Dispensing with NAFTA Rules of Origin? Some Policy Options

The objective of this paper is to use a computable general equilibrium (CGE) methodology to estimate the economic gains, for both Canada and Mexico, of: (1) adopting a North American customs union (CU) that would also liberalise rules of origin (ROO); and (2) reviving the WTO scenario of multilateral free trade, thereby eliminating preferential commerce and thus the need for preferential ROO across free trade agreements (FTAs). Such a CGE methodology is useful as the approach permits computation of an efficiency (or ex post) cost of ROO that might, in some contexts, be more relevant than the existing ex ante indices of ROO restrictiveness, which are unable to account for the fact that the use of preferential access in an FTA (and the concomitant ROO compliance) is an option, not an obligation. The paper shows that the erosion of NAFTA tariff preferences at the end of the 1990s and early 2000s, which resulted from a different phasing of the NAFTA and Uruguay Round measures, has reduced the efficiency cost of NAFTA ROO, making these rules economically less relevant, especially for Canada, and therefore limiting somewhat the gains from liberalising them through a CU. Given this, the WTO scenario of multilateral free trade remains the approach that would deliver the largest economic gains in terms of GDP and welfare, while making preferential commerce and ROO obsolete.     

Ronald Coase's Method of Building More Realistic Models of Choice

This paper argues that Ronald Coase's major contributions to economic theory are best understood in terms of the distinct method he used to build more realistic models of choice. We call his method the benchmark-comparison method. It consists of building models of choice and then using them as benchmarks in the further investigation of economic interaction, either by comparing the benchmark models with observed interaction or by building additional models of choice, which may themselves function as benchmarks. The paper first describes the method then demonstrates how Coase used it in his two most famous papers. We go on to show how an understanding of the method confirms Coase's own statements about the continuity of his thought. Finally, we assess Coase's critique of Milton Friedman's positivist methodology and discuss a recent paper on Coase's methodology.     

Swedish technology teachers’ views on assessing student understandings of technological systems

Technology education is a new school subject in comparison with other subjects within the Swedish compulsory school system. Research in technology education shows that technology teachers lack experience of and support for assessment in comparison with the long-term experiences that other teachers use in their subjects. This becomes especially apparent when technology teachers assess students’ knowledge in and about technological systems. This study thematically analysed the assessment views of eleven technology teachers in a Swedish context. Through the use of in-depth semi-structured qualitative interviews, their elaborated thoughts on assessing knowledge about technological systems within the technology subject (for ages 13–16) were analysed. The aim was to describe the teachers’ assessment views in terms of types of knowledge, and essential knowledge in relation to a progression from basic to advanced understanding of technological systems. The results showed three main themes that the interviewed teachers said they consider when performing their assessment of technological systems; understanding (a) a system’s structure, (b) its relations outside the system boundary and (c) its historical context and technological change. Each theme included several underlying items that the teachers said they use in a progressive manner when they assess their students’ basic, intermediate and advanced level of understanding technological systems. In conclusion, the results suggest that the analysed themes can provide a basis for further discussion about defining a progression for assessing students’ understanding about technological systems. However, the findings also need to be examined critically as the interviewed teachers’ views on required assessment levels showed an imbalance; few students were said to reach beyond the basic level, but at the same time most assessment items lay on the intermediate and advanced levels.     

Asset allocation in markets with contagion: The interplay between volatilities,jump intensities,and correlations

We study the impact of financial contagion on the dynamic asset allocation problem of a CRRA investor facing an incomplete market with two risky assets. We apply a Markov chain regime-switching framework with state-dependent jump intensities, diffusion volatilities and diffusion correlations. The key model feature that a switch to the bad contagion regime is triggered by a loss in one of the risky assets allows for the implementation of a hedging demand against contagion risk. Moreover, a state-dependent diffusion correlation combined with heterogeneity in jump intensities and volatilities can, e.g., generate a flight to quality effect upon a systemic jump.     

What Causes Banking Crises? An Empirical Investigation for the World Economy

We add the Bernanke-Gertler-Gilchrist model to a world model consisting of the US, the Euro-zone and the Rest of the World in order to explore the causes of the banking crisis. We test the model against linear-detrended data and reestimate it by indirect inference; the resulting model passes the Wald test only on outputs in the two countries. We then extract the model’s implied residuals on unfiltered data to replicate how the model predicts the crisis. Banking shocks worsen the crisis but ‘traditional’ shocks explain the bulk of the crisis; the non-stationarity of the productivity shocks plays a key role. Crises occur when there is a ‘run’ of bad shocks; based on this sample Great Recessions occur on average once every quarter century. Financial shocks on their own, even when extreme, do not cause crises—provided the government acts swiftly to counteract such a shock as happened in this sample.     

An Empirical Analysis of Hedonic Regression and Grid-Adjustment Techniques in Real Estate Appraisal

Multiple regression analysis has become increasingly popular when appraising residential properties for tax purposes. Alternatively, most fee appraisers and real estate brokers use the traditional sales comparison approach. This study combines the two techniques and uses multiple regression to generate the adjustment coefficients used in the grid adjustment method. The study compares the combined grid-regression method with ordinary regression and defines the market conditions under which each method is likely to be more effective. The grid-regression method is found to be more accurate for relatively homogeneous housing markets, and the multiplicative percentage adjustment method (MPAM) the preferred approach.     

The impact of leniency and whistle-blowing programs on cartels

Antitrust authorities have set up leniency programs for cartel members that denounce their collusive agreements. These programs help prosecute participants and can thereby deter collusion. We compare the impact of reduced fines and positive rewards and argue that rewarding individuals, including firm employees, can deter collusion in a more effective way.We discuss possible adverse effects of whistle-blowing programs on firms' behavior, and particularly on turnover, incentives to innovate and cooperation. We also explore explanations for the puzzling fact that managers keep incriminating evidence and argue reward programs actually provide additional incentives for keeping such evidence.     

Data Aggregation Issues for Crop Yield Risk Analysis

With increased emphasis on risk management in agriculture and a lack of disaggregated or farm‐level yield time series, decision makers are often faced with having to make adjustments to temporal yield risk measures obtained from readily available but aggregated yield data. This paper provides some empirical evidence on what type of aggregation bias to expect when measuring temporal yield risk using yield observations averaged across a region relative to yield risk estimated from quarter‐section yield time series in wheat. This study highlights some of the challenges faced when estimating aggregation distortions in measuring yield risk defined by temporal variance, especially given the nature of the empirical data set used. Cluster analysis, visual examination of relative frequency distributions and mapping of yield risk clusters suggest that using a readily available, aggregate temporal yield risk measure has the tendency to underestimate yield risk observed at the quarter‐section level and that clear, geographic yield risk boundaries do not exist in municipalities or across larger areas in this study. Further research on crops more risky than wheat appears promising. Avec un plus grand intéret sur la gestion du risk dans l'agriculture et un manque de données détaillees ou bien de collections de séries temporelles sur les rendements, les décideurs sont souvent tenus d'apporter des correctifs aux measures du risk obtenues a partir des données de rendements qui sont disponibles. Cet artcle apporte une preuve empirique du type de biais lie a l'agrégation qui peut être présent dans le calcul du risk de rendement temporel obtenu a partir de rendements moyens de blé observés au niveau régional en comparaison du risk de rendement qui est estimé a partir de données basées sur des quart‐de‐sections. Cette étude met en exergue quelques uns des obstacles qui se présentent dans l'estimation de distosions liées a l'aggrégation dans le calcul du risk de rendement défini par la variance temporelle, speciallement étant donne la charactère empirique des données utilisées. L'analyse de groupe, l'examen visual de la distribution des fréquences relatives, et la cartographie de classes de risk de rendement suggèrent que l'utilisation de la measure du risk de rendement basée sur des données disponibles de risk aggrège temporel a tendence a sousestimer le risk de rendement observe au niveau des quart‐de‐sections et qu'il n'y a pas de frontières de risk de rendement certaines, géographiques qui existent entre les municipalités ou bien a travers les zones plus larges examinées dans cette etude.