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Agriculture, Economics, Data Science
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Research
Resources
Published:
In this short article, I explore the concept of matching frontier proposed by Professor Gary King and his colleagues at Harvard. The article is published at Towards Data Science.
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In this short article, I explain the Mahalanobis metric matching method and how it can be easily implemented in R. The article is published at Towards Data Science.
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In this short article, I explain how propensity score matching works in practice using 13 lines of R codes. The article is published at Towards Data Science.
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This article explains inverse probability weighting with a few R codes. It is published at The Startup.
Published in Weather and Climate Extremes, 2018
In this study, we assess the magnitude of correlated yield risks across key maize producing countries in the historical times and in the future. We find on evidence of high dependency of maize yields across countries, yet an possibility of higher incidence of yield extremes toward mid-century.
Recommended citation: Chen, B, Villoria, NB. "Yield risks in global maize markets: Historical evidence and projections in key regions of the world." Weather and Climate Extremes. 2018. 19: 42– 48
Published in Environmental Research Letters, 2019
In this article, we address the question that if food imports increase the variability of domestic food prices. We approach this question by conducting an empirical research that uses maize price data observed in 76 maize markets of 27 maize net importers across Africa, Asia and Latin America during 2000–2015. We find that, on average, a 1% increase in the ratio of imports to total consumption is correlated with a 0.29% reduction of the intra-annual coefficient of variation of maize prices.
Recommended citation: Bowen Chen and Nelson B Villoria. (2019). "Climate shocks, food price stability and international trade: evidence from 76 maize markets in 27 net-importing countries." Environmental Research Letters. 14 014007.
Published in farmdoc daily, 2020
In this article, we investigated on the impacts of China’s tariff rate quota policy on its imports of wheat, corn and rice using a partial equilibrium trade model. Our key findings are that the tariff quota administration might have reduced China’s quota fill rates for the grain commodities by 10–35% during 2013–2017.
Recommended citation: Orden, D., C. Xie, B. Chen, L. Brink and C. Zulauf. "WTO Dispute Panel Report on China’s Administration of Tariff Rate Quotas (TRQs) for Certain Agricultural Products." farmdoc daily. (9):84, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, May 8, 2019.
Published in Agricultural Economics, 2020
In this article, we investigated on the impacts of China’s tariff rate quota policy on its imports of wheat, corn and rice using a partial equilibrium trade model. Our key findings are that the tariff quota administration might have reduced China’s quota fill rates for the grain commodities by 10–35% during 2013–2017.
Recommended citation: Chen, B, Villoria, NB, Xia, T. "Tariff quota administration in Chinas grain markets: An empirical assessment." Agricultural Economics. 2020. 51: 191– 206
Published in American Journal of Agricultural Economics, 2020
Lapham ‘s Quarterly is a quarterly publication about history and literature, and it was founded and edited by Lewis H. Lapham, a famous American author and editor. Each quarterly presents a host of excerpts from historical writings (e.g., books, essays and letters) on a particular topic by ancient, medieval, modern, and post‐modern writers. The publication also includes a lot of figures and art. The spring issue of 2019, an issue to be reviewed here, focuses on one of the most hotly debated topics: trade.
Recommended citation: Chen, B. (2020) "Lapham's Quarterly: Trade, Lewis H. Lapham, 2019, Lapham's Quarterly." American Journal of Agricultural Economics. doi:10.1002/ajae.12069
Published in Plos One, 2021
We examined whether or not a class of machine learning methods provided superior prediction of rental value of housing over OLS methods accounting for spatial autocorrelations using household level survey data from Uganda, Tanzania, and Malawi, across multiple years. Our results showed that the machine learning methods are the best models in predicting house values using out-of-sample data set for all the countries and all the years.
Recommended citation: Embaye, Weldensie T., Zereyesus, Yacob Abrehe, Chen, Bowen. "Predicting the rental value of houses in household surveys in Tanzania, Uganda and Malawi: Evaluations of hedonic pricing and machine learning approaches." PLOS ONE. 2021. 16(2).
Published in Q Open, 2021
This article estimates the effects of conservation tillage on county average corn and soybean yields using remotely-sensed tillage practice adoption data in 646 counties across 12 Corn Belt states from 2005 to 2018.
Recommended citation: Chen, Bowen, Gramig, Ben M., Yun, Seong D. "Conservation tillage mitigates drought induced soybean yield losses in the us corn belt." Q Open. 2021.
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Graduate course, Kansas State University, 2018
Instructor
Graduate course, Kansas State University, 2018
Teaching assistant