Douglas G. Steigerwald

1.7k citations
31 papers · 571 indexed · h-index 12
Topics
Statistical Methods and Inference (10 papers)Monetary Policy and Economic Impact (10 papers)Financial Risk and Volatility Modeling (8 papers)

In The Last Decade

Douglas G. Steigerwald

29 papers receiving 525 citations

Peers

Douglas G. Steigerwald
Comparison fields: 5 of 97
  • Economics and Econometrics 277
  • Finance 208
  • General Economics, Econometrics and Finance 176
  • Statistics and Probability 100
  • General Agricultural and Biological Sciences 52
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Countries citing papers authored by Douglas G. Steigerwald

Since Specialization
Citations

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

Fields of papers citing papers by Douglas G. Steigerwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas G. Steigerwald. 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 Douglas G. Steigerwald. The network helps show where Douglas G. Steigerwald may publish in the future.

Co-authorship network of co-authors of Douglas G. Steigerwald

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas G. Steigerwald. A scholar is included among the top collaborators of Douglas G. Steigerwald 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 Douglas G. Steigerwald. Douglas G. Steigerwald 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
#WorkIndexed citations
1 1
2 0
3 6
4 81
5 1
6 48
7 6
8 11
9 2
10
Do Daylight-Saving Time Adjustments Really Impact Stock Returns?
0
11 10
12
Explaining Stochastic Volatility in Asset Prices
1
13 4
14 54
15
Consistency of Quasi-Maximum Likelihood Estimators for Models with Conditional Heteroskedasticity
1
16
Asymptotic Bias for Quasi-Maximum Likelihood Estimators in Models with Conditional Heteroskedasticity
2
17 10
18 20
19 2
20 11

About Douglas G. Steigerwald

Douglas G. Steigerwald is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Finance, having authored 31 papers that have together received 571 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Monetary Policy and Economic Impact (10 papers) and Financial Risk and Volatility Modeling (8 papers). The work is most often cited by research in General Economics, Econometrics and Finance (176 citations), Finance (208 citations) and Statistics and Probability (100 citations). Douglas G. Steigerwald has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Whitney K. Newey, Joon‐Ho Hahm, Kevin Schnepel, Hallie Eakin, Stuart Sweeney, Frank Davenport, John Pippenger, Jason Maier, Roland Geyer and David L. Kelly. Their work appears in journals such as Econometrica, Journal of Cleaner Production and The Review of Economics and Statistics.

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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