Revenue collection and public sector efficiency is a central question for developing countries. The low level of tax revenues raised in these countries can result in the under-provision of public goods, heightens vulnerability to economic crises, and may constrain growth. Poorer countries collect on average only two-thirds or less of the amount of tax revenue as a fraction of GDP that richer countries do1, with an estimated $285 billion per year loss due to tax evasion.2 Past work on this topic attributes the weak performance of tax collection to the poor incentives for proper tax collection and administration. It is thought that incentives, accountability and monitoring can raise public sector efficiency, but there is little rigorous evidence on anti-corruption measures that systematically address the incentives faced by government bureaucrats.
Punjab is Pakistan’s most populous province with a population of over 80 million. International comparison reveals that the present level of property tax collection in Punjab is roughly a fifth of the level of comparable countries. Evidence suggests that the main way tax evasion takes place is through several distortions such as granting exemptions to widows, the disabled, owners of small plots, retired federal and provincial government employees, and religious charitable institutions. Because officials may employ significant discretion in applying valuation to individual properties and determining exemptions, the system leaves considerable opportunities for leakages, collusion, and low collection.
Tax collectors in Pakistan are part of the provincial career bureaucracy with wages determined by salary band and length of service. Tax officials have few avenues for vertical mobility through promotions, and wage levels are not tied to performance in any way. As a result of these factors, tax officials suffer from low motivation, and evidence suggests that tax evasion and rent seeking are prevalent.
Geographical areas serviced by a set of tax collectors (called tax circles) were randomly assigned one of the following four wage and incentive programs (or no treatment):
Wage schemes:
Results forthcoming.