Anand Murugesan

Research output

Working papers

1. Anand Murugesan & Jean-Robert Tyran, 2023. "The Puzzling Practice of Paying “Cash for Votes”," CESifo Working Paper Series 10504, CESifo.
2. Vikram Dayal & Anand Murugesan, 2020. "Demystifying causal inference: ingredients of a recipe," IEG Working Papers 393, Institute of Economic Growth.

Articles

1. Centofanti, Tiziana & Murugesan, Anand, 2022. "Leader and citizens participation for the environment: Experimental evidence from Eastern Europe," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
2. Das, Sanghamitra & Dayal, Vikram & Murugesan, Anand & Rajarathnam, Uma, 2022. "Air pollution trade-offs in developing countries: an empirical model of health effects in Goa, India," Environment and Development Economics, Cambridge University Press, vol. 27(2), pages 145-166, April.
3. Vikram Dayal & Anand Murugesan & Tauhidur Rahman, 2022. "Drain on your health: Sanitation externalities from dirty drains in India," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2251-2273, November.

Chapters

1. Vikram Dayal & Anand Murugesan, 2023. "Experiments," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 81-108, Springer.
2. Vikram Dayal & Anand Murugesan, 2023. "Instrumental Variables," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 135-168, Springer.
3. Vikram Dayal & Anand Murugesan, 2023. "Integrating and Generalizing Causal Estimates," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 255-294, Springer.
4. Vikram Dayal & Anand Murugesan, 2023. "John Snow and Causal Inference," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 1-17, Springer.
5. Vikram Dayal & Anand Murugesan, 2023. "Regression and Simulation," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 33-54, Springer.
6. Vikram Dayal & Anand Murugesan, 2023. "Difference-in-Differences," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 227-253, Springer.
7. Vikram Dayal & Anand Murugesan, 2023. "Matching," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 109-134, Springer.
8. Vikram Dayal & Anand Murugesan, 2023. "Regression Discontinuity Design," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 169-192, Springer.
9. Vikram Dayal & Anand Murugesan, 2023. "Potential Outcomes," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 55-64, Springer.
10. Vikram Dayal & Anand Murugesan, 2023. "RStudio and R," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 19-31, Springer.
11. Vikram Dayal & Anand Murugesan, 2023. "Causal Graphs," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 65-80, Springer.
12. Vikram Dayal & Anand Murugesan, 2023. "Panel Data and Fixed Effects," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 193-226, Springer.

Books

1. Vikram Dayal & Anand Murugesan, 2023. "Demystifying Causal Inference," Springer Books, Springer, number 978-981-99-3905-3, September.