 to 2009 business activity statement unit record estimates. The article discusses the modelling approaches and methodological issues associated with the estimation of the National Greenhouse and Energy Reporting System's energy consumption under‐coverage. It provides estimation results and suggestions for future research, based on available data.

     

Increasing school quantity versus quality in kenya: impact on children from low-and high-income households

A common dilemma facing educational planners engaged in educational reform in developing countries is the allocation of sharply-reduced resources to the expansion of school facilities versus improvement of existing school facilities (say, by raising the teacher/pupil ratio). The empirical results presented in this paper for Kenya suggest that the two interventions have diametrically opposite effects on poor and nonpoor children. An expansion of school facilities increases the enrollment of children in the poorest expenditure quintiles but has no impact on the enrollment of children in the top quintiles. On the other hand, an improvement in the teacher-pupil ratio increases the enrollment rate of children in the top quintiles, and actually reduces the enrollment of children in the poor quintiles. These findings suggest that in situations where there is less than universal primary enrollment (UPE) and the government has set a time-bound goal of UPE, such as in Kenya, policies that serve to expand the number of school facilities may make more sense than interventions that increase the teacher-pupil ratio.     

Spontaneous visualization and concept evaluation

This paper proposes that customers often respond to brand extension concepts by visualizing the product. We call this process spontaneous visualization and suggest that it precedes concept evaluations. In two studies, we show that spontaneous visualization is enhanced by the fit between the parent brand and the extension category and by the ease with which the product category can be imagined. The appeal of the visualized image in turn determines whether visualization enhances or decreases concept evaluations. In addition, we find a stronger link between product evaluations and delayed choice when evaluations are based on visualization; evaluations based on visualization hence appear to be more “valid” in the sense of predicting subsequent behavior. Implications of these findings and ideas for future research are discussed.

Testing spatial regression models under nonregular conditions

In time series context, estimation and testing issues with autoregressive and moving average (ARMA) models are well understood. Similar issues in the context of spatial ARMA models for the disturbance of the regression, however, remain largely unexplored. In this paper, we discuss the problems of testing no spatial dependence in the disturbances against the alternative of spatial ARMA process incorporating the possible presence of spatial dependence in the dependent variable. The problems of conducting such a test are twofold. First, under the null hypothesis, the nuisance parameter is not identified, resulting in a singular information matrix (IM), which is a nonregular case in statistical inference. To take account of singular IM, we follow Davies (Biometrika 64(2):247–254, 1977; Biometrika 74(1):33–43, 1987) and propose a test procedure based on the supremum of the Rao score test statistic. Second, the possible presence of spatial lag dependence will have adverse effect on the performance of the test. Using the general test procedure of Bera and Yoon (Econom Theory 9:649–658, 1993) under local misspecification, we avoid the explicit estimation of the spatial autoregressive parameter. Thus our suggested tests are entirely based on ordinary least squares estimation. Tests suggested here can be viewed as a generalization of Anselin et al. (Reg Sci Urban Econ 26:77–104, 1996). We conduct Monte Carlo simulations to investigate the finite sample properties of the proposed tests. Simulation results show that our tests have good finite sample properties both in terms of size and power, compared to other tests in the literature. We also illustrate the applications of our tests through several data sets.     

Purchasing Power Parity and aggregation bias for a developing country: The case of Mexico

This paper investigates long-run Purchasing Power Parity (PPP) between the US and Mexico. We use a panel of disaggregated price data between the US and Mexico with a long time series to look at two types of aggregation bias. The first is examined in Imbs et al. — which we refer to as estimator aggregation bias — and the second is put forth by Broda and Weinstein — hereafter, data aggregation bias. The findings indicate substantial estimator aggregation bias and data aggregation bias. Although estimates using aggregate data and imposing homogeneous coefficients provide little evidence of PPP, findings with disaggregated data and heterogeneous coefficient estimators offer strong support. The results also suggest the presence of small-sample bias as examined in Chen and Engel, but with little effect on the qualitative results. Tradable goods and non-tradable goods show little distinction in convergence rates. Estimated half-lives are lower under flexible than fixed exchange rates and indicate rapid convergence during the Mexican peso crisis.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

Willingness to Pay to Reduce Mortality Risks: Evidence from a Three-Country Contingent Valuation Study

Valuing a change in the risk of death is a key input into the calculation of the benefits of environmental policies that save lives. Typically such risks are monetized using the Value of a Statistical Life (VSL). Since the majority of the lives saved by environmental policies are those of older persons, there has been much recent debate about whether the VSL should be lower for the elderly to reflect their fewer remaining life years. We conducted a contingent valuation survey in the UK, Italy and France designed to answer this question. The survey was administered in these three countries following a standardized protocol. Our results suggest that the VSL is €1.022 million or €2.264 million, depending on whether we use median or mean WTP. The VSL is not significantly lower for older persons, but is higher for persons who have been admitted to a hospital or emergency room for cardiovascular and respiratory problems. Income is positively and significantly associated with WTP. The income elasticities of the WTP increase gradually with income levels and are between 0.15 and 0.5 for current income levels in EU countries. We use the responses to the WTP questions to estimate the value of an extension in remaining life expectancy. The value of a loss of one year’s life expectancy is €54,000 or €163,000.