Challenges for regional science research: past and present

With regional science now into its seventh decade, it is timely to step back and look at what regional science is about, the past challenges it has faced, particularly its relevance, and to identify some of the challenges it has confronted in the past and at present. The paper demonstrates regional science research has had, and continues to have, policy relevance, as well as being relevant for business, and has addressed important issues. It provides an overview of recent commentaries on issues regional scientists might now be addressing.     

Examining the Draw of Diversity: How Diversity Climate Perceptions Affect Job‐Pursuit Intentions

Organizations must target talented applicants, who will often be demographically diverse, to attract the most competent and competitive workforce possible. Despite the bottom‐line implications of attracting the best and brightest, surprisingly little is known about how and why diversity recruitment strategies affect recruitment outcomes (e.g., job‐pursuit intentions). To gain insight into this question, we conducted an initial experimental study (N = 194) to test the premise that other‐group orientation moderates the relationship between perceived organizational value of diversity and job‐pursuit intentions. In a follow‐up experiment (N = 255), identity affirmation was examined as the mediating mechanism for the interaction observed in the first study. Mediated moderation analyses supported the proposed model. Collectively, the studies indicate that job seekers high in other‐group orientation are more intent on pursuing employment with organizations deemed to value diversity because they feel that their salient identities are likely to be affirmed. No such indirect effect is present for those lower in other‐group orientation.     

Negative equity and wages

We examine the relationship between housing equity and wage earnings using nine waves of the national American Housing Survey from 1985 to 2003. Employing a rich set of time and place controls, a synthetic mortgage instrumental variable strategy, and a first difference estimator we find that people underwater on their mortgage command a significantly lower wage than other homeowners. The finding survives a number of robustness checks for reverse causality and unobserved heterogeneity. We also explore other determinants of “house lock” including loss aversion, a low existing mortgage interest rate and property tax assessment caps, but do not find these factors mitigate the effect of negative equity on wages.     

A quasi-maximum likelihood method for estimating the parameters of multivariate diffusions

A quasi-maximum likelihood procedure for estimating the parameters of multi-dimensional diffusions is developed in which the transitional density is a multivariate Gaussian density with first and second moments approximating the true moments of the unknown density. For affine drift and diffusion functions, the moments are exactly those of the true transitional density and for nonlinear drift and diffusion functions the approximation is extremely good and is as effective as alternative methods based on likelihood approximations. The estimation procedure generalises to models with latent factors. A conditioning procedure is developed that allows parameter estimation in the absence of proxies.     

Limit theory for panel data models with cross sectional dependence and sequential exogeneity

The paper derives a general Central Limit Theorem (CLT) and asymptotic distributions for sample moments related to panel data models with large n$n$. The results allow for the data to be cross sectionally dependent, while at the same time allowing the regressors to be only sequentially rather than strictly exogenous. The setup is sufficiently general to accommodate situations where cross sectional dependence stems from spatial interactions and/or from the presence of common factors. The latter leads to the need for random norming. The limit theorem for sample moments is derived by showing that the moment conditions can be recast such that a martingale difference array central limit theorem can be applied. We prove such a central limit theorem by first extending results for stable convergence in Hall and Heyde (1980) to non-nested martingale arrays relevant for our applications. We illustrate our result by establishing a generalized estimation theory for GMM estimators of a fixed effect panel model without imposing i.i.d. or strict exogeneity conditions. We also discuss a class of Maximum Likelihood (ML) estimators that can be analyzed using our CLT.     

Efficient semiparametric estimation for endogenously stratified regression via smoothed likelihood

This paper presents efficient semiparametric estimators for endogenously stratified regression with two strata, in the case where the error distribution is unknown and the regressors are independent of the error term. The method is based on the use of a kernel-smoothed likelihood function which provides an explicit solution for the maximization problem for the unknown density function without losing information in the asymptotic limit. We consider both standard stratified sampling and variable probability sampling, and allow for the population shares of the strata to be either unknown or known a priori.     

A noncooperative view on two airport cost sharing rules

In this paper we model cost allocations for airport problems by using cooperative game and noncooperative game approaches. We relate the cost allocations given by the nucleolus and the egalitarian allocation to those given by the Nash outcomes of the noncooperative game.     

Defining efficient policies in a general equilibrium model: a multi-objective approach

Macroeconomic policy makers are typically concerned with several indicators of economic performance. We thus propose to tackle the design of macroeconomic policy using Multicriteria Decision Making (MCDM) techniques. More specifically, we employ Multi-objective Programming (MP) to seek so-called efficient policies. The MP approach is combined with a computable general equilibrium (CGE) model. We chose use of a CGE model since it has the dual advantage of being consistent with standard economic theory while allowing one to measure the effect(s) of a specific policy with real data. Applying the proposed methodology to Spain (via the 1995 Social Accounting Matrix) we first quantified the trade-offs between two specific policy objectives: growth and inflation, when designing fiscal policy. We then constructed a frontier of efficient policies involving real growth and inflation. In doing so, we found that policy in 1995 Spain displayed some degree of inefficiency with respect to these two policy objectives. We then offer two sets of policy recommendations that, ostensibly, could have helped Spain at the time. The first deals with efficiency independent of the importance given to both growth and inflation by policy makers (we label this set: general policy recommendations). A second set depends on which policy objective is seen as more important by policy makers: increasing growth or controlling inflation (we label this one: objective-specific recommendations).     

The efficiency of top agents: An analysis through service strategy in tennis

We consider the question whether top tennis players in a top tournament (Wimbledon) employ an optimal (efficient) service strategy. While we show that top players do not, in general, follow an optimal strategy, our principal result is that the estimated inefficiencies are not large: the inefficiency regarding winning a point on service is on average 1.1% for men and 2.0% for women, implying that–by adopting an efficient service strategy–players can (on average) increase the probability of winning a match by 2.4%-points for men and 3.2%-points for women. While the inefficiencies may seem small, the financial consequences for the efficient player at Wimbledon can be substantial: the expected paycheck could rise by 18.7% for men and even by 32.8% for women. We use these findings to shed some light on the question of whether economic agents are successful optimizers.