SPATIAL PRICE EQUILIBRIUM AND THE TRANSPORT SECTOR: A TRADE‐CONSISTENT SCGE MODEL

In spatial computable general equilibrium models, interregional trade ought to play an important role in determining the spatial price equilibrium. Although the Armington assumption is commonly employed to describe cross‐hauling, many of the existing models do not explicitly consider the behavior of transport firms. This paper presents a framework that is compatible with the Armington assumption and explicitly considers transport activities. In the model, the trade coefficient takes the form of a potential function, and the equilibrium market price becomes similar to the price index in the context of new economic geography. The features of the model are investigated by using the minimal setting, which comprises two nontransport sectors and three regions. Because transport costs are given exogenously, the commodity prices are determined relative to them. The model can be described as a system of homogeneous equations, where an output in one region can arbitrarily be determined similarly as a price in the Walrasian equilibrium.     

Keynesian economics in the twenty-first century1

The Keynesian theory as set out by Keynes embodied an Achilles heel which he himself half understood but chose to ignore. It is also ignored by “post-Keynesians” and “New Keynesians”. The trouble is not in the labour market but in the goods market, where The General Theory, at least up to Chapter 19, definitely assumes perfect competition. But on that assumption the possibility of a Keynesian recession requires that employers behave with highly inconsistent expectations. Once, however, the assumption of perfect competition in the goods market is replaced by imperfect competition or oligopoly, the Keynesian theory re-emerges not only as robust, but also totally relevant to the 21st century.     

Home bias and U.S. imports of processed food products

This article estimates the degree of home bias for U.S. imported food products using an Armington model (Armington, 1969), and then assesses some of its determinants. Empirical results indicate that a very strong bias toward domestic products significantly limits foreign imports of the same type of products, and that without home bias, imports would increase several-fold. The degree of home bias is found to be higher in industries with co-location of raw agricultural production, delivery of mostly finished rather than intermediate food products, protection by high non-tariff barriers, and importation from neighboring countries (Mexico and Canada).     

Revealed preferences of individual players in sequential games

This paper studies rational choice behavior of a player in sequential games of perfect and complete information without an assumption that the other players who join the same games are rational. The model of individually rational choice is defined through a decomposition of the behavioral norm assumed in the subgame perfect equilibria, and we propose a set of axioms on collective choice behavior that characterize the individual rationality obtained as such. As the choice of subgame perfect equilibrium paths is a special case where all players involved in the choice environment are each individually rational, the paper offers testable characterizations of both individual rationality and collective rationality in sequential games.     

SPECIFYING AND TESTING OUTPUT AND PRICING STRUCTURES OF ALTERNATIVE MACROECONOMIC MODELS

ABSTRACT This paper puts forward a framework for choosing between alternative macroeconomic models. It is shown that a three-sector model with importables, exportables and non-traded goods can be specified so as to encompass both the Keynesian one-sector imperfect substitutes model and the two-sector dependent economy model with traded and non-traded goods as special cases. A two-stage test procedure is suggested in order to let the data determine which of these alternative models is the most appropriate. The use of this procedure is illustrated for the case of Argentina, Brazil and Mexico.     

Bayesian modification indices for IRT models

Bayesian modification indices are presented that provide information for the process of model evaluation and model modification. These indices can be used to investigate the improvement in a model if fixed parameters are re-specified as free parameters. The indices can be seen as a Bayesian analogue to the modification indices commonly used in a frequentist framework. The aim is to provide diagnostic information for multi-parameter models where the number of possible model violations and the related number of alternative models is too large to render estimation of each alternative practical. As an example, the method is applied to an item response theory (IRT) model, that is, to the two-parameter model. The method is used to investigate differential item functioning and violations of the assumption of local independence.     

固定交互效应面板截取模型的ECM算法

交互效应面板数据模型在社会经济问题的实证分析中具有很强的适用性,但现有研究主要集中于线性面板模型。本文将交互效应引入非线性的面板截取模型,并基于ECM算法,建立了有效估计量和识别程序。基于不同因子类型的仿真实验结果显示,ECM算法可以很好地识别面板截取样本中的非观测因子。ECM估计量具有良好的有限样本性质,与其他估计量相比具有更小的偏误和更快的收敛速度。尤其是当共同因子为低频平滑因子时,其表现最为理想。     

Treatment of Fixed Capital in the Sraffian Framework and in the Theory of Dynamic Input–Output Models

This paper is concerned with a comparison of the treatment of fixed capital in some multi-sectoral models. First, the dynamic Leontief model is investigated. Scrutiny shows that this model suffers from conceptual misconceptions which result from restrictive assumptions concerning full-capacity production and the transferability of capital in place, and from the definition of technical coefficients. Whereas most input–output (IO) models are based on the assumption of infinite life of fixed capital, the Sraffian concept is to treat used fixed capital items as ‘intermediate’ goods, which appear as joint products until they are worn out. To compare that approach with some IO models, an application of the concept of a ‘plant’ is provided. Finally, it is demonstrated that Leontief's model, as well as some recent generalizations, are special cases of a Sraffa-von Neumann type of model.     

Complexity results for the weak axiom of revealed preference for collective consumption models

The purpose of this paper is to establish the complexity of alternative versions of the weak axiom of revealed preference (warp) for collective consumption models. In contrast to the unitary consumption model, these collective models explicitly take the multi-member nature of the household into account. We consider the three collective settings that are most often considered in the literature. We start with the private setting in which all goods are privately consumed by the household members. Next, we consider the public setting in which all goods are publicly consumed inside the household. Finally, we also consider the general setting where no information on the (private or public) nature of goods consumed in the household is available. We prove that the collective version of warp is np-hard to test for both the private and public settings. Surprisingly, we also find for the general setting that the collective version of warp is easy to test for two-member households.     

The central assignment game and the assignment markets

Initially this paper considers an assignment game without side payments and proves the non- emptiness of the core of it. Next, a market model with invisible goods but without the transferable utility assumption is presented, and the non-emptiness of the core and the existence of a competitive equilibrium of the market model are shown, using the first result. Finally this paper presents a generalization of the market model and also shows the non-emptiness of the core and the existence of a competitive equilibrium using the results in the previous model.     

Chamberlinian Spatial Computable General Equilibrium Modelling: A Theoretical Framework

In this paper, a multi-regional multi-sectoral computable general equilibrium model is developed by bringing together different strands of theoretical reasoning. These are as follows: input–output analysis, gravity modelling, the theory of intra-industry trade and the theory of general equilibrium under conditions of monopolistic competition. The innovation in this approach is the assumption that, within each sector, a large number of different brands of output are produced. Households like diversity of consumption and diversity of inputs is a productive factor for firms. The number of brands produced in each sector and region is endogenous. A certain amount of fixed costs per brand imposes an upper bound on the number of available brands. Factor markets are perfectly competitive, while monopolistic competition prevails on goods markets. The equilibrium solution of the model closely resembles models which have been applied on an ad hoc basis in regional science before, but it is well founded in modern economic theory now. In particular, trade flows obey a gravity law in equilibrium.     

Modelling Clustered Heterogeneity: Fixed Effects,Random Effects and Mixtures

Although each statistical unit on which measurements are taken is unique, typically there is not enough information available to account totally for its uniqueness. Therefore, heterogeneity among units has to be limited by structural assumptions. One classical approach is to use random effects models, which assume that heterogeneity can be described by distributional assumptions. However, inference may depend on the assumed mixing distribution, and it is assumed that the random effects and the observed covariates are independent. An alternative considered here is fixed effect models, which let each unit has its own parameter. They are quite flexible but suffer from the large number of parameters. The structural assumption made here is that there are clusters of units that share the same effects. It is shown how clusters can be identified by tailored regularised estimators. Moreover, it is shown that the regularised estimates compete well with estimates for the random effects model, even if the latter is the data generating model. They dominate if clusters are present.     

Multi-store competition: Market segmentation or interlacing?

This paper develops a model for multi-store competition between firms. Using the fact that different firms have different outlets and produce horizontally differentiated goods, we obtain a pure strategy equilibrium where firms choose a different location for each outlet and firms' locations are interlaced. The location decisions of multi-store firms are completely independent of each other. Firms choose locations that minimize transportation costs of consumers. Moreover, generically, the subgame perfect equilibrium is unique and when the firms have an equal number of outlets, prices are independent of the number of outlets.     

(Non-)Existence of Equilibria in Multicommunity Models

This paper reconsiders equilibrium existence in models with migration and voting over local public goods. We show that under some straightforward assumptions on preferences and income distributions, the basic structure of multicommunity models (i.e., perfect mobility, majority rule, single crossing property) implies that no equilibrium with jurisdictions conducting different policies can exist. Stratification equilibria—with sorting of the population according to income classes—are therefore not as natural as is sometimes suggested. Mechanisms that can serve to support stratification (i.e., tight housing markets, returns to scale in the provision of publicly consumed goods) are discussed.     

A Critical Appraisal of the Current Use of Transaction Cost Explanations for Government Make-Or-Buy Choices: Towards a Contingent Theory and Forms of Tests

Abstract

This article aims at contributing to the extant literature on government make-or-buy choices building on transaction cost economics (TCE) by explicitly theorizing about transaction alignment and its relation to performance. It is argued that current theoretical and empirical models of government make-or-buy choices are not able to make predictions that corroborate theory. They are dependent upon the assumption of perfect competition that is ill-suited for the public sector setting. Instead, contingent models that take performance differences into account constitute a more valid model of TCE in this setting. In this article, theoretical models and empirical approaches for such a research agenda are developed.     

Spatial equilibrium with local public goods: Urban land rent,optimal city size and the Tiebout hypothesis

This paper extends the standard model of urban land rent to consider the spatial equilibrium conditions in a local public goods market as hypothesized by Charles M. Tiebout. An analysis is made of the spatial dimensions of public goods, their degree of ‘localness’ and their impact on land values. It is shown that the optimal population size of the community (Tiebout's sixth assumption) is simultaneously derived with the optimal supply of local public goods and local taxes. It is also shown that land rent is a poor output indicator of Tiebout's equilibrium conditions and that the capitalization assumption is not the appropriate test for his hypothesis.     

Equilibrium models with land: A criticism and an alternative

Models of economies either of urban areas or with local public goods often involve the use of a continuum of consumers along with the use of a commodity called land; each consumer generally owns a parcel of land of positive area. The purpose of the present study is to show that such models are internally inconsistent (independent of the other assumptions employed) in that only countably many consumers can own parcels of land of non-zero area if land lies in a Euclidean space. This result applies, in particular, to monocentric city models. Moreover, it is shown that the standard justification for the use of economies with an infinity of agents, that they approximate large economies with a finite number of consumers, does not necessarily apply in the case of economies with land and a continuum of consumers. A model where land is represented by subsets of $\text{R}$² is presented as an alternative.     

A Bayesian mixed logit–probit model for multinomial choice

In this paper, we introduce a new flexible mixed model for multinomial discrete choice where the key individual- and alternative-specific parameters of interest are allowed to follow an assumption-free nonparametric density specification, while other alternative-specific coefficients are assumed to be drawn from a multivariate Normal distribution, which eliminates the independence of irrelevant alternatives assumption at the individual level. A hierarchical specification of our model allows us to break down a complex data structure into a set of submodels with the desired features that are naturally assembled in the original system. We estimate the model, using a Bayesian Markov Chain Monte Carlo technique with a multivariate Dirichlet Process (DP) prior on the coefficients with nonparametrically estimated density. We employ a “latent class” sampling algorithm, which is applicable to a general class of models, including non-conjugate DP base priors. The model is applied to supermarket choices of a panel of Houston households whose shopping behavior was observed over a 24-month period in years 2004–2005. We estimate the nonparametric density of two key variables of interest: the price of a basket of goods based on scanner data, and driving distance to the supermarket based on their respective locations. Our semi-parametric approach allows us to identify a complex multi-modal preference distribution, which distinguishes between inframarginal consumers and consumers who strongly value either lower prices or shopping convenience.     

Identification and information in monotone binary models

This paper considers binary response models where errors are uncorrelated with a set of instrumental variables and are independent of a continuous regressor v$v$, conditional on all other variables. It is shown that these exclusion restrictions are not sufficient for identification and that additional identifying assumptions are needed. Such an assumption, introduced by Lewbel [Semiparametric qualitative response model estimation with unknown heteroskedasticity or instrumental variables. Journal of Econometrics 97, 145–177], is that the support of the continuous regressor is large, but we show that it significantly restricts the class of binary phenomena which can be analysed. We propose an alternative additional assumption under which β$\beta$ remains just identified and the estimation unchanged. This alternative assumption does not impose specific restrictions on the data, which broadens the scope of the estimation method in empirical work. The semiparametric efficiency bound of the model is also established and an existing estimator is shown to achieve that bound. The efficient estimator uses a plug-in density estimate. It is shown that plugging in the true density rather than an estimate is inefficient. Extensions to ordered choice models are provided.