Fundraising and Optimal Policy Rules

This paper develops a simple spatial model of fundraising, in which charities select a target population to solicit donations. First, we show that in a competitive charity market without any intervention, the number of charities in the market and/or the overall net funds raised by charities may be suboptimal. Next, we analyze whether a social planner can prevent such shortcomings and show that a regulatory mechanism can be designed to achieve socially desirable outcomes. In contrast to the previous literature, our model does not necessarily produce monopoly as the optimal market structure. We show that if fixed costs associated with establishing charities are sufficiently low, then the optimal market structure is not a monopoly. Given the importance of the trade‐off between the volume and variety of charitable services, we argue that this result may be of particular interest to policy makers.     

Optimal policy with credibility concerns

This paper considers a reputation model of optimal taxation in which the public is unsure about the government type. A long-lived government can be trustworthy (meaning that it commits to its announced tax rate) or opportunistic (meaning that it retains the ability to change its tax rate after announcing it). Unlike in most prior studies, the committed strategy in this model is optimally chosen by the trustworthy type. We show that this change has significant consequences for the equilibrium dynamics. The optimal committed strategy is found to vary with the time preferences of the two government types, the initial reputation of the government, and the elasticity of household production. This formulation explains differences in policy responses across governments in the face of similar credibility problems.     

Collective Choice and Control Rights in Firms

Recent writers have asserted that firms controlled by workers are rare because workers have diverse preferences over firm policies, while investors all support wealth maximization. However, the source of the asymmetry between capital and labor remains unclear. We resolve this puzzle by arguing that because financial capital is exceptionally mobile, capital markets induce unanimity. The lower mobility of human capital implies that labor markets are monopolistically competitive and hence that unanimity cannot be expected in labor‐managed firms. Moreover, such firms are vulnerable to takeover by investors, while capital‐managed firms are substantially less vulnerable to takeover by workers.     

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.     

Urban Regulations and the Price of Land and Housing in Korea

South Korea is a remarkable macroeconomic success story, but it has performed relatively poorly in one respect: the provision of high quality housing at reasonable prices. This paper analyzes the Korean housing market and the market for related inputs, with special emphasis on the regulatory environment.     

Trans‐Tasman Transmission of Government Spending Shocks

This paper investigates the international transmission of fiscal shocks between two closely‐linked, open economies. We estimate impulse response functions using a semi‐structural vector auto regressive (VAR) model and quarterly data from Australia and New Zealand for the period 1973:3–2008:4. We compare our empirical results with impulse response functions from a calibrated two‐country international real business cycle model with habit formation and adjustment costs to investment. We show that a positive shock to Australian government consumption leads to an increase in Australian output initially and then to a decline in the medium term, while the New Zealand output is negatively affected both in the short and medium term. This result is in line with the recent literature that reports beggar‐thy‐neighbour effect of positive government spending shocks.     

A necessary and sufficient condition for the dominance of an improved family of estimators in linear regression models

This article presents a necessary and sufficient condition for the dominance, with respect to the risk under a general quadratic loss function, of the double k-class estimators (characterized by non-stochastic scalars) over the least squares estimator of coefficients in linear regression models.     

The impact of supplier development on buyer competitive advantage: A path analytic model

As manufacturing firms increasingly realize that supplier performance is crucial to their establishing and maintaining competitive advantage, supplier development has been a subject of considerable research in supply chain management. We develop and test a path model to explore how supplier development practices affect buyer-supplier performance from the buying firm's perspective in the context of Hong Kong's electronics industry. The results show that top management, supplier evaluation, and supplier strategic objectives are significant determinants of transaction-specific supplier development, and that buyers that have closer collaborative relationships with suppliers may strengthen their competitive advantage.     

Some economic effects of standards—Comment

The bulk of the literature on the empirical validation of the purchasing power parity (PPP) has been based on cointegration, although on rare occasions band-spectrum analysis has also been used. The former is tied down to the use of ‘notional’ time in the analysis of systems away from equilibrium, and the latter is circumscribed by the Slutzky-Yule effect. Both these drawbacks are sought to be remedied in the present paper, which seeks to bring to bear upon the PPP a new approach derived from the concept of a time-varying spectrum. Both absolute and relative versions of the doctrine are tested for ten advanced economies over the post-1973 period. Uniform rejection of the PPP occurs with the US $ as base, but with centring on the DM, the evidence seems to be supportive of the PPP (in its relative version) for three European countries.