Gerdie Everaert

1.4k total citations
35 papers, 933 citations indexed

About

Gerdie Everaert is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Gerdie Everaert has authored 35 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Economics and Econometrics, 21 papers in General Economics, Econometrics and Finance and 5 papers in Finance. Recurrent topics in Gerdie Everaert's work include Monetary Policy and Economic Impact (21 papers), Fiscal Policy and Economic Growth (18 papers) and Economic Growth and Productivity (8 papers). Gerdie Everaert is often cited by papers focused on Monetary Policy and Economic Impact (21 papers), Fiscal Policy and Economic Growth (18 papers) and Economic Growth and Productivity (8 papers). Gerdie Everaert collaborates with scholars based in Belgium, Netherlands and Germany. Gerdie Everaert's co-authors include Lorenzo Pozzi, Maarten Dossche, Freddy Heylen, Ilse Ruyssen, Tino Berger, Glenn Rayp, Markus Eberhardt and Vasilis Sarafidis and has published in prestigious journals such as Journal of International Economics, Journal of Business and Economic Statistics and Journal of International Money and Finance.

In The Last Decade

Gerdie Everaert

35 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerdie Everaert Belgium 16 752 399 176 79 72 35 933
Berthold Herrendorf United States 16 979 1.3× 514 1.3× 126 0.7× 38 0.5× 117 1.6× 49 1.2k
Andreas Billmeier United States 11 484 0.6× 337 0.8× 233 1.3× 82 1.0× 109 1.5× 26 750
Héctor Sala Spain 19 729 1.0× 391 1.0× 89 0.5× 52 0.7× 78 1.1× 83 885
Alexandru Minea France 18 865 1.2× 386 1.0× 164 0.9× 96 1.2× 42 0.6× 67 1.0k
Delano Villanueva United States 14 964 1.3× 479 1.2× 160 0.9× 95 1.2× 114 1.6× 32 1.2k
Ramana Ramaswamy United States 13 544 0.7× 479 1.2× 245 1.4× 41 0.5× 58 0.8× 33 789
Sugata Ghosh United Kingdom 9 707 0.9× 212 0.5× 142 0.8× 177 2.2× 56 0.8× 36 862
Gulasekaran Rajaguru Australia 13 368 0.5× 261 0.7× 180 1.0× 44 0.6× 75 1.0× 55 575
Sarantis Kalyvitis Greece 17 514 0.7× 247 0.6× 175 1.0× 42 0.5× 109 1.5× 57 785
Vikram Nehru United States 8 563 0.7× 231 0.6× 133 0.8× 30 0.4× 120 1.7× 16 760

Countries citing papers authored by Gerdie Everaert

Since Specialization
Citations

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

Fields of papers citing papers by Gerdie Everaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerdie Everaert

This figure shows the co-authorship network connecting the top 25 collaborators of Gerdie Everaert. A scholar is included among the top collaborators of Gerdie Everaert 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 Gerdie Everaert. Gerdie Everaert 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.
Berger, Tino, Gerdie Everaert, & Lorenzo Pozzi. (2021). Testing for international business cycles: A multilevel factor model with stochastic factor selection. Journal of Economic Dynamics and Control. 128. 104134–104134. 8 indexed citations
2.
Everaert, Gerdie & Lorenzo Pozzi. (2021). Encompassing measures of international consumption risk sharing and their link with trade and financial globalization. Journal of Applied Econometrics. 37(2). 433–449. 1 indexed citations
3.
Everaert, Gerdie, et al.. (2019). Bias-Corrected Common Correlated Effects Pooled Estimation in Dynamic Panels. Journal of Business and Economic Statistics. 39(1). 294–306. 16 indexed citations
4.
Everaert, Gerdie, et al.. (2017). On the estimation of panel fiscal reaction functions: Heterogeneity or fiscal fatigue?. Economic Modelling. 70. 87–96. 19 indexed citations
5.
Everaert, Gerdie, et al.. (2016). On the Stability of the Excess Sensitivity of Aggregate Consumption Growth in the USA. Journal of Applied Econometrics. 32(4). 819–840. 2 indexed citations
6.
Everaert, Gerdie, et al.. (2016). Demographics and Business Cycle Volatility: A Spurious Relationship?. Journal of Applied Econometrics. 31(7). 1467–1477. 6 indexed citations
7.
Ruyssen, Ilse, et al.. (2015). XTBCFE: Stata module to perform bootstrap-corrected Fixed Effects estimation and inference in dynamic panel models. RePEc: Research Papers in Economics. 2 indexed citations
8.
Everaert, Gerdie, et al.. (2015). Bootstrap-based Bias Correction and Inference for Dynamic Panels with Fixed Effects. The Stata Journal Promoting communications on statistics and Stata. 15(4). 986–1018. 61 indexed citations
9.
Everaert, Gerdie. (2014). A panel analysis of the fisher effect with an unobserved I(1) world real interest rate. Economic Modelling. 41. 198–210. 14 indexed citations
10.
Everaert, Gerdie, et al.. (2014). Fiscal policy and TFP in the OECD: measuring direct and indirect effects. Empirical Economics. 49(2). 605–640. 19 indexed citations
11.
Everaert, Gerdie & Lorenzo Pozzi. (2013). THE PREDICTABILITY OF AGGREGATE CONSUMPTION GROWTH IN OECD COUNTRIES: A PANEL DATA ANALYSIS. Journal of Applied Econometrics. 29(3). 431–453. 15 indexed citations
12.
Everaert, Gerdie. (2012). Orthogonal to backward mean transformation for dynamic panel data models. Econometrics Journal. 16(2). 179–221. 14 indexed citations
13.
Ruyssen, Ilse, Gerdie Everaert, & Glenn Rayp. (2012). Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework. Empirical Economics. 46(1). 175–197. 37 indexed citations
14.
Everaert, Gerdie. (2011). Estimation and Inference in Time Series with Omitted I(1) Variables. Ghent University Academic Bibliography (Ghent University). 2(2). 15 indexed citations
15.
Berger, Tino & Gerdie Everaert. (2011). IS THE IMPACT OF LABOR TAXES ON UNEMPLOYMENT ASYMMETRIC?. Macroeconomic Dynamics. 17(1). 143–154. 3 indexed citations
16.
Everaert, Gerdie & Lorenzo Pozzi. (2006). Bootstrap-based bias correction for dynamic panels. Journal of Economic Dynamics and Control. 31(4). 1160–1184. 161 indexed citations
17.
Everaert, Gerdie. (2002). Balanced growth and public capital: an empirical analysis with I(2) trends in capital stock data. Economic Modelling. 20(4). 741–763. 32 indexed citations
18.
Everaert, Gerdie. (2001). Infrequent Large Shocks to Unemployment: New Evidence on Alternative Persistence Perspectives. Labour. 15(4). 555–577. 20 indexed citations
19.
Everaert, Gerdie. (1999). Shifts in balanced growth and public capital: an empirical analysis for Belgium. Ghent University Academic Bibliography (Ghent University). 99(65). 1–21. 13 indexed citations
20.
Everaert, Gerdie & Freddy Heylen. (1998). Public capital and productivity growth in Belgium. Ghent University Academic Bibliography (Ghent University). 8 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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