David E. Runkle

15.6k total citations · 3 hit papers
45 papers, 10.7k citations indexed

About

David E. Runkle is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance. According to data from OpenAlex, David E. Runkle has authored 45 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Economics, Econometrics and Finance, 22 papers in Economics and Econometrics and 9 papers in Finance. Recurrent topics in David E. Runkle's work include Monetary Policy and Economic Impact (22 papers), Market Dynamics and Volatility (8 papers) and Financial Markets and Investment Strategies (7 papers). David E. Runkle is often cited by papers focused on Monetary Policy and Economic Impact (22 papers), Market Dynamics and Volatility (8 papers) and Financial Markets and Investment Strategies (7 papers). David E. Runkle collaborates with scholars based in United States, Australia and Canada. David E. Runkle's co-authors include Lawrence R. Glosten, Ravi Jagannathan, Michael P. Keane, John H. Boyd, John Geweke, N. Gregory Mankiw, Matthew D. Shapiro, Robert Moffitt, Charles H. Whiteman and William Roberds and has published in prestigious journals such as The Journal of Finance, American Economic Review and Journal of Political Economy.

In The Last Decade

David E. Runkle

44 papers receiving 9.6k citations

Hit Papers

On the Relation between the Expected Value and the Volati... 1993 2026 2004 2015 1993 1993 1993 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Runkle United States 20 8.1k 7.8k 3.7k 1.2k 886 45 10.7k
George Tauchen United States 41 7.1k 0.9× 8.4k 1.1× 3.2k 0.9× 1.1k 0.9× 613 0.7× 112 11.1k
Éric Ghysels United States 51 8.3k 1.0× 8.6k 1.1× 4.4k 1.2× 1.1k 0.9× 1.4k 1.6× 240 12.4k
Larry G. Epstein United States 47 8.1k 1.0× 6.3k 0.8× 2.7k 0.7× 1.7k 1.4× 2.2k 2.5× 96 12.0k
Jonathan H. Wright United States 45 5.6k 0.7× 5.8k 0.7× 5.7k 1.6× 641 0.5× 566 0.6× 169 9.0k
Kenneth J. Singleton United States 45 8.0k 1.0× 13.7k 1.7× 6.0k 1.6× 2.0k 1.7× 775 0.9× 95 17.6k
Tim Bollerslev United States 32 6.8k 0.8× 8.3k 1.1× 3.4k 0.9× 706 0.6× 608 0.7× 74 9.6k
Adrian Pagan Australia 28 5.2k 0.6× 3.3k 0.4× 3.9k 1.1× 582 0.5× 577 0.7× 99 7.7k
Robert J. Hodrick United States 28 9.2k 1.1× 10.2k 1.3× 6.5k 1.8× 2.7k 2.2× 916 1.0× 59 14.5k
Allan Timmermann United States 64 9.3k 1.1× 9.3k 1.2× 5.8k 1.6× 2.0k 1.6× 3.4k 3.8× 211 14.1k
Kenneth F. Kroner United States 13 7.7k 0.9× 7.1k 0.9× 3.6k 1.0× 449 0.4× 445 0.5× 19 9.4k

Countries citing papers authored by David E. Runkle

Since Specialization
Citations

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

Fields of papers citing papers by David E. Runkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Runkle. 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 David E. Runkle. The network helps show where David E. Runkle may publish in the future.

Co-authorship network of co-authors of David E. Runkle

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Runkle. A scholar is included among the top collaborators of David E. Runkle 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 David E. Runkle. David E. Runkle 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.
Runkle, David E.. (2000). Old ideas at work in the new economy. RePEc: Research Papers in Economics. 14. 1 indexed citations
2.
Mukherji, Arijit & David E. Runkle. (2000). Learning to Be Unpredictable: An Experimental Study. Quarterly Review. 24(2). 4 indexed citations
3.
McCabe, Kevin, Arijit Mukherji, & David E. Runkle. (2000). An experimental study of information and mixed-strategy play in the three-person matching-pennies game. Economic Theory. 15(2). 421–462. 15 indexed citations
4.
Rolnick, Arthur J., et al.. (1999). The Federal Reserve's Beige Book: A better mirror than crystal ball. RePEc: Research Papers in Economics. 13. 15 indexed citations
5.
Runkle, David E., et al.. (1999). The Easy Case for Derivatives Use: Advocating a Corporate Fiduciary Duty to Use Derivatives. SSRN Electronic Journal. 41(2). 595. 2 indexed citations
6.
Roberds, William, David E. Runkle, & Charles H. Whiteman. (1998). A Daily View of Yield Spreads and Short-Term Interest Rate Movements. SSRN Electronic Journal. 2 indexed citations
7.
Keane, Michael P. & David E. Runkle. (1998). Are Financial Analysts' Forecasts of Corporate Profits Rational?. SSRN Electronic Journal. 16 indexed citations
8.
Keane, Michael P. & David E. Runkle. (1998). Are Financial Analysts' Forecasts of Corporate Profits Rational?. Journal of Political Economy. 106(4). 768–805. 136 indexed citations
9.
Geweke, John, Michael P. Keane, & David E. Runkle. (1997). Statistical inference in the multinomial multiperiod probit model. Journal of Econometrics. 80(1). 125–165. 134 indexed citations
10.
Keane, Michael P. & David E. Runkle. (1995). Testing the rationality of price forecasts: Reply. American Economic Review. 85(1). 290–290. 4 indexed citations
11.
Glosten, Lawrence R., Ravi Jagannathan, & David E. Runkle. (1993). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance. 48(5). 1779–1801. 6114 indexed citations breakdown →
12.
Glosten, Lawrence R., Ravi Jagannathan, & David E. Runkle. (1993). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance. 48(5). 1779–1779. 1601 indexed citations breakdown →
13.
Roberds, William, David E. Runkle, & Charles H. Whiteman. (1992). Another Hole in the Ozone Layer: Changes in FOMC Operating Procedure and the Term Structure. SSRN Electronic Journal. 2 indexed citations
14.
Runkle, David E.. (1992). Do futures markets react efficiently to predictable errors in Government Announcements?. Journal of Futures Markets. 12(6). 635–643. 3 indexed citations
15.
Keane, Michael P. & David E. Runkle. (1992). On the Estimation of Panel-Data Models With Serial Correlation When Instruments Are Not Strictly Exogenous. Journal of Business and Economic Statistics. 10(1). 1–9. 191 indexed citations
16.
Keane, Michael P. & David E. Runkle. (1992). [On the Estimation of Panel-Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous]: Reply. Journal of Business and Economic Statistics. 10(1). 26–26. 9 indexed citations
17.
Keane, Michael P. & David E. Runkle. (1990). Testing the Rationality of Price Forecasts: New Evidence from Panel Data. American Economic Review. 80(4). 714–735. 338 indexed citations
18.
Runkle, David E.. (1990). Bad News From a Forecasting Model of the U.S. Economy. Quarterly Review. 14(4). 4 indexed citations
19.
Runkle, David E.. (1987). [Vector Autoregressions and Reality]: Reply. Journal of Business and Economic Statistics. 5(4). 454–454. 63 indexed citations
20.
Runkle, David E.. (1987). Vector Autoregressions and Reality. Journal of Business and Economic Statistics. 5(4). 437–437. 149 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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