Publication:
How Does Trade Respond to Anticipated Tariff Changes? Evidence from NAFTA

Loading...
Thumbnail Image
Files in English
English PDF (852.47 KB)
544 downloads
English Text (143.66 KB)
62 downloads
Published
2021-04
ISSN
Date
2021-05-03
Editor(s)
Abstract
Firms anticipate upcoming tariff changes by shifting their purchases to periods with lower costs. This paper shows that such anticipatory dynamics overstate the trade elasticity. Standard identification of the trade response to trade cost changes uses tariff variation from free trade agreements and assumes that trade flows equal their consumption. However, free trade agreements eliminate tariffs gradually through announced phaseouts. This allows firms to delay their purchases until tariff cuts are effective, while consuming their inventories. Indeed, during the North American Free Trade Agreement’s staged tariff reductions, imports experienced sizable anticipatory slumps followed by libseralization bumps. To study the behavior of consumed imports, a measure is constructed that uses inventory-to-sales ratios to smooth the trade flows. Its application to the data yields that the annual trade-flow elasticity is 56 percent larger than the trade-consumption response and that the ratio of the long- to short-run elasticity increases from 2.3 with trade flows to 3.4 with consumed imports. The measure is validated through Monte Carlo simulations of an (s,S) ordering model that reproduces the observed trade pattern.
Link to Data Set
Citation
Khan, Shafaat Yar; Khederlarian, Armen. 2021. How Does Trade Respond to Anticipated Tariff Changes? Evidence from NAFTA. Policy Research Working Paper;No. 9646. © World Bank. http://hdl.handle.net/10986/35534 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    The Lasting Effects of Working while in School
    (Washington, DC: World Bank, 2025-08-18) Ferrando, Mery; Katzkowicz, Noemi; Le Barbanchon, Thomas; Ubfal, Diego
    This paper provides the first experimental evidence on the long-term effects of work-study programs, leveraging a randomized lottery design from a national program in Uruguay. Participation leads to a persistent 11 percent increase in formal labor earnings, observable seven years after the program. Effects are stronger for youth who participate during pivotal educational transitions and are larger for vulnerable youth and men, while remaining positive for women and non-vulnerable youth. The program is highly cost-effective, with average impacts exceeding those of job training programs and comparable to early childhood investments.
  • Publication
    It’s Not (Just) the Tariffs: Rethinking Non-Tariff Measures in a Fragmented Global Economy
    (Washington, DC: World Bank, 2025-10-22) Taglioni, Daria; KEE, Hiau Looi
    As tariffs have declined, non-tariff measures (NTMs) have become central to trade policy, especially in high-income countries and regulated sectors like food and green technologies. Although NTMs may serve legitimate goals, they could also sort countries and firms into or out of markets based on compliance capacity and differences in product mix. Documenting recent advances in the estimation of ad valorem equivalents (AVEs), this paper uncovers new patterns of use and exposure of NTMs. High-income countries rely more heavily on NTMs relative to tariffs, while low- and middle-income countries face steeper AVEs on their exports. Firm-level evidence shows that NTMs disproportionately affect smaller firms, leading to market exit and concentration. Poorly designed NTMs can harm productivity and welfare, while coordinated, capacity-aware use can deliver inclusive outcomes. Policy design, transparency, and diagnostics must evolve to reflect the growing role—and risks—of NTMs in a fragmented global trade landscape.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Trade-Policy Dynamics
    (World Bank, Washington, DC, 2021-07) Alessandria, George; Khan, Shafaat Yar; Khederlarian, Armen; Ruhl, KimJ.; Steinberg, Joseph B.
    This paper studies the growth of Chinese imports into the United States from autarky during 1950–1970 to about 15 percent of overall imports in 2008, taking advantage of the rich heterogeneity in trade policy and trade growth across products during this period. Central to the analysis is an accounting for the dynamics of trade, trade policy, and trade-policy expectations. The analysis isolates the lagged effects of past reforms and the current effects of uncertainty about future reforms. It builds a multi-industry, heterogeneous-firm model with a dynamic export participation decision to estimate a path of trade-policy expectations. The findings show that being granted Normal Trade Relations (NTR) status in 1980 was largely a surprise and that, in the early stages, this reform had a high probability of being reversed. The likelihood of reversal dropped considerably during the mid-1980s, and, despite China’s accession to the World Trade Organization (WTO) in 2001, changed little throughout the late 1990s and early 2000s. Thus, although uncertainty depressed trade substantially following the 1980 liberalization, much of the trade growth that followed China’s WTO accession was a delayed response to previous reforms rather than a response to declining uncertainty.
  • Publication
    Inventories, Input Costs, and Productivity Gains from Trade Liberalizations
    (World Bank, Washington, DC, 2021-03) Khan, Shafaat Yar; Khederlarian, Armen
    Sourcing internationally entails additional costs due to larger per inventory holdings. When firms switch toward foreign sources, these unobserved costs increase. This paper revisits the effect of trade liberalization on firms’ productivity taking into account the inventory premium of importing and input cost heterogeneity. Through model simulations, the paper shows that in the presence of inventory holding costs, their omission in revenue-based productivity measures leads to a systematic overestimation of the elasticity of productivity to input tariffs. Controlling for the firm’s import intensity and inventory usage in the estimation of productivity corrects for the bias. The paper studies the relevance of this potential bias during India’s trade liberalization in the early 1990s. First, it documents that inventory holdings of intermediate goods increased significantly with import intensity and input tariffs. Second, it extends a standard productivity estimation procedure with a control function of the various firm-level input costs. The mismeasurement channel accounts for around 35 percent of the estimated productivity gains. Consistent with the gradual adjustment to the tariff reductions, the bias in the response of firm-level productivity is backloaded.
  • Publication
    Safeguards and Antidumping in Latin American Trade Liberalization : Fighting Fire with Fire
    (Washington, DC: World Bank and Palgrave Macmillan, 2006) Finger, J. Michael; Nogués, Julio J.; Finger, J. Michael; Nogués, Julio J.
    This book is a report on success-success in trade liberalization and in the removal of trade barriers so as to integrate Latin American economies into the international economy. More particularly, this book is about how several Latin American governments created and managed safeguards and antidumping mechanisms as part of this liberalization. The core of this book is a set of studies describing how seven Latin American countries-Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, and Peru-have used these trade instruments. Each country study was conducted by analysts from that country. Many of the analysts were high government officials during their country's liberalization, so they have hands-on experience with the construction and the management of these instruments.
  • Publication
    The Effects of NAFTA on Antidumping and Countervailing Duty Activity
    (Published by Oxford University Press on behalf of the World Bank, 2005-09) Blonigen, Bruce A.
    Treatment of unfair trade laws has become an important topic in negotiations on preferential trading areas. Recent preferential trading areas involving the United States (U.S.), one of the most significant users of these laws, have established special bi-national dispute settlement panels to arbitrate disagreements. Using a panel database of U.S. antidumping and countervailing duty activity from 1980 through 2000, the article examines whether the use of dispute settlement panels has reduced such activity between the United States and its North American Free Trade Agreement (NAFTA) partners. The analysis finds little evidence for any effect, calling into question the effectiveness of dispute settlement panels in reducing unfair trade law activity.
  • Publication
    Assessing the Adjustment Implications of Trade Policy Changes Using TRIST : Tariff Reform Impact Simulation Tool
    (2009-09-01) Saborowski, Christian; Brenton, Paul; Staritz, Cornelia; von Uexkull, Erik
    TRIST is a simple, easy to use tool to assess the adjustment implications of trade reform. It improves on existing tools. First, it is an improvement in terms of accuracy because projections are based on revenues actually collected at the tariff line level rather than simply applying statutory rates. Second, it is transparent and open; runs in Excel, with formulas and calculation steps visible to the user; and is open-source and users are free to change, extend, or improve according to their needs. Third, TRIST has greater policy relevance because it projects the impact of tariff reform on total fiscal revenue (including VAT and excise) and results are broken down to the product level so that sensitive products or sectors can be identified. And fourth, the tool is flexible and can incorporate tariff liberalization scenarios involving any group of trading partners and any schedules of products. This paper describes the TRIST tool and provides a range of examples that demonstrate the insights that the tool can provide to policy makers on the adjustment impacts of reducing tariffs.

Users also downloaded

Showing related downloaded files

  • Publication
    Global Economic Prospects, June 2025
    (Washington, DC: World Bank, 2025-06-10) World Bank
    The global economy is facing another substantial headwind, emanating largely from an increase in trade tensions and heightened global policy uncertainty. For emerging market and developing economies (EMDEs), the ability to boost job creation and reduce extreme poverty has declined. Key downside risks include a further escalation of trade barriers and continued policy uncertainty. These challenges are exacerbated by subdued foreign direct investment into EMDEs. Global cooperation is needed to restore a more stable international trade environment and scale up support for vulnerable countries grappling with conflict, debt burdens, and climate change. Domestic policy action is also critical to contain inflation risks and strengthen fiscal resilience. To accelerate job creation and long-term growth, structural reforms must focus on raising institutional quality, attracting private investment, and strengthening human capital and labor markets. Countries in fragile and conflict situations face daunting development challenges that will require tailored domestic policy reforms and well-coordinated multilateral support.
  • Publication
    Business Ready 2024
    (Washington, DC: World Bank, 2024-10-03) World Bank
    Business Ready (B-READY) is a new World Bank Group corporate flagship report that evaluates the business and investment climate worldwide. It replaces and improves upon the Doing Business project. B-READY provides a comprehensive data set and description of the factors that strengthen the private sector, not only by advancing the interests of individual firms but also by elevating the interests of workers, consumers, potential new enterprises, and the natural environment. This 2024 report introduces a new analytical framework that benchmarks economies based on three pillars: Regulatory Framework, Public Services, and Operational Efficiency. The analysis centers on 10 topics essential for private sector development that correspond to various stages of the life cycle of a firm. The report also offers insights into three cross-cutting themes that are relevant for modern economies: digital adoption, environmental sustainability, and gender. B-READY draws on a robust data collection process that includes specially tailored expert questionnaires and firm-level surveys. The 2024 report, which covers 50 economies, serves as the first in a series that will expand in geographical coverage and refine its methodology over time, supporting reform advocacy, policy guidance, and further analysis and research.
  • Publication
    The Container Port Performance Index 2023
    (Washington, DC: World Bank, 2024-07-18) World Bank
    The Container Port Performance Index (CPPI) measures the time container ships spend in port, making it an important point of reference for stakeholders in the global economy. These stakeholders include port authorities and operators, national governments, supranational organizations, development agencies, and other public and private players in trade and logistics. The index highlights where vessel time in container ports could be improved. Streamlining these processes would benefit all parties involved, including shipping lines, national governments, and consumers. This fourth edition of the CPPI relies on data from 405 container ports with at least 24 container ship port calls in the calendar year 2023. As in earlier editions of the CPPI, the ranking employs two different methodological approaches: an administrative (technical) approach and a statistical approach (using matrix factorization). Combining these two approaches ensures that the overall ranking of container ports reflects actual port performance as closely as possible while also being statistically robust. The CPPI methodology assesses the sequential steps of a container ship port call. ‘Total port hours’ refers to the total time elapsed from the moment a ship arrives at the port until the vessel leaves the berth after completing its cargo operations. The CPPI uses time as an indicator because time is very important to shipping lines, ports, and the entire logistics chain. However, time, as captured by the CPPI, is not the only way to measure port efficiency, so it does not tell the entire story of a port’s performance. Factors that can influence the time vessels spend in ports can be location-specific and under the port’s control (endogenous) or external and beyond the control of the port (exogenous). The CPPI measures time spent in container ports, strictly based on quantitative data only, which do not reveal the underlying factors or root causes of extended port times. A detailed port-specific diagnostic would be required to assess the contribution of underlying factors to the time a vessel spends in port. A very low ranking or a significant change in ranking may warrant special attention, for which the World Bank generally recommends a detailed diagnostic.
  • Publication
    Digital Progress and Trends Report 2023
    (Washington, DC: World Bank, 2024-03-05) World Bank
    Digitalization is the transformational opportunity of our time. The digital sector has become a powerhouse of innovation, economic growth, and job creation. Value added in the IT services sector grew at 8 percent annually during 2000–22, nearly twice as fast as the global economy. Employment growth in IT services reached 7 percent annually, six times higher than total employment growth. The diffusion and adoption of digital technologies are just as critical as their invention. Digital uptake has accelerated since the COVID-19 pandemic, with 1.5 billion new internet users added from 2018 to 2022. The share of firms investing in digital solutions around the world has more than doubled from 2020 to 2022. Low-income countries, vulnerable populations, and small firms, however, have been falling behind, while transformative digital innovations such as artificial intelligence (AI) have been accelerating in higher-income countries. Although more than 90 percent of the population in high-income countries was online in 2022, only one in four people in low-income countries used the internet, and the speed of their connection was typically only a small fraction of that in wealthier countries. As businesses in technologically advanced countries integrate generative AI into their products and services, less than half of the businesses in many low- and middle-income countries have an internet connection. The growing digital divide is exacerbating the poverty and productivity gaps between richer and poorer economies. The Digital Progress and Trends Report series will track global digitalization progress and highlight policy trends, debates, and implications for low- and middle-income countries. The series adds to the global efforts to study the progress and trends of digitalization in two main ways: · By compiling, curating, and analyzing data from diverse sources to present a comprehensive picture of digitalization in low- and middle-income countries, including in-depth analyses on understudied topics. · By developing insights on policy opportunities, challenges, and debates and reflecting the perspectives of various stakeholders and the World Bank’s operational experiences. This report, the first in the series, aims to inform evidence-based policy making and motivate action among internal and external audiences and stakeholders. The report will bring global attention to high-performing countries that have valuable experience to share as well as to areas where efforts will need to be redoubled.
  • Publication
    Global Economic Prospects, January 2025
    (Washington, DC: World Bank, 2025-01-16) World Bank
    Global growth is expected to hold steady at 2.7 percent in 2025-26. However, the global economy appears to be settling at a low growth rate that will be insufficient to foster sustained economic development—with the possibility of further headwinds from heightened policy uncertainty and adverse trade policy shifts, geopolitical tensions, persistent inflation, and climate-related natural disasters. Against this backdrop, emerging market and developing economies are set to enter the second quarter of the twenty-first century with per capita incomes on a trajectory that implies substantially slower catch-up toward advanced-economy living standards than they previously experienced. Without course corrections, most low-income countries are unlikely to graduate to middle-income status by the middle of the century. Policy action at both global and national levels is needed to foster a more favorable external environment, enhance macroeconomic stability, reduce structural constraints, address the effects of climate change, and thus accelerate long-term growth and development.