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<StrategicPlan><id></id><Name>About Us</Name><Description>Our research uses high-frequency item-level data to study pricing topics in Macroeconomics. </Description><OtherInformation></OtherInformation><StrategicPlanCore><Organization><Name>Billion Prices Project </Name><Acronym>BPP</Acronym><Identifier>_9730c050-1ebb-11e2-9868-81573736e24c</Identifier><Description>The Billion Prices Project is an academic initiative that uses prices collected from hundreds of online retailers around the world on a daily basis to conduct economic research. </Description><Stakeholder><Name>BPP Team</Name><Description>The BPP is led by Professors Roberto Rigobon and Alberto Cavallo at the MIT Sloan School of Management.  

We thank all the current and past MIT students that participated in the project through MIT&#8217;s UROP program for their help and enthusiasm.

For our technology and computational needs, we receive outstanding help from Mark Riedesel, Chay Casso, Armand Doucette, Ray Faith, Ken Valentine, and others at Sloan Technology Services. We also thank the members of SIPB at MIT for hosting this page. </Description></Stakeholder><Stakeholder><Name>Roberto Rigobon </Name><Description>Professor of Economics, Applied Economics Group,
MIT &#8211; Sloan School of Management</Description></Stakeholder><Stakeholder><Name>Alberto Cavallo</Name><Description>Assistant Professor of Economics, Applied Economics Group,
MIT &#8211; Sloan School of Management</Description></Stakeholder><Stakeholder><Name>Mark Riedesel</Name><Description></Description></Stakeholder><Stakeholder><Name>Chay Casso</Name><Description></Description></Stakeholder><Stakeholder><Name>Armand Doucette</Name><Description></Description></Stakeholder><Stakeholder><Name>Ray Faith</Name><Description></Description></Stakeholder><Stakeholder><Name>Ken Valentine</Name><Description></Description></Stakeholder><Stakeholder><Name>Sloan Technology Services</Name><Description></Description></Stakeholder><Stakeholder><Name>SIPB at MIT</Name><Description></Description></Stakeholder><Stakeholder><Name>MIT Sloan School of Management</Name><Description>The Sponsors - 

We are extremely thankful to the MIT Sloan School of Management for its financial support.</Description></Stakeholder><Stakeholder><Name>PriceStats</Name><Description>If you are looking for more high-frequency inflation data across countries and sectors, please contact PriceStats, the company that collects the online data we use in our research initiatives and experimental indexes.  http://www.pricestats.com/</Description></Stakeholder></Organization><Vision><Description></Description><Identifier>_9730c6d6-1ebb-11e2-9868-81573736e24c</Identifier></Vision><Mission><Description>To use high-frequency item-level data to study pricing topics in Macroeconomics. </Description><Identifier>_9730c7bc-1ebb-11e2-9868-81573736e24c</Identifier></Mission><Value><Name></Name><Description></Description></Value><Goal><Name>Pricing Behavior</Name><Description>Study pricing behavior</Description><Identifier>_9730c83e-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>1</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation>Pricing Behavior: What drives price stickiness around the world? How much can be explained by current inflation, and inflation histories? How much by competition and industries&#8217; structure? Are prices synchronized?</OtherInformation><Objective><Name>Price Stickiness</Name><Description>Determine what drives price stickiness around the world
</Description><Identifier>_9730c8b6-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>1.1</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation></OtherInformation></Objective><Objective><Name>Inflation</Name><Description>Determine how much can be explained by current inflation, and inflation histories</Description><Identifier>_9730c92e-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>1.2</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation></OtherInformation></Objective><Objective><Name>Competition &amp; Industry Structure</Name><Description>Determine how much can be explained by competition and industries&#8217; structure</Description><Identifier>_9730c9a6-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>1.3</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation></OtherInformation></Objective><Objective><Name>Synchronization</Name><Description>Determine whether prices are synchronized</Description><Identifier>_9730ca1e-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>1.4</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation></OtherInformation></Objective></Goal><Goal><Name>Daily Inflation &amp; Asset Prices</Name><Description>Construct daily inflation indexes</Description><Identifier>_9730ca96-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>2</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation>Daily Inflation and Asset Prices: We construct daily inflation indexes across countries and sectors and study their ability to match official statistics. We also study the links between daily inflation, asset prices, and inflation expectations.</OtherInformation><Objective><Name>Consistency</Name><Description>Determine the ability of our inflation indexes to match official statistics</Description><Identifier>_9730cb22-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>2.1</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation></OtherInformation></Objective><Objective><Name>Links</Name><Description>Determine the links between daily inflation, asset prices, and inflation expectations</Description><Identifier>_9730cbc2-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>2.2</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation></OtherInformation></Objective></Goal><Goal><Name>Pass-Through</Name><Description>Determine how much prices adjust internally when the exchange rate, or the international price of commodities change</Description><Identifier>_9730cc4e-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>3</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation>Pass-Through: How much do prices adjust internally when the exchange rate, or the international price of commodities change?</OtherInformation></Goal><Goal><Name>Green Markups</Name><Description>Determine the premium paid for &#8220;green&#8221; or &#8220;organic&#8221; products</Description><Identifier>_9730ccd0-1ebb-11e2-9868-81573736e24c</Identifier><SequenceIndicator>4</SequenceIndicator><Stakeholder><Name></Name><Description></Description></Stakeholder><OtherInformation>Green Markups: What premium is paid in stores for &#8220;green&#8221; or &#8220;organic&#8221; products? Since we have data from multinational retailers, we can compute premium differences - for exactly the same items- in different places.</OtherInformation></Goal></StrategicPlanCore><AdministrativeInformation><StartDate></StartDate><EndDate></EndDate><PublicationDate>2012-10-25</PublicationDate><Source>http://bpp.mit.edu/</Source><Submitter><FirstName>Owen</FirstName><LastName>Ambur</LastName><PhoneNumber></PhoneNumber><EmailAddress>Owen.Ambur@verizon.net</EmailAddress></Submitter></AdministrativeInformation></StrategicPlan>