2019
DOI: 10.1016/j.ejor.2018.11.051
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Measuring the effects of price controls using mixed complementarity models

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Cited by 25 publications
(14 citation statements)
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“…Converting the identification of a policy expressed as a constraint and its implicit cost to the instruments that makes it possible to achieve is a difficult problem. Murphy et al [35] discussed how to solve the reverse problem (computing the Impact of a mix of instruments) through a complementarity problem formulation. Complementarity…”
Section: Generalization: Expanding the Scope Of Policiesmentioning
confidence: 99%
See 2 more Smart Citations
“…Converting the identification of a policy expressed as a constraint and its implicit cost to the instruments that makes it possible to achieve is a difficult problem. Murphy et al [35] discussed how to solve the reverse problem (computing the Impact of a mix of instruments) through a complementarity problem formulation. Complementarity…”
Section: Generalization: Expanding the Scope Of Policiesmentioning
confidence: 99%
“…Converting the identification of a policy expressed as a constraint and its implicit cost to the instruments that makes it possible to achieve is a difficult problem. Murphy et al [35] discussed how to solve the reverse problem (computing the Impact of a mix of instruments) through a complementarity problem formulation. Complementarity models extend LP formulations and are now common in energy modeling (see, e.g., Murphy et al [34], a tutorial emphasizing the advantages of the complementarity formulation compared to the optimization model).…”
Section: Generalization: Expanding the Scope Of Policiesmentioning
confidence: 99%
See 1 more Smart Citation
“…The modern micro-founded theory of price controls was developed in part to examine the case of commodity producers in developing countries (Stiglitz and Newbery 1979;Newbery and Stiglitz 1982). More recently, for EMDEs, price controls for petroleum products have been studied extensively, while those on food products have received less attention (Verme and Araar 2017;Kojima 2013;Devarajan 2013;Murphy et al 2019;Shi and Sun 2017;Clements, Jung and Gupta 2007;Ghosh and Whalley 2004). The World Bank's Energy Sector Management Assistance Program (ESMAP) has conducted in-depth studies of subsidy reforms for energy markets across EMDEs (ESMAP 2019;Ore et al 2018).…”
Section: Introductionmentioning
confidence: 99%
“…In this paper we describe how to incorporate four basic pricing structures into multi-sector economic problems: the marginal cost (perfect competition), the administered (fixed) price, the average cost price, and a price cap. For a more detailed explanation of how MCP models can be used to measure the effects of price controls, see Murphy et al (2019).…”
mentioning
confidence: 99%