Nonhomothetic Preferences and International Trade

This study examines whether nonhomothetic preferences underlie the “missing trade” problem associated with factor content of trade models. We first find that per capita income goes a long way in explaining differences in goods consumption across countries. We then find a striking correlation between the factor content of consumption and per capita income, and show that accounting for this is a key part of resolving the case of the missing trade. However, nonhomothetic preferences over broad categories of expenditure play only a small role in this phenomenon. Rather, we find that as income grows, spending is directed towards the relatively capital‐intensive version of a given good. Since recent research shows that capital intensity is correlated with quality ( Schott, 2004 ), our results suggest that within‐product quality differences are likely important for explaining the factor content of trade, whereas nonhomothetic preferences over broad categories of expenditure are much less so.     

The Earnings Effects of Multilateral Trade Liberalization: Implications for Poverty

Most researchers examining poverty and multilateral trade liberalizationhave had to examine average, or per capita effects, suggestingthat if per capita real income rises, poverty will fall. Thisinference can be misleading. Combining results from a new internationalcross-section consumption analysis with earnings data from householdsurveys, this article analyzes the implications of multilateraltrade liberalization for poverty in Indonesia. It finds thatthe aggregate reduction in Indonesia's national poverty headcountfollowing global trade liberalization masks a more complex setof impacts across groups. In the short run the poverty headcountrises slightly for self-employed agricultural households, asagricultural profits fail to keep up with increases in consumerprices. In the long run the poverty headcount falls for allearnings strata, as increased demand for unskilled workers liftsincomes for the formerly self-employed, some of whom move intothe wage labor market. A decomposition of the poverty changesin Indonesia associated with different countries' trade policiesfinds that reform in other countries leads to a reduction inpoverty in Indonesia but that liberalization of Indonesia'strade policies leads to an increase. The method used here canbe readily extended to any of the other 13 countries in thesample.     

Estimating the Impact of WTO and Domestic Reforms on the Indian Cotton and Textile Sectors: a General-Equilibrium Approach

The agreement to abolish the quotas on textiles and clothing introduced under the Multi‐fiber Arrangement (MFA) will create a new and much more competitive world market for India's exports of textiles and clothing. India's inefficient and costly policies, such as cotton export quotas, the hank yarn obligation, and the restrictive policies on foreign investment that have held back productivity in the Indian apparel sector, will impose serious costs. The authors consider the implications of reforming these policies in an open trading environment using a multiregion, applied general‐equilibrium model. They find that the costs of these policies to India increase substantially following abolition of the MFA; the benefits to India from domestic reforms are considerably enhanced when there is global free trade in textiles and apparel.     

Disaggregated data and trade policy analysis: The value of linking partial and general equilibrium models

Computable General Equilibrium (CGE) models are now routinely utilized for the evaluation of trade policy reforms, yet they are typically quite highly aggregated, which limits their usefulness to trade negotiators who are often interested in impacts at the tariff line. On the other hand, Partial Equilibrium (PE) models, which are typically used for analysis at disaggregate levels, deprive the researcher of the benefits of an economy-wide analysis, which is required to examine the overall impact of broad-based trade policy reforms. Therefore, a PE–GE, nested modeling framework has the prospect of offering an ideal tool for trade policy analysis. In this paper, we develop a PE model that captures international trade, domestic consumption and output, using Constant Elasticity of Transformation (CET) and Constant Elasticity of Substitution (CES) structures, market clearing conditions and price linkages, nested within the standard GTAP model. In particular, we extend the welfare decomposition of Huff and Hertel (2001) to this PE–GE model in order to contrast the sources of welfare gain in PE and GE analyses. To illustrate the usefulness of this model, we examine the contentious issue of tariff liberalization in the Indian auto sector, using PE, GE and PE–GE models. Both the PE and PE–GE models show that the imports of motorcycles and automobiles change drastically with both unilateral and bilateral tariff liberalization by India, but the PE model does a poor job predicting the overall size and price level in the industry, post-liberalization. On the other hand, the GE model overestimates substitution between regional suppliers due to “false competition” and underestimates the welfare gain, due to the problem of tariff averaging in the aggregated model. These findings are shown to be robust to wide variation in model parameters. We conclude that the linked model is superior to both the GE and PE counterparts.     

The Indirect Land Use Impacts of United States Biofuel Policies: The Importance of Acreage, Yield, and Bilateral Trade Responses

Recent analysis has highlighted agricultural land conversion as a significant debit in the greenhouse gas accounting of ethanol as an alternative fuel. A controversial element of this debate is the role of crop yield growth as a means of avoiding cropland conversion in the face of biofuels growth. We find that standard assumptions of yield response are unduly restrictive. Furthermore, we identify both the acreage response and bilateral trade specifications as critical considerations for predicting global land use change. Sensitivity analysis reveals that each of these contributes importantly to parametric uncertainty.     

Future developments in global livestock and grains markets: the impacts of livestock productivity convergence in Asia-Pacific

Increasing livestock product consumption in many Asian countries has been accompanied by growth in some countries' imports of feedgrains for their domestic livestock sectors. This contributes to debate over future levels of grain imports. Yet projections often pay little attention to developments in livestock production. The impacts of technological catch-up in livestock production on trade in livestock and grains products among countries in the Asia-Pacific region are assessed. Tests are conducted of the hypothesis that productivity levels in the Asia-Pacific region are converging. Projections of livestock productivity are made and incorporated in a modified GTAP model. The consequences for regional and global trade in livestock and grains products are explored.     

On the estimation of 'an implicitly additive demand system'

Motivated by a lack of Engel flexibility in commonly used demand systems, Rimmer and Powell developed a new demand system. This system, referred to AIDADS, is implicitly, directly additive, possesses marginal budget shares and thus Engel elasticities, that vary nonlinearly with expenditure such that predicted budget shares are restricted to the [0,1] interval. Due to these attractive Engel properties, AIDADS represents a significant contribution to the literature on demand analysis. This paper presents an alternative estimation procedure to the one used by Rimmer and Powell and examines its properties via a case study. The proposed approach avoids a linear approximation employed in Rimmer and Powell's estimation framework. Based on a small Monte Carlo study, it appears that the approach produces more accurate estimates of the parameters and Engel elasticities.