Saten Kumar

2.5k total citations · 2 hit papers
54 papers, 1.2k citations indexed

About

Saten Kumar is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance. According to data from OpenAlex, Saten Kumar has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in General Economics, Econometrics and Finance, 35 papers in Economics and Econometrics and 16 papers in Finance. Recurrent topics in Saten Kumar's work include Monetary Policy and Economic Impact (37 papers), Fiscal Policy and Economic Growth (15 papers) and Economic Theory and Policy (11 papers). Saten Kumar is often cited by papers focused on Monetary Policy and Economic Impact (37 papers), Fiscal Policy and Economic Growth (15 papers) and Economic Theory and Policy (11 papers). Saten Kumar collaborates with scholars based in New Zealand, United States and Italy. Saten Kumar's co-authors include Olivier Coibion, Yuriy Gorodnichenko, Mathieu Pedemonte, B. Bhaskara Rao, Don J. Webber, Hassan Afrouzi, Artur Tamazian, B. Bhaskara Rao, Antonio Paradiso and Muhammad Shahbaz and has published in prestigious journals such as American Economic Review, The Quarterly Journal of Economics and Econometrica.

In The Last Decade

Saten Kumar

52 papers receiving 1.1k citations

Hit Papers

How Do Firms Form Their Expectations? New Survey Evidence 2018 2026 2020 2023 2018 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saten Kumar New Zealand 16 947 780 320 176 90 54 1.2k
Apostolis Philippopoulos Greece 22 1.1k 1.1× 417 0.5× 209 0.7× 104 0.6× 103 1.1× 93 1.3k
Paolo Surico United Kingdom 30 1.8k 1.9× 1.6k 2.0× 905 2.8× 348 2.0× 83 0.9× 81 2.4k
Matteo Ciccarelli Germany 22 1.2k 1.2× 1.1k 1.3× 947 3.0× 176 1.0× 80 0.9× 70 1.8k
David Gowland United Kingdom 7 829 0.9× 510 0.7× 318 1.0× 197 1.1× 25 0.3× 23 1.1k
Harald Badinger Austria 21 980 1.0× 598 0.8× 256 0.8× 80 0.5× 26 0.3× 66 1.3k
Keith Pılbeam United Kingdom 16 661 0.7× 440 0.6× 423 1.3× 173 1.0× 43 0.5× 52 970
Lorenzo Forni Italy 17 1.9k 2.0× 949 1.2× 674 2.1× 250 1.4× 22 0.2× 53 2.2k
Ing-Haw Cheng United States 16 629 0.7× 190 0.2× 524 1.6× 340 1.9× 71 0.8× 32 966
Paul Evans United States 22 2.0k 2.2× 1.1k 1.4× 282 0.9× 228 1.3× 62 0.7× 53 2.2k

Countries citing papers authored by Saten Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Saten Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saten Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Saten Kumar. A scholar is included among the top collaborators of Saten Kumar 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 Saten Kumar. Saten Kumar 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.
Weber, Michael, Bernardo Candia, Hassan Afrouzi, et al.. (2025). Tell Me Something I Don't Already Know: Learning in Low‐ and High‐Inflation Settings. Econometrica. 93(1). 229–264. 9 indexed citations
2.
Weber, Michael, Bernardo Candia, Hassan Afrouzi, et al.. (2024). Tell Me Something I Don't Already Know: Learning in Low and High-Inflation Settings. SSRN Electronic Journal. 6 indexed citations
3.
Weber, Michael, Tiziano Ropele, Brent Meyer, et al.. (2023). Tell Me Something I Don't Already Know: Learning in Low and High-Inflation Settings. SSRN Electronic Journal. 10 indexed citations
4.
Weber, Michael, Dimitris Georgarakos, Bernardo Candia, et al.. (2023). Tell Me Something I Don’t Already Know: Learning in Low and High-Inflation Settings. SSRN Electronic Journal. 7 indexed citations
5.
Weber, Michael, Bernardo Candia, Tiziano Ropele, et al.. (2023). Tell Me Something I Don't Already Know: Learning in Low and High-Inflation Settings. SSRN Electronic Journal. 14 indexed citations
6.
Coibion, Olivier, Yuriy Gorodnichenko, Saten Kumar, & Mathieu Pedemonte. (2020). Inflation expectations as a policy tool?. Journal of International Economics. 124. 103297–103297. 203 indexed citations breakdown →
7.
Kumar, Saten, et al.. (2019). Testing for structural changes in the Wagner’s Law for a sample of East Asian countries. Empirical Economics. 59(4). 1959–1976. 5 indexed citations
8.
Kumar, Saten, Hassan Afrouzi, Olivier Coibion, & Yuriy Gorodnichenko. (2015). Inflation Targeting Does Not Anchor Inflation Expectations: Evidence from Firms in New Zealand. Brookings Papers on Economic Activity. 2015(2). 151–225. 134 indexed citations
9.
Kumar, Saten. (2014). Money demand income elasticity in advanced and developing countries: new evidence from meta-analysis. Applied Economics. 46(16). 1873–1882. 4 indexed citations
10.
Kumar, Saten. (2012). Financial Reforms and Money Demand: Evidence from 20 Developing Countries. SSRN Electronic Journal. 1 indexed citations
11.
Kumar, Saten. (2012). Systems GMM estimates of the health care spending and GDP relationship: a note. The European Journal of Health Economics. 14(3). 503–506. 16 indexed citations
12.
Kumar, Saten & B. Bhaskara Rao. (2012). Error-correction based panel estimates of the demand for money of selected Asian countries with the extreme bounds analysis. Economic Modelling. 29(4). 1181–1188. 12 indexed citations
13.
Kumar, Saten, et al.. (2011). Wagner's Law revisited: cointegration and causality tests for New Zealand. Applied Economics. 44(5). 607–616. 62 indexed citations
14.
Kumar, Saten. (2010). Panel Data Estimates of the Demand for Money in the Pacific Island Countries. Econstor (Econstor). 2 indexed citations
15.
Kumar, Saten. (2010). Efficacy of Monetary Policy in Curtailing Consumption: Empirical Evidence from Fiji. SSRN Electronic Journal. 60–68. 1 indexed citations
16.
Kumar, Saten & Gail Pacheco. (2010). What Determines the Long run Growth in Kenya. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 1 indexed citations
17.
Kumar, Saten, Gail Pacheco, & Stephanié Rossouw. (2010). How to Increase the Growth Rate in South Africa. Econstor (Econstor). 1 indexed citations
18.
Rao, B. Bhaskara, Artur Tamazian, & Saten Kumar. (2010). Systems GMM estimates of the Feldstein–Horioka puzzle for the OECD countries and tests for structural breaks. Economic Modelling. 27(5). 1269–1273. 41 indexed citations
19.
Kumar, Saten. (2007). The Stability of Demand for Money in Bangladesh: Time Series Methods. RePEc: Research Papers in Economics. 27–35. 4 indexed citations
20.
Anoruo, Emmanuel, et al.. (2007). A Cointegration Analysis of Investment Output Ratio in Bangladesh. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 4 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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