100+ datasets found
  1. Replication dataset and calculations for PIIE WP 21-2, The US–China trade...

    • piie.com
    Updated Feb 25, 2021
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    Chad P. Bown (2021). Replication dataset and calculations for PIIE WP 21-2, The US–China trade war and phase one agreement, by Chad P. Bown. (2021). [Dataset]. https://www.piie.com/publications/working-papers/us-china-trade-war-and-phase-one-agreement
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    Dataset updated
    Feb 25, 2021
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Chad P. Bown
    Area covered
    United States, China
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The US–China trade war and phase one agreement, PIIE Working Paper 21-2.

    If you use the data, please cite as: Bown, Chad P. (2021). The US–China trade war and phase one agreement. PIIE Working Paper 21-2. Peterson Institute for International Economics.

  2. Impact of U.S.-China trade tensions on business strategy in China 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Impact of U.S.-China trade tensions on business strategy in China 2024 [Dataset]. https://www.statista.com/statistics/1406750/impact-of-us-china-trade-tensions-on-business-strategy-in-china/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 21, 2024 - Nov 15, 2024
    Area covered
    United States, China
    Description

    According to a survey conducted among U.S. enterprises in China in November 2024, around ** percent of respondents reported that the U.S.-China trade tensions made them delay or cancel investment decisions in China. Around ** percent of companies stated that the trade tensions did not impact their business strategy.

  3. Replication dataset and calculations for PIIE Briefing 18-1, US-China...

    • piie.com
    Updated Jun 8, 2018
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    Adam S. Posen; Jiming Ha; Chad P. Bown; Robert Z. Lawrence; Mary E. Lovely; Zixuan Huang; C. Fred Bergsten; Nicholas R. Lardy; Jacob Funk Kirkegaard; Martin Chorzempa; Nicolas Véron; Joseph E. Gagnon (2018). Replication dataset and calculations for PIIE Briefing 18-1, US-China Economic Relations: From Conflict to Solutions – Part I, by Adam S. Posen, Jiming Ha, Chad P. Bown, Robert Z. Lawrence, Mary E. Lovely, Zixuan Huang, C. Fred Bergsten, Nicholas R. Lardy [Dataset]. https://www.piie.com/publications/piie-briefings/us-china-economic-relations-conflict-solutions-part-i
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    Dataset updated
    Jun 8, 2018
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Adam S. Posen; Jiming Ha; Chad P. Bown; Robert Z. Lawrence; Mary E. Lovely; Zixuan Huang; C. Fred Bergsten; Nicholas R. Lardy; Jacob Funk Kirkegaard; Martin Chorzempa; Nicolas Véron; Joseph E. Gagnon
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in US-China Economic Relations: From Conflict to Solutions – Part I, PIIE Briefing 18-1.

    If you use the data, please cite as: Posen, Adam S., Jiming Ha, Chad P. Bown, Robert Z. Lawrence, Mary E. Lovely, Zixuan Huang, C. Fred Bergsten, Nicholas R. Lardy, Jacob Funk Kirkegaard, Martin Chorzempa, Nicolas Véron, and Joseph E. Gagnon. (2018). US-China Economic Relations: From Conflict to Solutions – Part I. PIIE Briefing 18-1. Peterson Institute for International Economics.

  4. Total value of U.S. trade in goods with China 2014-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). Total value of U.S. trade in goods with China 2014-2024 [Dataset]. https://www.statista.com/statistics/277679/total-value-of-us-trade-in-goods-with-china-since-2006/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, China
    Description

    In 2024, the total value of the U.S. trade in goods with China amounted to around *** billion U.S. dollars composed of a ****** billion U.S. dollars export value and a ****** billion U.S. dollars import value. This represented a negative trade balance of ***** billion U.S. dollars.

  5. H

    Replication Data for: Tariffs as Electoral Weapons: The Political Geography...

    • dataverse.harvard.edu
    Updated Oct 19, 2020
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    Sung Eun Kim; Yotam Margalit (2020). Replication Data for: Tariffs as Electoral Weapons: The Political Geography of the US-China Trade War [Dataset]. http://doi.org/10.7910/DVN/1GGBBK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 19, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Sung Eun Kim; Yotam Margalit
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States, China
    Description

    In response to President Trump’s escalation of trade relations, China countered by issuing tariffs on over 6,000 products worth over $110 billion in U.S. exports. We explore whether China’s tariffs reflected a strategy to apply counter-pressure by hurting political support for Republicans, assess the strategy’s impact on the 2018 mid-term elections, and examine the mechanism underlying the resulting electoral shift. We find strong evidence that Chinese tariffs systematically targeted U.S. goods whose production is concentrated in Republican-supporting counties, particularly when located in closely contested Congressional districts. This apparent strategy was successful: targeted areas were more likely to turn against Republican candidates. Using data on campaign communications, local search patterns online and an original national survey, we find evidence that voters residing in areas vulnerable to the tariffs were more likely to learn about the trade war, recognize its adverse impact, and assign the Republicans responsibility for the escalating situation.

  6. Replication dataset for PIIE PB 24-9, Economic implications of revoking...

    • piie.com
    Updated Sep 17, 2024
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    Megan Hogan; Warwick J. McKibbin; Marcus Noland (2024). Replication dataset for PIIE PB 24-9, Economic implications of revoking China's permanent normal trade relations (PNTR) status by Megan Hogan, Warwick J. McKibbin, and Marcus Noland (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/economic-implications-revoking-chinas-permanent-normal-trade
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    Dataset updated
    Sep 17, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Megan Hogan; Warwick J. McKibbin; Marcus Noland
    Area covered
    China
    Description

    This data package includes the underlying data files to replicate the data and charts presented in Economic implications of revoking China's permanent normal trade relations (PNTR) status by Megan Hogan, Warwick J. McKibbin, and Marcus Noland, PIIE Policy Brief 24-9.

    If you use the data, please cite as: Hogan, Megan, Warwick J. McKibbin, and Marcus Noland. 2024. Economic implications of revoking China's permanent normal trade relations (PNTR) status, PIIE Policy Brief 24-9. Washington, DC: Peterson Institute for International Economics.

  7. Import/Export Trade Data in China

    • kaggle.com
    Updated Sep 10, 2024
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    Techsalerator (2024). Import/Export Trade Data in China [Dataset]. https://www.kaggle.com/datasets/techsalerator/importexport-trade-data-in-china/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Kaggle
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    China
    Description

    Techsalerator’s Import/Export Trade Data for China

    Techsalerator’s Import/Export Trade Data for China provides an extensive and detailed collection of information on international trade activities involving Chinese companies. This dataset offers a thorough analysis of trade transactions, documenting and categorizing imports and exports across various industries within China.

    To obtain Techsalerator’s Import/Export Trade Data for China, please contact info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Techsalerator's Import/Export Trade Data for China delivers an in-depth examination of trade activities, integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset assists businesses, investors, and trade analysts in understanding China’s trade landscape in detail.

    Key Data Fields

    • Company Name: Lists the companies involved in trade transactions, helping identify potential partners or competitors and track industry-specific trade patterns.
    • Trade Volume: Details the quantity or value of goods traded, offering insights into the scale and economic impact of trade activities.
    • Product Category: Specifies the types of goods traded, such as electronics or textiles, aiding in understanding market demand and supply chain dynamics.
    • Import/Export Country: Identifies the countries of origin or destination for traded goods, providing insights into global trade relationships and market access.
    • Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

    Top Trade Trends in China

    • Trade Balance Dynamics: China’s trade balance exhibits significant fluctuations, influenced by major partners such as the United States and the European Union. Trade policies and negotiations play a crucial role in addressing imbalances and shaping trade relationships.
    • US-China Trade Relations: The trade relationship with the United States remains pivotal, influenced by agreements and tariffs. This partnership impacts various aspects of China’s trade policies and practices.
    • Expansion of Global Trade Networks: China is increasingly broadening its trade partners and markets, reflecting a trend towards more extensive global trade engagement.
    • Growth in Technological Exports: China continues to experience substantial trade in technology products, including electronics and machinery, which are key components of its export economy.
    • Emphasis on Sustainable Trade Practices: There is a growing focus on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies.

    Notable Companies in Chinese Trade Data

    • Huawei Technologies: A leading telecommunications company involved in exporting and importing advanced technology and electronics, playing a significant role in China’s trade dynamics.
    • Lenovo: A major player in the technology sector, known for its global trade in computing products and electronics.
    • China National Petroleum Corporation (CNPC): A key entity in the energy sector, involved in the import and export of oil and gas products.
    • Alibaba Group: A major e-commerce company that facilitates a substantial volume of international trade through its platforms.
    • BYD: A significant player in the electric vehicle and battery industry, impacting China’s trade in automotive technology and related components.

    Accessing Techsalerator’s Data

    To obtain Techsalerator’s Import/Export Trade Data for China, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields:

    • Company Name
    • Trade Volume
    • Product Category
    • Import/Export Country
    • Transaction Date
    • Shipping Details
    • Customs Codes
    • Trade Value

    For detailed insights into China’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

  8. U.S.-China trade deficit 2014-2024

    • statista.com
    • ai-chatbox.pro
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    Statista, U.S.-China trade deficit 2014-2024 [Dataset]. https://www.statista.com/statistics/939402/us-china-trade-deficit/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, China
    Description

    This statistic shows the United States goods trade deficit with China from 2014 to 2024. In 2024, the value of U.S. imports from China exceeded the exports to China by around ***** billion U.S. dollars.

  9. Trump Allows China to Resume Iranian Oil Purchases, Impacting Global Markets...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Trump Allows China to Resume Iranian Oil Purchases, Impacting Global Markets - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/trump-authorizes-china-to-buy-iranian-oil-shifting-trade-dynamics/
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    doc, xlsx, xls, pdf, docxAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Jul 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    President Trump permits China to buy Iranian oil, altering U.S.-China trade relations and affecting global oil markets.

  10. Total value of U.S. monthly trade in goods with China 2023-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jul 15, 2025
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    Statista (2025). Total value of U.S. monthly trade in goods with China 2023-2025 [Dataset]. https://www.statista.com/statistics/277494/total-value-of-us-trade-in-goods-with-china/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023 - May 2025
    Area covered
    United States, China
    Description

    In May 2025, the total value of the U.S. trade in goods with China amounted to more than 27 billion U.S. dollars. This comprises a 6.6 billion U.S. dollar export value and around 20.5 billion U.S. dollar import value.

  11. U.S. manufacturers in China relocating due to U.S.-China tariffs 2018, by...

    • statista.com
    Updated May 28, 2020
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    Statista (2020). U.S. manufacturers in China relocating due to U.S.-China tariffs 2018, by destination [Dataset]. https://www.statista.com/statistics/917914/american-manufacturers-in-china-relocating-due-to-us-china-trade-tariffs-by-destination/
    Explore at:
    Dataset updated
    May 28, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 29, 2018 - Sep 5, 2018
    Area covered
    China, United States
    Description

    This statistic shows the results of a survey conducted among American companies in China on the perceived impact on their businesses of the U.S.-China trade tariffs as of September 2018. During the survey period, 64.6 percent of the surveyed American companies in China said that they had no plans to relocate their manufacturing facilities due to the U.S.-China trade tariffs and trade relations, however, 18.5 percent of the companies reported to have relocated or considering relocating their manufacturing facilities to Southeast Asia.

  12. d

    Replication Data for: International Trade and United States Relations with...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Ben Fordham; Katja Kleinberg (2023). Replication Data for: International Trade and United States Relations with China [Dataset]. http://doi.org/10.7910/DVN/DDNLGC
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Ben Fordham; Katja Kleinberg
    Area covered
    United States, China
    Description

    United States relations with China are critically important for the future of world politics. They are also a useful case in which to test the individual-level implications of the liberal commercial peace argument. A plausible case can be made on both side s of the claim that China poses a security threat to the United States. China's economy is growing far faster than the United States' economy, while the country remains a communist autocracy. At the same time, trade between the U.S. and China has expanded dramatically in the last three decades. Its dual role as a major trading partner and a growing international rival generates substantial uncertainty about China's future status as friend or foe. Using data from a recent survey by the Chicago Council on Foreign Relations (CCFR), we find that economic interests help explain individual Americans' assessment of China as a threat and their views concerning hostile policies toward that country. Those who stand to benefit from trade with China hold more positive views of the country and oppose conflictual foreign policies with respect to it. Those whose incomes are likely to decline because of trade with China tend to take the opposite position on these questions.

  13. Escalating US-China Trade Tensions: Impact of New Port Fees - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Escalating US-China Trade Tensions: Impact of New Port Fees - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/us-china-trade-tensions-escalate-over-port-fees/
    Explore at:
    xlsx, xls, pdf, docx, docAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Jun 1, 2025
    Area covered
    China
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    The US decision to impose port fees on Chinese ships has intensified trade tensions, impacting stock markets and economic outlooks.

  14. Replication dataset and calculations for PIIE WP 19-7, The 2018 US-China...

    • piie.com
    Updated Apr 24, 2019
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    Chad P. Bown (2019). Replication dataset and calculations for PIIE WP 19-7, The 2018 US-China Trade Conflict after 40 Years of Special Protection , by Chad P Bown. (2019). [Dataset]. https://www.piie.com/publications/working-papers/2018-us-china-trade-conflict-after-40-years-special-protection
    Explore at:
    Dataset updated
    Apr 24, 2019
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Chad P. Bown
    Area covered
    United States, China
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The 2018 US-China Trade Conflict after 40 Years of Special Protection, PIIE Working paper 19-7.

    If you use the data, please cite as: Bown, Chad P. (2019). The 2018 US-China Trade Conflict after 40 Years of Special Protection. PIIE Working paper 19-7. Peterson Institute for International Economics.

  15. The impact of the US–China trade war on the Korea-China Relations: Time...

    • figshare.com
    txt
    Updated Sep 18, 2021
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    Lee (2021). The impact of the US–China trade war on the Korea-China Relations: Time Series Analysis using the GDELT big data [Dataset]. http://doi.org/10.6084/m9.figshare.16640053.v1
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    txtAvailable download formats
    Dataset updated
    Sep 18, 2021
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea, United States, China
    Description

    Time Series Analysis using the GDELT big data

  16. d

    Replication Data and Code for: The US–China Phase One trade deal: An...

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Wende, Adrian; Funke, Michael (2023). Replication Data and Code for: The US–China Phase One trade deal: An economic analysis of the managed trade agreement [Dataset]. http://doi.org/10.5683/SP3/NWV8W7
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Wende, Adrian; Funke, Michael
    Description

    The data and programs replicate tables and figures from "The US–China Phase One trade deal: An economic analysis of the managed trade agreement", by Funke and Wende. Please see the ReadMe file for additional details.

  17. T

    United States Imports from China

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). United States Imports from China [Dataset]. https://tradingeconomics.com/united-states/imports/china
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on July of 2025.

  18. U.S. companies in China with profit loss due to U.S.-China tariffs 2018, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. companies in China with profit loss due to U.S.-China tariffs 2018, by industry [Dataset]. https://www.statista.com/statistics/917798/american-companies-in-china-with-profit-loss-due-to-us-china-trade-tariffs-by-industry/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 29, 2018 - Sep 5, 2018
    Area covered
    United States, China
    Description

    This statistic shows the results of a survey conducted among American companies in China on the perceived impact on their businesses of the U.S.-China trade tariffs as of September 2018. During the survey period, **** percent of the surveyed American companies in China whose businesses were related to healthcare products said that the combined U.S.-China trade tariffs reduced their profits.

  19. o

    Data and Code for "Did U.S. Politicians Expect the China Shock?""

    • openicpsr.org
    delimited
    Updated Jul 6, 2022
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    Matilde Bombardini; Bingjing Li; Francesco Trebbi (2022). Data and Code for "Did U.S. Politicians Expect the China Shock?"" [Dataset]. http://doi.org/10.3886/E174541V1
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    delimitedAvailable download formats
    Dataset updated
    Jul 6, 2022
    Dataset provided by
    American Economic Association
    Authors
    Matilde Bombardini; Bingjing Li; Francesco Trebbi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1990 - 2001
    Area covered
    United States
    Description

    Information sets, expectations, and preferences of politicians are fundamental, but unobserved determinants of their policy choices. Employing repeated votes in the U.S. House of Representatives on China's Normal Trade Relations status during the two decades straddling China's WTO accession, we apply a moment inequality approach designed to deliver consistent estimates under weak informational assumptions on the information sets of members of Congress. This methodology offers a robust way to test hypotheses about what information politicians have at the time of their decision and to estimate the weight that constituents, ideology, and other factors have in policy making and voting.

  20. H

    Replication data for: 'It's Not You, It's Me': Price, Quality and Switching...

    • dataverse.harvard.edu
    Updated Feb 16, 2023
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    Ryan Monarch (2023). Replication data for: 'It's Not You, It's Me': Price, Quality and Switching in U.S.-China Trade Relationships" [Dataset]. http://doi.org/10.7910/DVN/5JILCG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Ryan Monarch
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States, China
    Description

    This file contains replication code for results in the manuscript "It's Not You, It's Me: Price, Quality and Switching in U.S.-China Trade Relationships", as well as instructions for accessing the proprietary data used in the paper

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Cite
Chad P. Bown (2021). Replication dataset and calculations for PIIE WP 21-2, The US–China trade war and phase one agreement, by Chad P. Bown. (2021). [Dataset]. https://www.piie.com/publications/working-papers/us-china-trade-war-and-phase-one-agreement
Organization logo

Replication dataset and calculations for PIIE WP 21-2, The US–China trade war and phase one agreement, by Chad P. Bown. (2021).

Explore at:
13 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 25, 2021
Dataset provided by
Peterson Institute for International Economicshttp://www.piie.com/
Authors
Chad P. Bown
Area covered
United States, China
Description

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The US–China trade war and phase one agreement, PIIE Working Paper 21-2.

If you use the data, please cite as: Bown, Chad P. (2021). The US–China trade war and phase one agreement. PIIE Working Paper 21-2. Peterson Institute for International Economics.

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