Saeid Mahdavi

958 total citations
22 papers, 706 citations indexed

About

Saeid Mahdavi is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Political Science and International Relations. According to data from OpenAlex, Saeid Mahdavi has authored 22 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 12 papers in General Economics, Econometrics and Finance and 6 papers in Political Science and International Relations. Recurrent topics in Saeid Mahdavi's work include Monetary Policy and Economic Impact (12 papers), Fiscal Policy and Economic Growth (11 papers) and Fiscal Policies and Political Economy (6 papers). Saeid Mahdavi is often cited by papers focused on Monetary Policy and Economic Impact (12 papers), Fiscal Policy and Economic Growth (11 papers) and Fiscal Policies and Political Economy (6 papers). Saeid Mahdavi collaborates with scholars based in United States, Sweden and Australia. Saeid Mahdavi's co-authors include Su Zhou, Ahmad Sohrabian and Joakim Westerlund and has published in prestigious journals such as World Development, Southern Economic Journal and Economic Modelling.

In The Last Decade

Saeid Mahdavi

21 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeid Mahdavi United States 13 613 363 125 98 72 22 706
Guillermo Vuletin United States 13 656 1.1× 446 1.2× 253 2.0× 80 0.8× 83 1.2× 48 824
Ashfaque H. Khan Pakistan 17 505 0.8× 519 1.4× 241 1.9× 27 0.3× 117 1.6× 55 772
Bernardin Akitoby United States 12 441 0.7× 176 0.5× 71 0.6× 76 0.8× 52 0.7× 39 532
Asmaa El-Ganainy United States 8 349 0.6× 190 0.5× 158 1.3× 61 0.6× 59 0.8× 19 518
Gisle James Natvik Norway 9 389 0.6× 270 0.7× 163 1.3× 55 0.6× 52 0.7× 28 489
Frank S. Russek United States 12 733 1.2× 492 1.4× 131 1.0× 62 0.6× 119 1.7× 17 800
Prabirjit Sarkar United Kingdom 12 344 0.6× 279 0.8× 72 0.6× 57 0.6× 96 1.3× 60 570
Margarita Katsimi Greece 11 369 0.6× 183 0.5× 113 0.9× 131 1.3× 46 0.6× 35 486
Patrizio Tirelli Italy 15 559 0.9× 425 1.2× 192 1.5× 45 0.5× 75 1.0× 63 682
Ari Aisen United States 12 382 0.6× 249 0.7× 219 1.8× 46 0.5× 87 1.2× 28 562

Countries citing papers authored by Saeid Mahdavi

Since Specialization
Citations

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

Fields of papers citing papers by Saeid Mahdavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeid Mahdavi

This figure shows the co-authorship network connecting the top 25 collaborators of Saeid Mahdavi. A scholar is included among the top collaborators of Saeid Mahdavi 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 Saeid Mahdavi. Saeid Mahdavi 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.
Mahdavi, Saeid & Joakim Westerlund. (2018). Subnational government tax revenue capacity and effort convergence: New evidence from sequential unit root tests. Economic Modelling. 73. 174–183. 6 indexed citations
2.
Mahdavi, Saeid. (2013). Bohn's Test of Fiscal Sustainability of the American State Governments. Southern Economic Journal. 80(4). 1028–1054. 31 indexed citations
3.
Mahdavi, Saeid, et al.. (2012). Public expenditures and the unemployment rate in the American states: panel evidence. Applied Economics. 45(20). 2926–2937. 15 indexed citations
4.
Mahdavi, Saeid. (2011). A re‐examination of Wagner's Law using US total state and local expenditure and its sub‐categories. Journal of Economic Studies. 38(4). 398–413. 4 indexed citations
5.
Mahdavi, Saeid & Joakim Westerlund. (2011). Fiscal stringency and fiscal sustainability: Panel evidence from the American state and local governments. Journal of Policy Modeling. 33(6). 953–969. 54 indexed citations
6.
Westerlund, Joakim, et al.. (2010). The tax-spending nexus: Evidence from a panel of US state–local governments. Economic Modelling. 28(3). 885–890. 32 indexed citations
7.
Mahdavi, Saeid. (2008). The level and composition of tax revenue in developing countries: Evidence from unbalanced panel data. International Review of Economics & Finance. 17(4). 607–617. 107 indexed citations
8.
Mahdavi, Saeid. (2004). Shifts in the Composition of Government Spending in Response to External Debt Burden. World Development. 32(7). 1139–1157. 68 indexed citations
9.
Mahdavi, Saeid. (2002). The response of the US export prices to changes in the dollar's effective exchange rate: further evidence from industry level data. Applied Economics. 34(17). 2115–2125. 19 indexed citations
10.
Mahdavi, Saeid. (2000). Do German, Japanese, and U.S. export prices asymmetrically respond to exchange rate changes? Evidence from aggregate data. Contemporary Economic Policy. 18(1). 70–81. 14 indexed citations
11.
Mahdavi, Saeid & Su Zhou. (1998). Simple vs. Generalized Interest Rate and Purchasing Power Parity Models of Exchange Rates. SSRN Electronic Journal. 2 indexed citations
12.
Mahdavi, Saeid & Su Zhou. (1997). Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance. Journal of Economics and Business. 49(5). 475–489. 132 indexed citations
13.
Zhou, Su & Saeid Mahdavi. (1996). Simple vs. generalized interest rate and purchasing power parity models of exchange rates. The Quarterly Review of Economics and Finance. 36(2). 197–218. 5 indexed citations
14.
Mahdavi, Saeid. (1995). Some Empirical Evidence on the Temporal Relationships between Foreign Inflows and Aggregate Spending Categories in the United States. Journal of Post Keynesian Economics. 18(1). 125–139. 1 indexed citations
15.
Mahdavi, Saeid, et al.. (1994). Cointegration and Error Correction Models: The Temporal Causality between Investment and Corporate Cash Flow. Journal of Post Keynesian Economics. 16(3). 478–498. 8 indexed citations
16.
Mahdavi, Saeid & Ahmad Sohrabian. (1993). The exchange value of the dollar and the U.S. trade balance: An empirical investigation based on cointegradon and Granger causality tests. The Quarterly Review of Economics and Finance. 33(4). 343–358. 54 indexed citations
17.
Sohrabian, Ahmad, et al.. (1993). The investment-cash flow linkage revisited: Evidence from aggregate data and multivariate Granger-causality tests. The Quarterly Review of Economics and Finance. 33(2). 155–169. 4 indexed citations
18.
Mahdavi, Saeid & Ahmad Sohrabian. (1991). The Link between the Rate of Growth of Stock Prices and the Rate of Growth of GNP in the United States: A Granger Causality Test. The American Economist. 35(2). 41–48. 31 indexed citations
19.
20.
Mahdavi, Saeid. (1990). A Simultaneous‐equations Model of Cross‐national Differentials in Fertility and Female Labourforce Participation Rates. Journal of Economic Studies. 17(2). 32–49. 12 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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