Statistical Properties of a Composite Index as Estimator of a Single Latent Variable

Journal of Quantitative Economics -     

Raising the Bar (3)

This editorial summarizes and comments on the papers published in issue 11(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper proposes spatial and a-spatial indicators to describe the networks of airline companies around the world. The second paper sets forth a two-regime gravity-type model with an endogenous threshold parameter to assess the effect of labour market conditions on interregional migration flows. The third paper utilizes micro-data to explain student migration flows to higher education institutions. The fourth paper is among the first to make use of simulation-based location quotients in a multiregional input–output model. Finally, the last paper provides a purely economic–theoretical model on cooperative limit pricing in the context of spatial competition.     

Raising the bar (4)

This editorial summarizes and comments on the papers published in issue 11(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with common factors and spatial dependence in the error term specification of a production function model. The second paper sets forth a New Economic Geography (NEG) model with production activities that vary in their complexity, so as to analyse the impact on specialization patterns across different regions. The third paper measures the efficiency of local public investments using a relatively unknown econometric technique in which the time span over which the variables in the regression equation are measured is increased by one time period every run. The fourth paper adopts a conditional quantile regression approach to determine the impact of people employed in informal jobs on the wage distribution in Colombia and five of its regions. Finally, the last paper proposes and tests two new Bayesian variable selection approaches for spatial econometric models.     

Raising the bar (6)

Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.     

The random expenditure function approach to welfare in RUM: The case of hazardous waste clean-up

This paper presents an application of the random expenditure function approach for welfare analysis in RUM with a non-linear income effect. The measures of expected compensating variation (CV) are first derived as special cases to apply to a two-option conjoint choice-based survey data aimed at deciphering homeowners’ willingness to pay for hazardous waste clean-up. A comparison of the expected CV with the CV based on the representative consumer approximation (CVr) reveals high degree of agreement between the estimates. Using the Diewert and Translog utility specifications the study finds that regardless of the methodology used, welfare estimates are quite sensitive to the functional forms.     

Raising the bar (5)

Raising the bar (5). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in this issue 12(1) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper examines the impact of the level of education on the decision to migrate and finds that it is approximately twice as large if both variables are modelled simultaneously. The second paper is one of the first papers to introduce a spatial component to models of international environmental agreements and to develop an exciting overlap with New Economic Geography. The third paper provides a tool, applied to Beijing, with which urban economic planners can investigate the role of variation and selection mechanisms in cluster development and identify possible paths of growth. The fourth paper contributes to the existing literature on retail geography by examining the role of consumption possibilities as an urban amenity. The fifth paper develops a Bayesian estimator of a linear regression model with spatial lags among the dependent variable, the explanatory variables and the disturbances. Finally, the sixth paper develops a semi-parametric generalized method of moments (GMM) estimator for a spatial autoregressive model with space-varying coefficients of the explanatory variables and a spatial autoregressive coefficient common to all units.     

Executive compensation and internal capital market efficiency

We document that chief executive officer (CEO) incentive compensation plays an important role in determining internal capital market (ICM) allocation efficiency. Our results suggest that CEO equity-based compensation can be effective in ameliorating inefficiencies in internal capital allocation decisions. We find that while stock grants play an important role in motivating CEOs to make more efficient internal capital allocation decisions, there is surprisingly no discernible influence of stock options. Our analysis supports the view that private benefits derived by managers are increasing in internal capital misallocation. We also document a strong positive link between CEO incentive compensation and excess value of diversified firms suggesting that the diversification discount can be ameliorated with CEO incentive compensation. The study contributes to the ICM literature and the literature on conglomerate diversification discount.     

REORGANIZATION AND FINANCIAL DISTRESS: AN EMPIRICAL INVESTIGATION

Prior studies on financial distress focus on the restructuring of one aspect of the firm. By examining various forms of restructuring, we provide empirical evidence that asset restructuring and governance restructuring play significant roles before bankruptcy filing. Our analysis shows that financial restructuring before bankruptcy is influenced by the holdout problem among creditor groups. Evidence suggests that the fraudulent conveyance provision does not pose a serious impediment to divestitures during the two years before bankruptcy. The evidence also indicates that Chapter 11 reorganization is lenient toward management. Although Chapter 11 allows the firm to breach burdensome executory contracts with employees, our findings suggest that union busting is not an important part of the reorganization process. Finally, we identify various financial characteristics to predict the different types of restructuring a firm may undertake.     

Productivity,Preferences and UIP Deviations in an Open Economy Business Cycle Model

We show that a flex-price two-sector open economy DSGE model can explain the poor degree of international risk sharing and exchange rate disconnect. We use a suite of model evaluation measures and examine the role of (1) traded and non-traded sectors; (2) financial market incompleteness; (3) preference shocks; (4) deviations from UIP condition for the exchange rates; and (5) creditor status in net foreign assets. We find that there is a good case for both traded and non-traded productivity shocks as well as UIP deviations in explaining the puzzles.