Shawn Ni

2.3k total citations · 1 hit paper
47 papers, 1.6k citations indexed

About

Shawn Ni is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Accounting. According to data from OpenAlex, Shawn Ni has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Economics and Econometrics, 17 papers in General Economics, Econometrics and Finance and 15 papers in Accounting. Recurrent topics in Shawn Ni's work include Monetary Policy and Economic Impact (16 papers), Financial Literacy, Pension, Retirement Analysis (14 papers) and Retirement, Disability, and Employment (8 papers). Shawn Ni is often cited by papers focused on Monetary Policy and Economic Impact (16 papers), Financial Literacy, Pension, Retirement Analysis (14 papers) and Retirement, Disability, and Employment (8 papers). Shawn Ni collaborates with scholars based in United States, China and South Korea. Shawn Ni's co-authors include Kiseok Lee, Ronald A. Ratti, Dongchu Sun, Edward I. George, Michael Podgursky, Xinghe Wang, Cory Koedel, J. Isaac Miller, Dan Goldhaber and Wei Kong and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Review of Economics and Statistics and Journal of Econometrics.

In The Last Decade

Shawn Ni

42 papers receiving 1.5k citations

Hit Papers

Oil Shocks and the Macroeconomy: The Role of Price Variab... 1995 2026 2005 2015 1995 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Oil Shocks and the Macroeconomy: The Role of Price Variability*
    1995 703 citations Kiseok Lee, Shawn Ni et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn Ni United States 12 1.4k 781 708 175 100 47 1.6k
Thomas Goodwin United States 10 822 0.6× 422 0.5× 324 0.5× 303 1.7× 118 1.2× 18 1.0k
Nathan S. Balke United States 22 1.5k 1.1× 1.2k 1.5× 350 0.5× 675 3.9× 119 1.2× 57 1.9k
Andy Snell United Kingdom 12 1.4k 1.0× 1.0k 1.3× 183 0.3× 499 2.9× 98 1.0× 32 1.6k
Zacharias Psaradakis United Kingdom 18 894 0.6× 678 0.9× 86 0.1× 638 3.6× 99 1.0× 63 1.2k
Simon van Norden Canada 17 1.4k 1.0× 990 1.3× 220 0.3× 652 3.7× 80 0.8× 48 1.6k
Christian Conrad Germany 19 1.4k 1.0× 648 0.8× 165 0.2× 891 5.1× 35 0.3× 87 1.6k
Robert J. Vigfusson United States 22 1.9k 1.3× 1.4k 1.8× 647 0.9× 563 3.2× 48 0.5× 68 2.2k
Miguel Angel Rivera Castro Brazil 14 1.4k 1.0× 375 0.5× 431 0.6× 416 2.4× 107 1.1× 31 1.6k
H. Peter Boswijk Netherlands 19 1.1k 0.7× 653 0.8× 234 0.3× 458 2.6× 42 0.4× 67 1.4k
Olivier Darné France 21 1.3k 0.9× 599 0.8× 134 0.2× 698 4.0× 131 1.3× 80 1.5k

Countries citing papers authored by Shawn Ni

Since Specialization
Citations

This map shows the geographic impact of Shawn Ni'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 Shawn Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Ni more than expected).

Fields of papers citing papers by Shawn Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn Ni. 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 Shawn Ni. The network helps show where Shawn Ni may publish in the future.

Co-authorship network of co-authors of Shawn Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Ni. A scholar is included among the top collaborators of Shawn Ni 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 Shawn Ni. Shawn Ni 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.
Podgursky, Michael, et al.. (2021). Teacher Pension Enhancements and Staffing in an Urban School District. SSRN Electronic Journal. 2 indexed citations
2.
Ni, Shawn, Michael Podgursky, & Xiqian Wang. (2021). Teacher pension enhancements and staffing in an urban school district. Journal of Pensions Economics and Finance. 21(4). 613–633. 5 indexed citations
3.
Kim, Dongwoo, Cory Koedel, Shawn Ni, & Michael Podgursky. (2017). Labor market frictions and production efficiency in public schools. Economics of Education Review. 60. 54–67. 3 indexed citations
4.
Ni, Shawn & Michael Podgursky. (2016). How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications. Journal of Labor Economics. 34(4). 1075–1104. 28 indexed citations
5.
Backes, Ben, Dan Goldhaber, Cory Koedel, et al.. (2016). CENTER for ANALYSIS of LONGITUDINAL DATA in EDUCATION RESEARCH. 1 indexed citations
6.
Ni, Shawn, et al.. (2014). New evidence on excess sensitivity of household consumption. Journal of Monetary Economics. 63. 80–94. 8 indexed citations
7.
Koedel, Cory, Shawn Ni, & Michael Podgursky. (2013). The School Administrator Payoff from Teacher Pensions. Education next. 13(4). 8–13. 4 indexed citations
8.
Sun, Dongchu & Shawn Ni. (2012). Bayesian testing of restrictions on vector autoregressive models. Journal of Statistical Planning and Inference. 142(11). 3008–3022.
9.
Koedel, Cory, Jason A. Grissom, Shawn Ni, & Michael Podgursky. (2012). Pension-Induced Rigidities in the Labor Market for School Leaders. Working Paper 67.. 3 indexed citations
10.
Chen, Jie & Shawn Ni. (2011). International Real Estate Review. International Real Estate Review. 14(2). 208–239. 1 indexed citations
11.
Miller, J. Isaac & Shawn Ni. (2011). LONG-TERM OIL PRICE FORECASTS: A NEW PERSPECTIVE ON OIL AND THE MACROECONOMY. Macroeconomic Dynamics. 15(S3). 396–415. 10 indexed citations
12.
Ni, Shawn, et al.. (2009). Teacher Pension Incentives and Labor Market Behavior: Evidence from Missouri Administrative Teacher Data. Conference Paper 2009-11.. 2 indexed citations
13.
George, Edward I., Dongchu Sun, & Shawn Ni. (2007). Bayesian stochastic search for VAR model restrictions. Journal of Econometrics. 142(1). 553–580. 169 indexed citations
14.
Pham, Van H. & Shawn Ni. (2005). High Corruption Income in Ming and Qing China. SSRN Electronic Journal. 1 indexed citations
15.
Ni, Shawn & Dongchu Sun. (2004). Bayesian Estimates for Vector Autoregressive Models. Journal of Business and Economic Statistics. 23(1). 105–117. 37 indexed citations
16.
Ni, Shawn, et al.. (2003). Price uncertainty and consumer welfare in an intertemporal setting. Journal of Economic Dynamics and Control. 28(9). 1877–1901. 2 indexed citations
17.
Lee, Kiseok & Shawn Ni. (2002). On the dynamic effects of oil price shocks: a study using industry level data. Journal of Monetary Economics. 49(4). 823–852. 411 indexed citations
18.
Ni, Shawn & Dongchu Sun. (2002). Alternative Bayesian Estimators for Vector-Autoregressive Models. MOspace Institutional Repository (University of Missouri). 1 indexed citations
19.
Ni, Shawn. (1997). Scaling Factors in Estimation of Time-Nonseparable Utility Functions. The Review of Economics and Statistics. 79(2). 234–240. 2 indexed citations
20.
Lee, Kiseok & Shawn Ni. (1996). Stock returns, real activities and temporary and persistent inflation. Applied Financial Economics. 6(5). 433–441. 5 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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