Philip Du Caju

2.3k total citations
64 papers, 1.7k citations indexed

About

Philip Du Caju is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Philip Du Caju has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Economics and Econometrics, 18 papers in General Economics, Econometrics and Finance and 14 papers in Finance. Recurrent topics in Philip Du Caju's work include Labor market dynamics and wage inequality (46 papers), Firm Innovation and Growth (23 papers) and Housing, Finance, and Neoliberalism (12 papers). Philip Du Caju is often cited by papers focused on Labor market dynamics and wage inequality (46 papers), Firm Innovation and Growth (23 papers) and Housing, Finance, and Neoliberalism (12 papers). Philip Du Caju collaborates with scholars based in Belgium, Germany and Ireland. Philip Du Caju's co-authors include Julián Messina, Martina Lawless, Θεοδώρα Κοσμά, Tairi Rõõm, Jan Babecký, Erwan Gautier, Daphné Momferatou, Melanie E. Ward-Warmedinger, Catherine Fuss and Ladislav Wintr and has published in prestigious journals such as Industrial and Labor Relations Review, Journal of the European Economic Association and Labour Economics.

In The Last Decade

Philip Du Caju

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Du Caju Belgium 24 1.3k 849 467 229 194 64 1.7k
Ana Lamo Germany 20 867 0.7× 503 0.6× 233 0.5× 164 0.7× 87 0.4× 59 1.1k
Martina Lawless Ireland 18 734 0.6× 406 0.5× 217 0.5× 123 0.5× 230 1.2× 63 1.1k
S. J. Nickell United Kingdom 20 1.5k 1.1× 628 0.7× 211 0.5× 277 1.2× 174 0.9× 35 1.9k
John Driffill United Kingdom 17 1.7k 1.3× 1.2k 1.5× 935 2.0× 214 0.9× 113 0.6× 55 2.5k
Alexander Hijzen France 19 825 0.6× 597 0.7× 62 0.1× 204 0.9× 142 0.7× 48 1.2k
Seppo Honkapohja United Kingdom 9 1.3k 1.0× 575 0.7× 319 0.7× 209 0.9× 86 0.4× 22 1.8k
Alessandro Turrini Belgium 20 1.2k 0.9× 665 0.8× 262 0.6× 75 0.3× 78 0.4× 79 1.5k
Amar K. Parai United States 7 2.0k 1.5× 631 0.7× 109 0.2× 240 1.0× 135 0.7× 24 2.2k
Mario Izquierdo Spain 18 673 0.5× 363 0.4× 207 0.4× 212 0.9× 119 0.6× 102 1.0k
Alan Carruth United Kingdom 17 896 0.7× 352 0.4× 255 0.5× 70 0.3× 100 0.5× 30 1.1k

Countries citing papers authored by Philip Du Caju

Since Specialization
Citations

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

Fields of papers citing papers by Philip Du Caju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Du Caju. 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 Philip Du Caju. The network helps show where Philip Du Caju may publish in the future.

Co-authorship network of co-authors of Philip Du Caju

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Du Caju. A scholar is included among the top collaborators of Philip Du Caju 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 Philip Du Caju. Philip Du Caju 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.
Caju, Philip Du, et al.. (2017). Low interest rates and their impact on Belgian households. Econometric Reviews. 43–59. 1 indexed citations
2.
Caju, Philip Du. (2016). The distribution of household wealth in Belgium: initial findings of the second wave of the Household Finance and Consumption Survey (HFCS). Econometric Reviews. 27–43.
3.
Caju, Philip Du, et al.. (2014). Household indebtedness : evolution and distribution. Econometric Reviews. 61–81.
4.
Bover, Olympia, José María Casado, Sónia Costa, et al.. (2013). The distribution of debt across euro area countries : The role of individual characteristics, institutions and credit conditions. National Bank of Belgium Working Paper No. 252, December 2013. Journal of Neurosurgical Anesthesiology. 11(2). 119–23. 2 indexed citations
5.
Caju, Philip Du, Θεοδώρα Κοσμά, Martina Lawless, Julián Messina, & Tairi Rõõm. (2013). Why Firms Avoid Cutting Wages: Survey Evidence from European Firms. SSRN Electronic Journal. 11 indexed citations
6.
Bover, Olympia, José María Casado, Sónia Costa, et al.. (2013). The Distribution of Debt Across Euro Area Countries: The Role of Individual Characteristics, Institutions and Credit Conditions. SSRN Electronic Journal. 41 indexed citations
7.
Caju, Philip Du, Catherine Fuss, & Ladislav Wintr. (2012). Downward Wage Regidity for Different Workers and Firms. Brussels economic review. 55(1). 5–32. 5 indexed citations
8.
Caju, Philip Du. (2012). Asset formation by households during the financial crisis. Econometric Reviews. 32(3-4). 87–100. 3 indexed citations
9.
Rycx, François, Philip Du Caju, & Ilan Tojerow. (2011). Inter-industry wage differentials: How much does rent sharing matter?. ULB Institutional Repository. 3 indexed citations
10.
Messina, Julián, et al.. (2010). The Incidence of Nominal and Real Wage Rigidity: An Individual-Based Sectoral Approach. SSRN Electronic Journal. 91 indexed citations
11.
Lamo, Ana, et al.. (2010). Inter-Industry Wage Differentials in EU Countries: What Do Cross-Country Time Varying Data Add to the Picture?. SSRN Electronic Journal. 16 indexed citations
12.
Babecký, Jan, Philip Du Caju, Θεοδώρα Κοσμά, et al.. (2010). Downward Nominal and Real Wage Rigidity: Survey Evidence from European Firms*. Scandinavian Journal of Economics. 112(4). 884–910. 92 indexed citations
13.
Κοσμά, Θεοδώρα, Jan Babecký, Philip Du Caju, et al.. (2010). Downward Nominal and Real Wage Rigidity: Survey Evidence from European Firms. SSRN Electronic Journal. 2 indexed citations
14.
Caju, Philip Du, Catherine Fuss, & Ladislav Wintr. (2009). Understanding sectoral differences in downward real wage rigidity: workforce composition, institutions, technology and competition. NBB Working Papers. No. 156, 19 February 2009. 6 indexed citations
15.
Babecký, Jan, Philip Du Caju, Θεοδώρα Κοσμά, et al.. (2009). The Margins of Labour Cost Adjustment: Survey Evidence from European Firms. SSRN Electronic Journal. 51 indexed citations
16.
Druant, Martine, et al.. (2008). Results of the Bank’s survey of wage-setting in Belgian firms. Econometric Reviews. 49–73. 5 indexed citations
17.
Caju, Philip Du, François Rycx, & Ilan Tojerow. (2008). Rent-Sharing and the Cyclicality of Wage Differentials. RePEc: Research Papers in Economics. 2 indexed citations
18.
Caju, Philip Du, Erwan Gautier, Daphné Momferatou, & Melanie E. Ward-Warmedinger. (2008). Institutional Features of Wage Bargaining in 23 European Countries, the US and Japan. SSRN Electronic Journal. 36 indexed citations
19.
Vanneste, Jacques, et al.. (1998). Leidt een vermindering van bijdragen van Sociale Zekerheid tot meer werkgelegenheid in België. Brussels economic review. 157. 35–63. 1 indexed citations
20.
Bruyne, Guido De, et al.. (1998). Taxation and labour market performance: a new-Keynesian approach. Brussels economic review. 157. 3–33. 3 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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