Michael R.M. Abrigo

36.7k total citations · 1 hit paper
18 papers, 829 citations indexed

About

Michael R.M. Abrigo is a scholar working on Economics and Econometrics, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Michael R.M. Abrigo has authored 18 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 7 papers in Sociology and Political Science and 5 papers in General Health Professions. Recurrent topics in Michael R.M. Abrigo's work include Economic Growth and Productivity (5 papers), Global Health Care Issues (5 papers) and Disaster Management and Resilience (4 papers). Michael R.M. Abrigo is often cited by papers focused on Economic Growth and Productivity (5 papers), Global Health Care Issues (5 papers) and Disaster Management and Resilience (4 papers). Michael R.M. Abrigo collaborates with scholars based in Philippines, United States and Malaysia. Michael R.M. Abrigo's co-authors include Inessa Love, Qing Miao, Yilin Hou, Sang-Hyop Lee, Donghyun Park, Yi Lu, Can Chen, Naohiro Ogawa, Jhanna Uy and Norma Mansor and has published in prestigious journals such as Epidemiology and Infection, The Stata Journal Promoting communications on statistics and Stata and International Journal of Disaster Risk Reduction.

In The Last Decade

Michael R.M. Abrigo

18 papers receiving 795 citations

Hit Papers

Estimation of Panel Vector Autoregression in Stata 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R.M. Abrigo Philippines 7 554 154 145 140 101 18 829
Serhan Cevik United States 19 666 1.2× 195 1.3× 245 1.7× 161 1.1× 198 2.0× 142 1.0k
Hakan Yetkiner Türkiye 16 733 1.3× 75 0.5× 162 1.1× 229 1.6× 135 1.3× 32 1.0k
Peter Josef Stauvermann South Korea 18 570 1.0× 326 2.1× 82 0.6× 100 0.7× 85 0.8× 80 872
Ivan A. Canay United States 12 790 1.4× 113 0.7× 104 0.7× 220 1.6× 88 0.9× 27 1.4k
Ю.П. Лукашин 2 475 0.9× 151 1.0× 58 0.4× 123 0.9× 42 0.4× 2 817
Bazoumana Ouattara United Kingdom 18 553 1.0× 174 1.1× 74 0.5× 176 1.3× 64 0.6× 45 888
P. Srinivasan India 16 517 0.9× 255 1.7× 173 1.2× 179 1.3× 108 1.1× 72 918
Muhammad Shafiullah Malaysia 19 947 1.7× 158 1.0× 157 1.1× 163 1.2× 65 0.6× 38 1.2k
Aziz N. Berdiev United States 17 674 1.2× 164 1.1× 65 0.4× 103 0.7× 194 1.9× 36 855
Kazuhiko Hayakawa Japan 14 579 1.0× 80 0.5× 95 0.7× 181 1.3× 66 0.7× 55 724

Countries citing papers authored by Michael R.M. Abrigo

Since Specialization
Citations

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

Fields of papers citing papers by Michael R.M. Abrigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R.M. Abrigo. 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 Michael R.M. Abrigo. The network helps show where Michael R.M. Abrigo may publish in the future.

Co-authorship network of co-authors of Michael R.M. Abrigo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R.M. Abrigo. A scholar is included among the top collaborators of Michael R.M. Abrigo 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 Michael R.M. Abrigo. Michael R.M. Abrigo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Abrigo, Michael R.M., et al.. (2024). Compulsory kindergarten education and early teenage literacy in the Philippines. International Journal of Educational Development. 109. 103087–103087. 2 indexed citations
2.
Abrigo, Michael R.M., et al.. (2024). Residential electricity consumption over the demographic transition in the Philippines. The Journal of the Economics of Ageing. 27. 100503–100503. 1 indexed citations
3.
Miao, Qing, Michael R.M. Abrigo, Yilin Hou, & Yanjun Liao. (2022). Extreme Weather Events and Local Fiscal Responses: Evidence from U.S. Counties. RePEc: Research Papers in Economics. 7(1). 93–115. 5 indexed citations
4.
Abrigo, Michael R.M., et al.. (2021). Rational Choices and Welfare Changes in Philippine Family Energy Demand: Evidence from Family Income and Expenditure Surveys. SSRN Electronic Journal. 1 indexed citations
5.
Ogawa, Naohiro, Norma Mansor, Sang-Hyop Lee, Michael R.M. Abrigo, & Tahir Aris. (2021). Population Aging and the Three Demographic Dividends in Asia. Asian Development Review. 38(1). 32–67. 26 indexed citations
6.
Abrigo, Michael R.M., et al.. (2021). Residential Electricity Consumption over the Demographic Transition in the Philippines. SSRN Electronic Journal. 2 indexed citations
7.
Uy, Jhanna, et al.. (2020). Epidemiological profile and transmission dynamics of COVID-19 in the Philippines. Epidemiology and Infection. 148. e204–e204. 18 indexed citations
8.
Abrigo, Michael R.M., et al.. (2020). Localized disaster risk management index for the Philippines: Is your municipality ready for the next disaster?. International Journal of Disaster Risk Reduction. 51. 101913–101913. 16 indexed citations
9.
Miao, Qing, Can Chen, Yi Lu, & Michael R.M. Abrigo. (2019). Natural Disasters and Financial Implications for Subnational Governments: Evidence from China. Public Finance Review. 48(1). 72–101. 30 indexed citations
10.
Abrigo, Michael R.M., Sang-Hyop Lee, & Donghyun Park. (2018). Human Capital Spending, Inequality, and Growth in Middle-Income Asia. Emerging Markets Finance and Trade. 54(6). 1285–1303. 25 indexed citations
11.
Miao, Qing, Yilin Hou, & Michael R.M. Abrigo. (2018). MEASURING THE FINANCIAL SHOCKS OF NATURAL DISASTERS. National Tax Journal. 71(1). 11–44. 43 indexed citations
12.
Abrigo, Michael R.M., et al.. (2018). Decentralization and Health in the Philippines: A Systematic Review of Empirical Evidences. Econstor (Econstor). 2 indexed citations
13.
Abrigo, Michael R.M., Sang-Hyop Lee, & Donghyun Park. (2017). Human Capital Spending, Inequality, and Growth in Middle-Income Asia. SSRN Electronic Journal. 1 indexed citations
14.
Abrigo, Michael R.M. & Inessa Love. (2016). Estimation of Panel Vector Autoregression in Stata. The Stata Journal Promoting communications on statistics and Stata. 16(3). 778–804. 648 indexed citations breakdown →
15.
Abrigo, Michael R.M., Rachel H. Racelis, J. M. Ian Salas, & Alejandro N. Herrin. (2016). Decomposing economic gains from population age structure transition in the Philippines. The Journal of the Economics of Ageing. 8. 19–27. 6 indexed citations
16.
Abrigo, Michael R.M., et al.. (2014). Estimating the Efficiency of Philippine Public High Schools Using Spatio-Temporal Stochastic Frontier Analysis. DLSU Business & Economics Review. 23(2). 1 indexed citations
17.
Racelis, Rachel H., Michael R.M. Abrigo, & J. M. Ian Salas. (2014). Financing consumption over the lifecycle and overseas workers’ remittances: Findings from the 1999 and 2007 Philippine National Transfer Accounts. The Journal of the Economics of Ageing. 5. 69–78. 1 indexed citations
18.
Orbeta, Aniceto & Michael R.M. Abrigo. (2012). An Assessment of TESDA Scholarship Programs. Econstor (Econstor). 1 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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