John C. Chao

957 total citations
30 papers, 483 citations indexed

About

John C. Chao is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, John C. Chao has authored 30 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 11 papers in General Economics, Econometrics and Finance and 7 papers in Finance. Recurrent topics in John C. Chao's work include Monetary Policy and Economic Impact (11 papers), Spatial and Panel Data Analysis (9 papers) and Statistical Methods and Inference (5 papers). John C. Chao is often cited by papers focused on Monetary Policy and Economic Impact (11 papers), Spatial and Panel Data Analysis (9 papers) and Statistical Methods and Inference (5 papers). John C. Chao collaborates with scholars based in United States, Netherlands and New Zealand. John C. Chao's co-authors include Norman R. Swanson, Peter C.B. Phillips, Valentina Corradi, Tiemen Woutersen, Whitney K. Newey, Jerry A. Hausman, Doron Avramov, F. Rizzo, Yijun Liu and P. A. Martin and has published in prestigious journals such as Econometrica, Journal of Applied Mechanics and Journal of Econometrics.

In The Last Decade

John C. Chao

28 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John C. Chao United States 12 230 218 134 121 52 30 483
Marcelo Fernandes United Kingdom 13 261 1.1× 166 0.8× 337 2.5× 115 1.0× 58 1.1× 49 619
Melanie Schienle Germany 13 268 1.2× 99 0.5× 239 1.8× 66 0.5× 27 0.5× 33 536
Katsuto Tanaka Japan 15 382 1.7× 380 1.7× 513 3.8× 299 2.5× 75 1.4× 33 837
Johan F. Kaashoek Netherlands 8 79 0.3× 46 0.2× 60 0.4× 48 0.4× 33 0.6× 22 272
Viktor Winschel Switzerland 7 94 0.4× 42 0.2× 38 0.3× 32 0.3× 35 0.7× 8 365
Wei-Ming Lee Taiwan 10 82 0.4× 44 0.2× 82 0.6× 38 0.3× 8 0.2× 30 280
Orlando Gomes Portugal 9 136 0.6× 46 0.2× 43 0.3× 32 0.3× 19 0.4× 90 339
G.H. Lin United States 8 416 1.8× 247 1.1× 403 3.0× 5 0.0× 34 0.7× 14 618
Yue Fang China 11 84 0.4× 43 0.2× 70 0.5× 63 0.5× 108 2.1× 41 367
Catherine Doz France 6 459 2.0× 457 2.1× 224 1.7× 69 0.6× 98 1.9× 16 670

Countries citing papers authored by John C. Chao

Since Specialization
Citations

This map shows the geographic impact of John C. Chao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John C. Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Chao more than expected).

Fields of papers citing papers by John C. Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Chao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John C. Chao. The network helps show where John C. Chao may publish in the future.

Co-authorship network of co-authors of John C. Chao

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Chao. A scholar is included among the top collaborators of John C. Chao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John C. Chao. John C. Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chao, John C., Norman R. Swanson, & Tiemen Woutersen. (2023). Jackknife estimation of a cluster-sample IV regression model with many weak instruments. Journal of Econometrics. 235(2). 1747–1769. 2 indexed citations
2.
Chao, John C., et al.. (2022). Comparison of Intramedullary Screws, Plating, and K-Wires for Metacarpal Fracture Fixation: A Meta-analysis. Plastic & Reconstructive Surgery Global Open. 10(10S). 153–154.
3.
Chao, John C. & Peter C.B. Phillips. (2017). Uniform Inference in Panel Autoregression. SSRN Electronic Journal. 2 indexed citations
4.
Hausman, Jerry A., Whitney K. Newey, Tiemen Woutersen, John C. Chao, & Norman R. Swanson. (2012). Instrumental variable estimation with heteroskedasticity and many instruments. Quantitative Economics. 3(2). 211–255. 77 indexed citations
5.
Chao, John C., Norman R. Swanson, Jerry A. Hausman, Whitney K. Newey, & Tiemen Woutersen. (2011). ASYMPTOTIC DISTRIBUTION OF JIVE IN A HETEROSKEDASTIC IV REGRESSION WITH MANY INSTRUMENTS. Econometric Theory. 28(1). 42–86. 1 indexed citations
6.
Chao, John C., Jerry A. Hausman, Whitney K. Newey, Norman R. Swanson, & Tiemen Woutersen. (2010). Testing Overidentifying Restrictions with Many Instruments and Heteroskedasticity. SSRN Electronic Journal. 7 indexed citations
7.
Chao, John C. & Norman R. Swanson. (2006). Alternative approximations of the bias and MSE of the IV estimator under weak identification with an application to bias correction. Journal of Econometrics. 137(2). 515–555. 19 indexed citations
8.
Chao, John C., et al.. (2005). Safeway Designs Mixed-Product Pallets to Support Just-in-Time Deliveries. INFORMS Journal on Applied Analytics. 35(4). 294–307. 5 indexed citations
9.
Chao, John C. & Norman R. Swanson. (2005). Consistent Estimation with a Large Number of Weak Instruments. Econometrica. 73(5). 1673–1692. 39 indexed citations
10.
Swanson, Norman R. & John C. Chao. (2004). Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments. RePEc: Research Papers in Economics. 1 indexed citations
11.
Avramov, Doron, John C. Chao, & Tarun Chordia. (2002). Hedging Against Liquidity Risk and Short Sale Constraints. SSRN Electronic Journal. 7 indexed citations
12.
Chao, John C. & Peter C.B. Phillips. (2002). Jeffreys prior analysis of the simultaneous equations model in the case with n+1 endogenous variables. Journal of Econometrics. 111(2). 251–283. 10 indexed citations
13.
Chao, John C., Valentina Corradi, & Norman R. Swanson. (2001). Data Transformation and Forecasting in Models with Unit Roots and Cointegration. Annals of economics and finance. 2(1). 59–76. 4 indexed citations
14.
Avramov, Doron & John C. Chao. (2001). An Exact Bayes Test of Asset Pricing Models with Application to International Markets. SSRN Electronic Journal. 12 indexed citations
15.
Chao, John C., et al.. (2000). Exact Solutions for Out-of-Plane Vibration of Curved Nonuniform Beams. Journal of Applied Mechanics. 68(2). 186–191. 15 indexed citations
16.
Chao, John C. & Norman R. Swanson. (2000). TESTS OF NONNESTED HYPOTHESES IN NONSTATIONARY REGRESSIONS WITH AN APPLICATION TO MODELING INDUSTRIAL PRODUCTION. Macroeconomic Dynamics. 4(1). 42–72.
17.
Chao, John C. & Peter C.B. Phillips. (1999). Model selection in partially nonstationary vector autoregressive processes with reduced rank structure. Journal of Econometrics. 91(2). 227–271. 78 indexed citations
18.
Chao, John C. & Chaoshin Chiao. (1998). Testing the Expectations Theory of the Term Structure of Interest Rates Using Model-Selection Methods. Studies in Nonlinear Dynamics and Econometrics. 2(4). 1 indexed citations
19.
Chao, John C. & Peter C.B. Phillips. (1998). Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior. Journal of Econometrics. 87(1). 49–86. 38 indexed citations
20.
Chao, John C., et al.. (1996). General formulation for light scattering by a dielectric body near a perfectly conducting surface. Journal of the Optical Society of America A. 13(2). 338–338. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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