Measuring, explaining, and controlling tax evasion: lessons from theory, experiments, and field studies
By James Alm. 2012
589 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Gender Studies, Safety Research
View Paper: https://www.semanticscholar.org/paper/3aed200709d29e25a0770b548b86e32816bff2ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- James Alm
- Stephan Muehlbacher
- Keith Walsh
- E. Kirchler
- J. Martínez-Vázquez
- Chandler McClellan
- R. Christian
- Johannes Spinnewijn
In Gender Studies
- Stephan Muehlbacher
- Chandler McClellan
- E. Kirchler
- J. Martínez-Vázquez
- Keith Walsh
- Johannes Spinnewijn
- Teodora Tsankova
- J. De Neve
In Safety Research
- Stephan Muehlbacher
- James Alm
- Keith Walsh
- E. Kirchler
- J. Martínez-Vázquez
- Chandler McClellan
- R. Christian
- Teodora Tsankova
Citations in the corpus
- Corruption and firm tax evasion (2016, methodology): “…employ both instrumental variables methods and propensity score matching 2 See Cowell (1990), Andreoni, Erard, and Feinstein (1998), Slemrod and Yitzhaki (2002), Sandmo (2005, 2012), Slemrod (2007), Torgler (2007), and Alm (2012) for comprehensive surveys and assessments of the evasion literature.”
- WHAT MOTIVATES TAX COMPLIANCE? (2018, unknown): “…some 7 See: Cowell (1990), Pyle (1991), Andreoni, Erard, and Feinstein (1998), Alm (1999), Richardson and Sawyer (2001), Slemrod and Yitzhaki (2002), Kirchler (2007), Slemrod (2007), Torgler (2007), Alm (2012), Sandmo (2012), Slemrod and Weber (2012), and Hashimzade, Myles, and Tran-Nam (2013).”
- Combining Psychology and Economics in the Analysis of Compliance: From Enforcement to Cooperation (2012, methodology): “While the deterent effects of audits and sanctions have often been shown in lab experiments (Alm, Sanchez, and de Juan, 1995), even in the artificial laboratory situation – where morality plays a subordinate role – their influence is often less than expected. Other variables also often have mixed ef”
- How to Improve Tax Compliance? Evidence from Population-Wide Experiments in Belgium (2019, methodology): “To discipline our analysis of treatment effect heterogeneity, we use the causal forest algorithm created by Wager and Athey (2018).(25) Figure 4 plots the dispersion of the treatment effects by treatment category (bin size is set to 0.”
- Empathy, sympathy, and tax compliance (2014, background): “Comparative statics analysis is straightforward and (largely) intuitive (Alm, 2012).”
- Understanding Taxpayer Behaviour – New Opportunities for Tax Administration (2012, background): “24 Alm (2012) provides an overview of a related strand of the literature, on the use of laboratory experiments to test theories on tax compliance.”
- Taxes, corruption, and entry (2016, unknown): “Although many countries have adopted VAT, individuals might not register their business Footnote 2 continued to lower tax liability, or register but submit personal expense invoices as business expense (Alm 2012; Gordon and Li 2009).”