{"title":"Comparison of Welfare Gains in the Armington, Krugman and Melitz Models: Insights Based on a Structural Gravity Approach","authors":"Edward J. Balistreri, David G. Tarr","doi":"10.2139/ssrn.3311155","DOIUrl":null,"url":null,"abstract":"How large are the estimated gains from trade from a reduction in trade costs in the heterogeneous firms Melitz (M) model compared with the Armington (A) and Krugman (K) models? Surprisingly little is known beyond the one-sector model. This paper analyzes this question using a global trade model that contains ten regions and various numbers of sectors (1-10). Following Arkolakis et al. (2012), the analysis holds the local trade response constant across the model comparisons based on a structural gravity estimate. Various model features and scenarios are introduced that are important to real economies, almost none of which has been examined across the three market structures with a constant trade response. In response to global reductions in iceberg trade costs, in all the multi-sector models, the ranking of global welfare gains is Melitz > Krugman > Armington; and the Krugman model captures between 75 and 95 percent on the additional gains above the Armington model that are estimated by the Melitz model. However, for individual regions, there are numerous cases of reversed welfare rankings. i.e., Melitz Krugman > Armington. For individual regions, however, the welfare ranking of the Armington, Krugman and Melitz market structures is model, data, parameter and scenario dependent. The results highlight the need for data and structural considerations in policy analysis.","PeriodicalId":426783,"journal":{"name":"PSN: Trade Policy (Topic)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSN: Trade Policy (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3311155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
How large are the estimated gains from trade from a reduction in trade costs in the heterogeneous firms Melitz (M) model compared with the Armington (A) and Krugman (K) models? Surprisingly little is known beyond the one-sector model. This paper analyzes this question using a global trade model that contains ten regions and various numbers of sectors (1-10). Following Arkolakis et al. (2012), the analysis holds the local trade response constant across the model comparisons based on a structural gravity estimate. Various model features and scenarios are introduced that are important to real economies, almost none of which has been examined across the three market structures with a constant trade response. In response to global reductions in iceberg trade costs, in all the multi-sector models, the ranking of global welfare gains is Melitz > Krugman > Armington; and the Krugman model captures between 75 and 95 percent on the additional gains above the Armington model that are estimated by the Melitz model. However, for individual regions, there are numerous cases of reversed welfare rankings. i.e., Melitz Krugman > Armington. For individual regions, however, the welfare ranking of the Armington, Krugman and Melitz market structures is model, data, parameter and scenario dependent. The results highlight the need for data and structural considerations in policy analysis.