Asian PTAs data
Soo Yeon Kim and I coded the provisions of Asian PTAs in order to establish a credibility measure. We used the data in our Journal of East Asian Studies and World Trade Review articles. The raw data is available here.
Soo Yeon Kim and I coded the provisions of Asian PTAs in order to establish a credibility measure. We used the data in our Journal of East Asian Studies and World Trade Review articles. The raw data is available here.
Joanne Gowa and I collected bilateral trade data for the years before 1950 mainly from trade yearbooks and statistical abstracts for different countries and territories. As such, the trade data is almost always represented in the domestic currency. We then collected exchange rate data from a variety of sources in order to convert the trade data into US dollars. The data is available on GitHub. Please download.
Cristina Bodea and I updated our central bank independence data for 144 countries for the years 1970 through 2020. Compared to Bodea and Hicks 2015, we added an additional 66 countries and 12 more years of data. We are releasing the scores for all of the components of the CBI index as well. The data is available on GitHub. Please download.
A few years ago, I starting collecting commodity-level trade data for the period 1946 to 1961 for as many countries as possible. This would fill in the gap between the end of World War II and the beginning of COMTRADE’s collection. Between one thing and another, the project stalled. I am uploading the data I did collect in the hopes that someone could find a use for it. The data is available on GitHub.
Raymond Hicks & Dustin Tingley. 2011. "Causal Mediation Analysis." Stata Journal 11(4): 605-619. https://doi.org/10.1177/1536867X1201100407
Raymond Hicks & Soo-Yeon Kim. 2015. "Reciprocal Trade Agreements in Asia: Credible Commitment to Trade Liberalization or Paper Tigers?" Journal of East Asian Studies 12(1): 1-29. https://doi.org/10.1017/S1598240800007608
Joanne Gowa & Raymond Hicks. 2012. "The Most-Favored Nation Rule in Principle and Practice: Discrimination in the GATT." The Review of International Organizations 7(3): 247-266. https://doi.org/10.1007/s11558-011-9141-6
Joanne Gowa & Raymond Hicks. 2013. "Politics, Institutions, and Trade between the Wars: New Data and Conventional Wisdom." International Organization 67(3): 439-467. https://doi.org/10.1017/S0020818313000118
Raymond Hicks, Helen Milner, & Dustin Tingley. 2014. "Trade Policy, Economic Interests and Party Politics in a Developing Country: The Political Economy of CAFTA." International Studies Quarterly 58(1): 106-117. https://doi.org/10.1111/isqu.12057
Julia Gray & Raymond Hicks. 2014. "Reputations, perceptions, and international economic agreements" International Interactions 40(3): 325-249. https://doi.org/10.1080/03050629.2014.899227
Raymond Hicks. 2014. "Stata and Dropbox." Stata Journal 14(3): 693-696. https://doi.org/10.1177/1536867X1401400313
Cristina Bodea & Raymond Hicks. 2015. "Price stability and central bank independence: Discipline, credibility and democratic institutions" International Organization 69(1): 35-61. https://doi.org/10.1017/S0020818314000277
Cristina Bodea & Raymond Hicks. 2015. "International finance and central bank independence: Institutional diffusion and the flow and cost of capital" Journal of Politics 77(1): 268-284. https://doi.org/10.1086/678987
Raymond Hicks. 2015. "Methodological issues." In Lisa L. Martin(ed.) The Oxford Handbook of the Political Economy of International Trade. Oxford: Oxford University Press, 77–98.
Raymond Hicks & Soo-Yeon Kim. 2015. "Does Enforcement Matter? Judicialization in PTAs and Trade Flows" World Trade Review 14(S1): S83-S106. https://doi.org/10.1017/S1474745615000142
Joanne Gowa & Raymond Hicks. 2017. "Conflict and Commerce: New Data about the Great War." British Journal of Political Science 47(3): 653-674. https://doi.org/10.1017/S0007123415000289
Stephen Chaudoin, Jude Hays, & Raymond Hicks. 2018. "Do We Really Know the WTO Cures Cancer?" British Journal of Political Science 48(4): 903-928. https://doi.org/10.1017/S000712341600034X
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Joanne Gowa & Raymond Hicks. 2018. "Big Treaties, Small Effects: The Reciprocal Trade Agreements." World Politics 70(2): 165-193. https://doi.org/10.1017/S0043887117000302
Cristina Bodea & Raymond Hicks. 2018. "Sovereign credit ratings and central banks: Why do analysts pay attention to institutions?" Economics and Politics 30(3): 340-365. https://doi.org/10.1111/ecpo.12113
Jakob de Haan, Cristina Bodea, Sylvester C.W. Eijffinger, & Raymond Hicks. 2018. "Central Bank Independence Before and After the Crisis" Comparative Economic Studies 60: 183-202. https://doi.org/10.1057/s41294-017-0050-4
Matthew Connelly, Raymond Hicks, Robert Jervis, Arthur Spirling, & Clara Suong. 2021. "Diplomatic documents data for international relations: the Freedom of Information Archive Database." Conflict Management and Peace Science 38(6): 762–781. https://doi.org/10.1177/0738894220930326
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Matthew Connelly, Raymond Hicks, Robert Jervis, & Arthur Spirling. 2021. "New evidence and new methods for analyzing the Iranian revolution as an intelligence failure." Intelligence and National Security 36(6): 781–806. https://doi.org/10.1080/02684527.2021.1946959
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Using a large collection of U.S. State Department cables from the 1970s that concern export promotion, we find strong evidence that promotion efforts had the largest effect when economic trade barriers were high and in countries that were politically dissimilar to the U.S.
Don Casler, Matthew Connelly, & Raymond Hicks. 2024. "Trading with Frenemies: How Economic Diplomacy Affects Exports." International Studies Quarterly 68(3): sqae098
Jan-Egbert Sturm, Cristina Bodea, Jakob de Haan, & Raymond Hicks. 2024. "Central bank independence, income inequality and poverty: What do the data say?" Journal of Economic Inequality https://doi.org/10.1007/s10888-024-09637-6
I have written several utility commands for Stata. While I was at Princeton and helping political scientists merge different datasets, I got tired of trying to keep track of different country coding schemes. So I wrote ccode
to translate between different coding schemes: IMF, World Bank, Correlates of War, Banks Cross National Time Series, and country name. I wrote ctyfind
to look up a country name based on one of the classification codes or vice versa. For scholars who use Dropbox, I wrote dropbox
which looks for the Dropbox directory on a computer. Because different individuals had Dropbox in different locations, the command was designed to ease collaboration on do files.
To install any of the packages, put the files in the ado/plus/c directory. The location can be found by typing sysdir in Stata and looking for the PLUS location. You might have to add a “c” directory.
Mediation for Stata estimates the role of particular causal mechanisms that mediate a relationship between treatment and outcome variables. The command calculates causal mediation effects and direct effects for models with continuous or binary dependent variables using methods presented in Imai et al 2010. It also calculates sensitivity analyses for mediation effects that are necessary due to non-random assignment of mediating variable. Our package replaces earlier approaches like the “Baron-Kenny” method and “Sobel test” for the case of continuous mediator and outcome variables, producing identical results as these earlier methods but not put in a causal inference framework and with sensitivity analyses to the key identification assumption. For models with binary mediators or outcomes, correct calculation of mediation effects are implemented that take into account the use of non-linear models such as probit.
The package is available from ssc and can be installed in Stata by typing ssc install mediation
.
At History Lab, we used the Structural Topic Model package for R to run topic modeling on all our collections. I wrote some functions and created an R package to make it easier to run the analysis across all our corpora.
Note that these functions are largely wrappers for functions already in the STM package.
One of the big projects I worked on at History Lab was Named Entity Recognition/Linking on our millions of documents. I set up a pipeline to train a spaCy model in Python for the particular characteristics of our documents and then created a Knowledge Base to identify specific entities within the documents and link them to their Wikidata ID. For entities with the same name, I wrote up a script that would distinguish the entities based on the other entities mentioned in the document.
The repository with the different scripts is available on GitHub.
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
This is a description of a teaching experience. You can use markdown like any other post.
This is a description of a teaching experience. You can use markdown like any other post.
Raymond Hicks , Matthew Connelly, & Nathan Fabius. 2024. "Opening the Doors to International Trade: New Evidence for the Effectiveness of Export Promotion"
Julia Gray, Raymond Hicks, and Matthew Connelly. 2024. "Autocratic Cooperation and Threat Perceptions in US Foreign Policy"
Chloe Ahn, Julia Gray, and Raymond Hicks. 2025. "`Rededicating Ourselves to the Cause of Bleeding Africa`: Sociotropic Portrayals of Economic Cooperation in US Black Newspapers, 1946-1989"