Peter Pedroni

21.6k total citations · 4 hit papers
20 papers, 14.1k citations indexed

About

Peter Pedroni is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Peter Pedroni has authored 20 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 11 papers in General Economics, Econometrics and Finance and 7 papers in Finance. Recurrent topics in Peter Pedroni's work include Monetary Policy and Economic Impact (10 papers), Market Dynamics and Volatility (7 papers) and Global Financial Crisis and Policies (5 papers). Peter Pedroni is often cited by papers focused on Monetary Policy and Economic Impact (10 papers), Market Dynamics and Volatility (7 papers) and Global Financial Crisis and Policies (5 papers). Peter Pedroni collaborates with scholars based in United States, China and Mexico. Peter Pedroni's co-authors include David Canning, James Y. Yao, Peter J. Montiel, Prachi Mishra, Antonio Spilimbergo, Michael E. Wetzstein, Na Hao, Gregory Colson, Anna Ivanova and Jongrim Ha and has published in prestigious journals such as Journal of the American Statistical Association, The Review of Economics and Statistics and Journal of Development Economics.

In The Last Decade

Peter Pedroni

20 papers receiving 13.0k citations

Hit Papers

PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERT... 1999 2026 2008 2017 2004 1999 1999 2001 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Pedroni United States 12 12.2k 4.0k 4.0k 1.8k 1.8k 20 14.1k
Joakim Westerlund Sweden 36 10.2k 0.8× 2.8k 0.7× 3.6k 0.9× 1.8k 1.0× 1.5k 0.9× 140 11.8k
Kyung So Im United States 9 9.3k 0.8× 3.6k 0.9× 2.2k 0.6× 957 0.5× 933 0.5× 15 11.3k
Ron Smith United Kingdom 38 11.7k 1.0× 4.7k 1.2× 2.0k 0.5× 802 0.5× 808 0.5× 160 14.0k
Chien‐Fu Lin Taiwan 9 7.8k 0.6× 3.1k 0.8× 1.8k 0.4× 819 0.5× 731 0.4× 20 9.9k
Muhammad Umar China 68 12.9k 1.1× 1.9k 0.5× 5.7k 1.4× 2.4k 1.4× 1.8k 1.0× 231 15.6k
Chia-Shang James Chu United States 10 7.7k 0.6× 3.0k 0.8× 1.8k 0.4× 822 0.5× 732 0.4× 16 9.8k
Chi‐Wei Su China 57 9.3k 0.8× 1.9k 0.5× 3.3k 0.8× 897 0.5× 765 0.4× 387 11.7k
Paresh Kumar Narayan Australia 77 20.3k 1.7× 7.3k 1.8× 6.6k 1.7× 1.6k 0.9× 2.1k 1.2× 464 24.2k
Hooi Hooi Lean Malaysia 45 7.0k 0.6× 1.5k 0.4× 3.6k 0.9× 1.3k 0.8× 1.5k 0.8× 181 8.8k
Nicholas Apergis Greece 69 17.8k 1.5× 2.4k 0.6× 10.3k 2.6× 3.8k 2.1× 5.1k 2.9× 452 20.5k

Countries citing papers authored by Peter Pedroni

Since Specialization
Citations

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

Fields of papers citing papers by Peter Pedroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Pedroni

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Pedroni. A scholar is included among the top collaborators of Peter Pedroni 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 Peter Pedroni. Peter Pedroni 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.
Ha, Jongrim, Anna Ivanova, Peter J. Montiel, & Peter Pedroni. (2019). Inflation in Low-Income Countries. World Bank, Washington, DC eBooks. 8 indexed citations
2.
Montiel, Peter J. & Peter Pedroni. (2018). Trilemma-Dilemma: Constraint or Choice? Some Empirical Evidence from a Structurally Identified Heterogeneous Panel VAR. Open Economies Review. 30(1). 1–18. 7 indexed citations
3.
Hao, Na, Peter Pedroni, Gregory Colson, & Michael E. Wetzstein. (2017). The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis. Agricultural Economics. 48(5). 629–638. 19 indexed citations
4.
Pedroni, Peter, et al.. (2015). Crime and the Economy in Mexican States: Heterogeneous Panel Estimates (1993-2012). IMF Working Paper. 15(121). 1–1. 5 indexed citations
5.
Pedroni, Peter, et al.. (2015). Crime and the Economy in Mexican States: Heterogeneous Panel Estimates (1993-2012). SSRN Electronic Journal. 11 indexed citations
6.
Mishra, Prachi, Peter J. Montiel, Peter Pedroni, & Antonio Spilimbergo. (2014). Monetary policy and bank lending rates in low-income countries: Heterogeneous panel estimates. Journal of Development Economics. 111. 117–131. 66 indexed citations
7.
Pedroni, Peter. (2013). Structural Panel VARs. Econometrics. 1(2). 180–206. 87 indexed citations
8.
Pedroni, Peter, et al.. (2011). The Relationship between Illicit Coca Production and Formal Economic Activity in Peru. SSRN Electronic Journal. 3 indexed citations
9.
Canning, David & Peter Pedroni. (2008). INFRASTRUCTURE, LONG‐RUN ECONOMIC GROWTH AND CAUSALITY TESTS FOR COINTEGRATED PANELS. Manchester School. 76(5). 504–527. 295 indexed citations
10.
11.
Pedroni, Peter & James Y. Yao. (2006). Regional income divergence in China. Journal of Asian Economics. 17(2). 294–315. 94 indexed citations
12.
Pedroni, Peter. (2004). PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS. Econometric Theory. 20(3). 4710 indexed citations breakdown →
13.
Pedroni, Peter. (2004). PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO PPP HYPOTHESIS: NEW RESULTS. 20(3). 597–627. 229 indexed citations
14.
Pedroni, Peter, et al.. (2002). Cross Member Cointegration in Nonstationary Panels.. Data Archiving and Networked Services (DANS). 3 indexed citations
15.
Pedroni, Peter & James Y. Yao. (2002). Are China's Post-reform Provincial Income Levels Diverging? ¤. 4 indexed citations
16.
Pedroni, Peter. (2001). Testing Target-Zone Models Using Efficient Method of Moments: Comment. Journal of Business and Economic Statistics. 19(3). 271–273. 1 indexed citations
17.
Pedroni, Peter. (2001). Purchasing Power Parity Tests in Cointegrated Panels. The Review of Economics and Statistics. 83(4). 727–731. 1555 indexed citations breakdown →
18.
Pedroni, Peter. (2001). The Econometric Modelling of Financial Time Series. Journal of the American Statistical Association. 96(453). 339–355. 5 indexed citations
19.
Pedroni, Peter. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics. 61(s1). 653–670. 3564 indexed citations breakdown →
20.
Pedroni, Peter. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics. 61(s1). 653–670. 3283 indexed citations breakdown →

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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