‘DUAL’ GRAVITY: USING SPATIAL ECONOMETRICS TO CONTROL FOR MULTILATERAL RESISTANCE

We derive a quantity‐based structural gravity equation system in which both trade flows and error terms are cross‐sectionally correlated. This system can be estimated using techniques borrowed from the spatial econometrics literature. To illustrate our methodology, we apply it to a well‐known Canada–US trade dataset. We find that border effects between the USA and Canada are smaller than suggested by previous studies: about 7.5 for Canadian provinces and about 1.3 for US states. Hence controlling directly for cross‐sectional interdependence among both trade flows and error terms reduces measured border effects by capturing ‘multilateral resistance’. Copyright © 2010 John Wiley & Sons, Ltd.     

The relevance of shopper logistics for consumers of store-based retail formats

This paper discusses and empirically evaluates the relevance of shopping-related logistics for consumers of store-based retail formats. Based on a literature review a conceptual model was developed and subsequently tested using a survey of more than six hundred consumers in the grocery retail sector. Respondents were those primarily responsible for grocery shopping in their households located in a highly concentrated European urban retail market. Variance based structural equation modelling reveals that shopper logistics has a major impact on the convenience of store-based shopping and partly influence consumers' perceptions of shopping related costs. Nevertheless, shopper logistics does not affect consumer behaviour in terms of the share of visits of a store. These results are moderated by age, hedonic shopping orientation, shopping frequency, average spending per trip and store format preference. We conclude that shopper logistics is relevant for consumers of grocery stores but its relevance varies between different shopper groups.     

Monthly wood supply behavior of associated forest owners in Austria—Insights from the analysis of a micro-econometric panel

This paper examines the wood supply from non-industrial private forest owners in Austria. The main novelty of this study is threefold. First, the underlying dataset is based on monthly wood supply. This enables an analysis of seasonal supply behavior, which is found to be different in relation to the size of the forestland. Second, it represents an original study with a dataset from a Central European country whose forest owners are apparently much more fragmented than their Scandinavian or North American counterparts. And third, the study introduces a windfall variable that effectively corrects for a market-relevant storm event. With respect to methodology, a random effects Tobit model is applied. Additionally, a Chamberlain-like term is included in the regression to deal with a possible bias generated through the correlation of regressors and unobserved heterogeneity.     

On de-seasonalising adjusted-average formulae

The techniques of Borgan (1979) are extended to cover data with seasonal variations. Examples are given, and it is suggested that the formulae presented here give smoother results than those traditionally employed to deal with economic time series subject to seasonal variations.     

Going Alone: The Case for Relaxed Reciprocity in Freeing Trade

We examine the output elasticity of infrastructure for four South Asian countries viz., India, Pakistan, Bangladesh, and Sri Lanka using panel cointegration techniques for the period 1980–2005. In this context, we develop an index of infrastructure stocks and investigate the impact of infrastructure on output. The study finds a long-run equilibrium relationship between output and infrastructure along with other relevant variables, such as gross domestic capital formation (GDCF), labor force, international trade and human capital. The results reveal that GDCF, labor force, export and expenditure on human capital exhibit a positive contribution to output. More importantly, infrastructure development contributes significantly to output growth in South Asia. Further, the panel causality analysis shows that there is mutual feedback between total output and infrastructure development.     

Career concerns incentives: An experimental test

Holmström’s [Holmström, B., 1982/1999. Managerial incentive problems: a dynamic perspective. Review of Economic Studies 66, 169–182. Originally published in: Essays in Economics and Management in Honour of Lars Wahlbeck, Helsinki] career concerns model has become a workhorse for analyzing agency issues in many fields. The underlying signal jamming argument requires players to use information in a Bayesian way, which is difficult to directly test with field data: typically little is known about the information that individuals base their decisions on. Our laboratory experiment provides prima facie evidence: (i) the signal jamming mechanism successfully creates incentives on the labor supply side; (ii) decision errors take time to decrease; (iii) while subjects’ average beliefs are remarkably consistent with play, a mild winner’s curse arises on the labor demand side.     

Anmerkungen zum weltwirtschaftlichen denkansatz

Ohne Zusammenfassung