Using preference parameter estimates to optimise public sector wage contracts: A field study in Pakistan (Project memo) Miscellaneous 9 Feb 2016 State and Tax Project Using preference parameter estimates to optimise public sector wage contracts: A field study in Pakistan Authors Michael Callen Associate Professor of Economics, London School of Economics and Political Science (LSE) Muhammad Yasir Khan Graduate Student, University of California - Berkeley Callen-Khan-2015-Project-memo.pdf Download PDF document • 342.34 KB Share Share More from Using preference parameter estimates to optimise public sector wage contracts: A field study in Pakistan Using preference estimates to customize incentives: An application to polio vaccination drives in Pakistan James Andreoni, Michael Callen, Karrar Hussain, Muhammad Yasir Khan, Charles Sprenger Journal of the European Economic Association 21 4 Journal article Using preference parameter estimates to optimise public sector wage contracts: A field study in Pakistan Michael Callen, Karrar Hussain, Muhammad Yasir Khan, Charles Sprenger Working paper More from IGC Data and AI How can AI help detect non-compliance and improve tax enforcement? Laura Fras Blog How to use third-party reporting to raise VAT compliance: Evidence from Paraguay Michael Carlos Best,, Florian Grosset-Touba, Gaston Pierri, Evan Sadler, Panos Toulis Policy brief Shocks that settle: The long shadow of a commodity crisis Tim Dobermann Blog Is minimum the maximum? The case of unbiased evasion estimates and tax recycling under informality Jawad Shah Policy brief Themes State Tax Countries Pakistan
