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1key,authors,year,venue,topic_bucket,data_setting,method,main_finding,relevance_to_WP36,verified_via,notes2rosen1974hedonic,Rosen,1974,Journal of Political Economy,A,Theory,Hedonic equilibrium of implicit markets,Hedonic price function is an equilibrium envelope; identification caveats,"Theoretical basis for interpreting hedonic coefficients on mileage, age, trim",crossref DOI 10.1086/260169,3lancaster1966newapproach,Lancaster,1966,Journal of Political Economy,A,Theory,Characteristics model of demand,Goods valued through their characteristics,Micro-foundation for hedonic specification,crossref DOI 10.1086/259131,4pakes2003hedonic,Pakes,2003,American Economic Review,A,US PCs 1995-99,Hedonic indexes with flexible functional forms,Hedonic indexes need not have constant coefficients; matched-model bias,Guides rolling-window hedonic index design for AMLI,crossref DOI 10.1257/000282803322655455,5triplett2006handbook,Triplett,2006,OECD Publishing,A,Methodology,OECD handbook on hedonic quality adjustment,Best practice for hedonic indexes in official statistics,Standard reference for quality adjustment choices,crossref DOI 10.1787/9789264028159-en,6bajari2005hedonic,Bajari & Benkard,2005,Journal of Political Economy,A,US PCs,Hedonic demand estimation with unobserved characteristics,Recovers preferences and unobserved quality from hedonic prices,Unobserved vehicle quality (condition) warning for listing data,crossref DOI 10.1086/498586,7ekeland2004hedonic,Ekeland et al.,2004,Journal of Political Economy,A,Theory/econometrics,Identification of hedonic models,Nonlinear hedonic models are identified under weak conditions,Supports nonparametric/ML hedonic pricing,crossref DOI 10.1086/379947,8silver2007hedonicimputation,Silver & Heravi,2007,Journal of Business \& Economic Statistics,A,UK scanner data,Hedonic imputation vs time-dummy indexes,Difference depends on changes in characteristics and parameters,Choice of index formula for AMLI price component,crossref DOI 10.1198/073500106000000486,9diewert2003hedonic,Diewert,2003,Scanner Data and Price Indexes,A,Theory,Consumer-theory derivation of hedonic regressions,Justifies log-price hedonic specifications and weighting,Specification of the hedonic model,crossref DOI 10.7208/chicago/9780226239668.003.0012,10dreyfus1995timepreference,Dreyfus & Viscusi,1995,Journal of Law and Economics,A,US automobiles,Hedonic regression on new-car prices,Implicit prices of safety and fuel efficiency; discount rates 11-17%,Hedonic valuation of vehicle attributes,crossref DOI 10.1086/467326,11berry1995automobile,Berry et al.,1995,Econometrica,A,US new cars 1971-90,Discrete-choice demand with unobserved characteristics (BLP),Markups and substitution patterns in autos,Benchmark structural model of auto demand; motivates reduced-form approach,crossref DOI 10.2307/2171802,12goodman1998court,Goodman,1998,Journal of Urban Economics,A,History,Review of Court 1939,Court invented hedonic price analysis in 1939,Documents Court 1939 provenance,crossref DOI 10.1006/juec.1997.2071,13akerlof1970lemons,Akerlof,1970,Quarterly Journal of Economics,B,Theory (used cars),Adverse selection model,Quality uncertainty can collapse the used-car market,Foundational: asymmetric information in used cars,crossref DOI 10.2307/1879431,14hendel1999adverse,Hendel & Lizzeri,1999,American Economic Review,B,Theory,Dynamic durable-goods model with adverse selection,Adverse selection does not shut down trade; affects volume and prices across vintages,Theory of vintage pricing and turnover,crossref DOI 10.1257/aer.89.5.1097,15hendel2002leasing,Hendel & Lizzeri,2002,Journal of Political Economy,B,Theory + US auto data,Leasing under adverse selection,Leasing contracts mitigate adverse selection; off-lease supply,Explains supply of 2-4 year old cars to dealers,crossref DOI 10.1086/324387,16stolyarov2002turnover,Stolyarov,2002,Journal of Political Economy,B,US used cars (CES),Stationary equilibrium model,Trade volume non-monotone in age because of transaction costs,Age profile of listing exit and turnover,crossref DOI 10.1086/343745,17gavazza2014usedcar,Gavazza et al.,2014,American Economic Review,B,US used cars,Quantitative dynamic equilibrium model,"Transaction costs are key for used-car volumes, prices and welfare",Closest structural benchmark for used-car liquidity,crossref DOI 10.1257/aer.104.11.3668,18rust1985durable,Rust,1985,Econometrica,B,Theory,Stationary equilibrium of durable asset market,Prices of used assets determined by scrappage and replacement,Theory of used-asset price profiles,crossref DOI 10.2307/1912654,19porter1999usedtrade,Porter & Sattler,1999,National Bureau of Economic Research,B,US autos,Theory and evidence on trade patterns in used durables,Trade volume by age consistent with heterogeneous valuations,Age/vintage patterns of used-car trade,crossref DOI 10.3386/w7149,NBER WP never published; NBER DOI20engers2009annualmiles,Engers et al.,2009,Journal of Applied Econometrics,B,US used cars (Kelley/Consumer Reports),Hedonic with mileage and age,"Annual miles driven, not age per se, drive used-car prices",Mileage adjustment in hedonic model,crossref DOI 10.1002/jae.1034,21emons2009usedcars,Emons & Sheldon,2009,Applied Economics,B,Swiss used cars,Test of lemons via repair frequency,Evidence consistent with lemons phenomenon,Adverse selection in used cars (European evidence),crossref DOI 10.1080/00036840802277332,22genesove1993adverse,Genesove,1993,Journal of Political Economy,B,US wholesale used-car auctions,Test of adverse selection by seller type,Mild adverse selection among dealers at auction,Wholesale side of dealer sourcing,crossref DOI 10.1086/261891,23lewis2011asymmetric,Lewis,2011,American Economic Review,B,eBay Motors listings,Effect of disclosure on prices,"Voluntary disclosure (photos, text) raises prices; reduces asymmetry",Online listing information and price,crossref DOI 10.1257/aer.101.4.1535,24adams2011vettes,Adams et al.,2011,Quantitative Marketing and Economics,B,eBay Corvettes,Test of adverse selection online,Little evidence of lemons for enthusiast cars online,Online used-car markets evidence,crossref DOI 10.1007/s11129-011-9095-2,25peterson2014adverse,Peterson & Schneider,2014,RAND Journal of Economics,B,US CES purchase and repair data,Test using repair patterns,Used cars bought from dealers vs private differ in repair; adverse selection present,Dealer channel quality signal,crossref DOI 10.1111/1756-2171.12045,26peterson2017beautiful,Peterson & Schneider,2017,Management Science,B,US used-car transactions,Durable-goods sorting model with adverse selection,Sorting of quality across channels and prices,Dealer vs private market segmentation,crossref DOI 10.1287/mnsc.2016.2495,27busse2013gasoline,Busse et al.,2013,American Economic Review,B,US new and used car transactions,Gas-price shocks to prices and sales,Used-car prices respond strongly to fuel prices; consumers not myopic,Macro shocks transmit to used-car prices quickly,crossref DOI 10.1257/aer.103.1.220,28sallee2016fueleconomy,Sallee et al.,2016,Journal of Public Economics,B,US used-car transactions,Fuel-cost capitalization,Used-car prices fully capitalize fuel costs,Attribute valuation in used-car prices,crossref DOI 10.1016/j.jpubeco.2016.01.003,29jacobsen2015scrappage,Jacobsen & van Benthem,2015,American Economic Review,B,US vehicle fleet,Scrappage elasticity estimation,Scrappage responds to used-car prices; policy leakage,Exit of vehicles from the stock,crossref DOI 10.1257/aer.20130935,30larsen2021bargaining,Larsen,2021,Review of Economic Studies,B,US wholesale used-auto auctions,Bargaining efficiency estimation,Post-auction bargaining fairly efficient; dynamic reservation prices,Wholesale price discovery benchmark,crossref DOI 10.1093/restud/rdaa007,31kooreman2006anomalies,Kooreman & Haan,2006,De Economist,B,Dutch used-car ads,Hedonic on listing prices,Price anomalies (e.g. registration-year thresholds) in asking prices,Asking-price data from classifieds in economics,crossref DOI 10.1007/s10645-006-6485-z,Dutch listing data precedent32lacetera2012heuristic,Lacetera et al.,2012,American Economic Review,B,US wholesale auctions,Discontinuities at mileage thresholds,Left-digit bias in mileage affects prices,Mileage heuristics in used-car pricing,crossref DOI 10.1257/aer.102.5.2206,33biglaiser2020intermediaries,Biglaiser et al.,2020,RAND Journal of Economics,B,US used-car transactions (Pennsylvania),Model of dealer as quality intermediary,Dealers sort quality; price premium relates to time on market,Closest academic link between dealer premium and time on market,crossref DOI 10.1111/1756-2171.12344,34biglaiser1993middlemen,Biglaiser,1993,RAND Journal of Economics,B,Theory,Middlemen as quality experts,Intermediaries arise to certify quality,Dealer role in used-car market,crossref DOI 10.2307/2555758,35haan2010internetregional,Haan & de Boer,2010,De Economist,B,Dutch used-car listings,Regional price dispersion before/after internet,Internet did not eliminate regional price differences in used cars,Direct precedent for regional segmentation of asking prices,crossref DOI 10.1007/s10645-010-9151-4,Also relevant to bucket F36pesendorfer2002retailsales,Pesendorfer,2002,Journal of Business,C,US supermarket scanner data,Dynamic pricing with intertemporal demand,Sales timing depends on time since last sale,Dynamic markdown logic,crossref DOI 10.1086/323504,37nakamura2008fivefacts,Nakamura & Steinsson,2008,Quarterly Journal of Economics,C,US CPI micro data,Frequency and size of price changes,Price rigidity facts; sales vs regular prices,Benchmark for frequency of asking-price changes,crossref DOI 10.1162/qjec.2008.123.4.1415,38aguirregabiria1999markups,Aguirregabiria,1999,Review of Economic Studies,C,Spanish supermarket chain,Dynamic structural model of markups and inventories,Inventories drive markup cycles,Inventory-markup link for dealers,crossref DOI 10.1111/1467-937X.00088,39cho2010flatrental,Cho & Rust,2010,Review of Economic Studies,C,US auto rental company,Dynamic programming of rental fleet,Flat rental rates despite depreciation puzzle,Vehicle age pricing puzzle,crossref DOI 10.1111/j.1467-937x.2009.00556.x,40zettelmeyer2006internet,Zettelmeyer et al.,2006,Journal of Marketing Research,C,US new-car transactions,Matched survey/transactions,Internet lowers prices via information and referral,Information effects on car prices,crossref DOI 10.1509/jmkr.43.2.168,41scottmorton2001internet,Scott Morton et al.,2001,Journal of Industrial Economics,C,US new-car transactions,Referral-service pricing,Internet referral buyers pay ~2% less,Internet car retailing benchmark,crossref DOI 10.1111/1467-6451.00160,42busse2006cashback,Busse et al.,2006,American Economic Review,C,US new-car promotions,Pass-through of manufacturer promotions,Customer rebates passed through more than dealer cash,Dealer price-setting behaviour,crossref DOI 10.1257/aer.96.4.1253,43murry2020colocation,Murry & Zhou,2020,Management Science,C,US dealer locations and transactions,Search model with dealer colocation,Dealer clustering lowers search costs and prices,Spatial dealer competition and search,crossref DOI 10.1287/mnsc.2019.3307,44israeli2022marketpower,Israeli et al.,2022,Management Science,C,US dealership transactions,Inventory fluctuations and prices,Dealers with market power respond more to inventory in pricing,Closest study of dealer dynamic pricing vs inventory,crossref DOI 10.1287/mnsc.2021.3967,45gallego1994dynamicpricing,Gallego & van Ryzin,1994,Management Science,C,Theory (OR),Optimal dynamic pricing of finite inventory,Prices fall with time and rise with remaining inventory,Normative model for listing markdowns,crossref DOI 10.1287/mnsc.40.8.999,46elmaghraby2003dynamicpricing,Elmaghraby & Keskinocak,2003,Management Science,C,Survey (OR),Review of dynamic pricing with inventory,Taxonomy of markdown/replenishment models,Framework for dealer markdown policy,crossref DOI 10.1287/mnsc.49.10.1287.17315,47pashigian1991sale,Pashigian & Bowen,1991,Quarterly Journal of Economics,C,US apparel,Markdown regularities,Markdowns increase with fashion/variety,Clearance-sale empirics,crossref DOI 10.2307/2937955,48sweeting2012perishable,Sweeting,2012,Journal of Political Economy,C,MLB secondary ticket market,Dynamic pricing before deadline,"Sellers cut prices as deadline approaches, consistent with dynamic model",Perishable-inventory pricing analogue,crossref DOI 10.1086/669254,49merlo2004bargaining,Merlo & Ortalo-Magne,2004,Journal of Urban Economics,C,England house listings,Listing-price revisions and bargaining,Listing price revisions and offers; sellers cut asking prices over time,Listing-price revision evidence in housing,crossref DOI 10.1016/j.jue.2004.05.004,50merlo2015homeselling,Merlo et al.,2015,International Economic Review,C,England house listings,Structural home-selling model,Optimal listing-price path declines with time on market,Structural analogue of markdown hazard,crossref DOI 10.1111/iere.12111,51busse2015weather,Busse et al.,2015,Quarterly Journal of Economics,C,US car transactions,Weather shocks and purchases,Projection bias: weather shifts demand for convertibles/4WD,Seasonal demand shocks in vehicles,crossref DOI 10.1093/qje/qju033,52stigler1961information,Stigler,1961,Journal of Political Economy,D,Theory,Search theory,Price dispersion arises from costly search,Foundation of dispersion analysis,crossref DOI 10.1086/258464,53burdett1983equilibrium,Burdett & Judd,1983,Econometrica,D,Theory,Noisy search equilibrium,Price dispersion as equilibrium outcome,Dispersion with identical sellers,crossref DOI 10.2307/1912045,54sorensen2000dispersion,Sorensen,2000,Journal of Political Economy,D,US retail pharmacies,Dispersion vs purchase frequency,Dispersion lower for frequently purchased drugs,Search intensity and dispersion,crossref DOI 10.1086/316103,55lach2002dispersion,Lach,2002,Review of Economics and Statistics,D,Israeli retail prices,Panel of store prices,Dispersion persists; stores change rank,Persistence of dispersion,crossref DOI 10.1162/003465302320259457,56baye2006dispersion,Baye et al.,2006,Handbook on Economics and Information Systems,D,Survey,Review of search and dispersion,Catalogue of dispersion measures and theories,Dispersion metrics for AMLI,crossref DOI 10.1016/S1574-0145(06)01006-3,57diamond1971paradox,Diamond,1971,Journal of Economic Theory,D,Theory,Sequential search,Monopoly price with any positive search cost,Diamond paradox,crossref DOI 10.1016/0022-0531(71)90013-5,58kaplan2015dispersion,Kaplan & Menzio,2015,International Economic Review,D,US scanner data,Decomposition of dispersion,"Dispersion mostly within-store/time, not across stores",Decomposition approach,crossref DOI 10.1111/iere.12134,59duffie2005otc,Duffie et al.,2005,Econometrica,D,Theory (finance),Search model of OTC markets,Liquidity premia from search frictions,OTC liquidity concept for cars,crossref DOI 10.1111/j.1468-0262.2005.00639.x,60lagos2009liquidity,Lagos & Rocheteau,2009,Econometrica,D,Theory (finance),Search with divisible assets,Liquidity and trading delays,Asset-market liquidity theory,crossref DOI 10.3982/ECTA7250,61amihud2002illiquidity,Amihud,2002,Journal of Financial Markets,D,US stocks,Illiquidity ratio,Illiquidity priced in returns,Illiquidity measure template,crossref DOI 10.1016/S1386-4181(01)00024-6,62amihud1986bidask,Amihud & Mendelson,1986,Journal of Financial Economics,D,US stocks,Bid-ask spread and returns,Liquidity premium,Spread as liquidity measure,crossref DOI 10.1016/0304-405X(86)90065-6,63krainer2001housingliquidity,Krainer,2001,Journal of Urban Economics,D,Theory (housing),Search model,Liquidity varies with market conditions; time to sell,Housing liquidity theory,crossref DOI 10.1006/juec.2000.2180,64carrillo2012search,Carrillo,2012,International Economic Review,D,US MLS data,Stationary search equilibrium,Estimates buyer/seller search and time on market,Structural TOM model,crossref DOI 10.1111/j.1468-2354.2011.00677.x,65genesove2001lossaversion,Genesove & Mayer,2001,Quarterly Journal of Economics,D,Boston condos,Loss aversion in list prices,Sellers facing losses set higher asking prices and sell slower,Asking-price setting behaviour,crossref DOI 10.1162/003355301753265561,66han2015microstructure,Han & Strange,2015,Handbook of Regional and Urban Economics,D,Survey,Review of housing microstructure,"Search, bargaining, brokerage, list prices",Reference survey for asking-price dynamics,crossref DOI 10.1016/b978-0-444-59531-7.00013-2,67guren2018momentum,Guren,2018,Journal of Political Economy,D,US housing,Strategic complementarity in list prices,Sellers partially adjust to competitors; momentum,Competitor response in list pricing,crossref DOI 10.1086/697207,68anenberg2016frictions,Anenberg,2016,International Economic Review,D,US housing listings,Information frictions model,Sellers learn demand and adjust list prices,Learning and listing-price cuts,crossref DOI 10.1111/iere.12204,69head2014searchliquidity,Head et al.,2014,American Economic Review,D,US cities,Search model of housing,Search and liquidity explain price dynamics,Liquidity-price dynamics,crossref DOI 10.1257/aer.104.4.1172,70ngai2014hotcold,Ngai & Tenreyro,2014,American Economic Review,D,UK/US housing,Seasonal search model,Hot and cold seasons from thick-market effects,Seasonality in liquidity,crossref DOI 10.1257/aer.104.12.3991,71piazzesi2020segmented,Piazzesi et al.,2020,American Economic Review,D,SF Bay Area search data,Segmented search,Search is segmented across submarkets,Regional/segment segmentation,crossref DOI 10.1257/aer.20141772,72wheaton1990vacancy,Wheaton,1990,Journal of Political Economy,D,Theory (housing),Matching model,Vacancy and prices in matching market,Vacancy/inventory-price link,crossref DOI 10.1086/261734,73gavazza2011frictions,Gavazza,2011,American Economic Review,D,Commercial aircraft,Trading frictions in real asset market,Thinner markets raise frictions and lower prices,Liquidity in durable asset markets,crossref DOI 10.1257/aer.101.4.1106,74gavazza2016decentralized,Gavazza,2016,Econometrica,D,Aircraft market,Empirical equilibrium search model,Search frictions and dealer intermediation,Dealer intermediation in decentralized market,crossref DOI 10.3982/ECTA10847,75salz2022intermediation,Salz,2022,Journal of Political Economy,D,NYC waste hauling,Intermediation and search,Brokers reduce search costs; prices,Intermediary value,crossref DOI 10.1086/717349,76cox1972regression,Cox,1972,Journal of the Royal Statistical Society Series B: Statistical Methodology,E,Methods,Proportional hazards,Semi-parametric hazard regression,Core hazard model,crossref DOI 10.1111/j.2517-6161.1972.tb00899.x,77kalbfleisch2002statistical,Kalbfleisch & Prentice,2002,Wiley,E,Methods,Textbook,Failure-time analysis,Reference text,crossref DOI 10.1002/9781118032985,78fine1999proportional,Fine & Gray,1999,Journal of the American Statistical Association,E,Methods,Subdistribution hazards,Competing risks regression,Exit (sold vs withdrawn) competing risks,crossref DOI 10.1080/01621459.1999.10474144,79grambsch1994proportional,Grambsch & Therneau,1994,Biometrika,E,Methods,Scaled Schoenfeld residuals,PH assumption test,Diagnostics,crossref DOI 10.1093/biomet/81.3.515,80allison1982discrete,Allison,1982,Sociological Methodology,E,Methods,Discrete-time hazards,Logit-based event history,Daily-panel discrete hazards,crossref DOI 10.2307/270718,81singer1993discrete,Singer & Willett,1993,Journal of Educational Statistics,E,Methods,Discrete-time survival,Tutorial on discrete hazards,Daily-panel estimation,crossref DOI 10.3102/10769986018002155,82andersen1982cox,Andersen & Gill,1982,Annals of Statistics,E,Methods,Counting-process Cox,Multiple events via counting processes,Repeated markdowns,crossref DOI 10.1214/aos/1176345976,83prentice1981regression,Prentice et al.,1981,Biometrika,E,Methods,Recurrent-event models,Gap-time and total-time models,Repeated price-change events,crossref DOI 10.1093/biomet/68.2.373,84royston2002flexible,Royston & Parmar,2002,Statistics in Medicine,E,Methods,Flexible parametric survival,Spline baseline hazards,Smooth baseline for TOM,crossref DOI 10.1002/sim.1203,85lin1989robust,Lin & Wei,1989,Journal of the American Statistical Association,E,Methods,Robust sandwich variance for Cox,Clustered inference in Cox,Dealer-clustered SEs,crossref DOI 10.1080/01621459.1989.10478874,86turnbull1976empirical,Turnbull,1976,Journal of the Royal Statistical Society Series B: Statistical Methodology,E,Methods,NPMLE with interval censoring,Interval-censored survival,First/last-seen interval censoring,crossref DOI 10.1111/j.2517-6161.1976.tb01597.x,87kaplan1958nonparametric,Kaplan & Meier,1958,Journal of the American Statistical Association,E,Methods,Product-limit estimator,Nonparametric survival,Baseline description,crossref DOI 10.1080/01621459.1958.10501452,88lancaster1990econometric,Lancaster,1990,Cambridge University Press,E,Methods,Textbook,Econometrics of transition data,Economic duration models,crossref DOI 10.1017/CCOL0521265967,89heckman1984method,Heckman & Singer,1984,Econometrica,E,Methods,NPMLE of unobserved heterogeneity,Mixture distribution for frailty,Unobserved dealer/vehicle heterogeneity,crossref DOI 10.2307/1911491,90putter2007tutorial,Putter et al.,2007,Statistics in Medicine,E,Methods,Tutorial,Competing risks and multistate,Applied guidance,crossref DOI 10.1002/sim.2712,91therneau2000modeling,Therneau & Grambsch,2000,Springer New York,E,Methods,Textbook,Extending the Cox model,Software-oriented reference,crossref DOI 10.1007/978-1-4757-3294-8,92hotelling1929stability,Hotelling,1929,Economic Journal,F,Theory,Linear city,Spatial differentiation,Spatial competition origin,crossref DOI 10.2307/2224214,93salop1979monopolistic,Salop,1979,Bell Journal of Economics,F,Theory,Circular city,Entry and spatial markups,Spatial competition,crossref DOI 10.2307/3003323,94bresnahan1991entry,Bresnahan & Reiss,1991,Journal of Political Economy,F,US small-town retail (incl. auto dealers),Entry thresholds,Competition effects saturate after few entrants,Auto dealers in isolated markets,crossref DOI 10.1086/261786,95pinkse2002spatial,Pinkse et al.,2002,Econometrica,F,US gasoline wholesale,Semiparametric spatial price competition,Competition is localized,Spatial price-response estimation,crossref DOI 10.1111/1468-0262.00320,96houde2012spatial,Houde,2012,American Economic Review,F,Quebec City gasoline,Spatial differentiation on road network,Commuting-path competition,Quebec spatial retail evidence,crossref DOI 10.1257/aer.102.5.2147,97gorodnichenko2009border,Gorodnichenko & Tesar,2009,American Economic Journal: Macroeconomics,F,US-Canada city prices,Border effect reassessment,Border effect smaller once cross-country heterogeneity handled,Canadian regional price dispersion,crossref DOI 10.1257/mac.1.1.219,98anselin1988spatial,Anselin,1988,Springer Netherlands,F,Methods,Spatial econometrics text,Spatial lag/error models,Spatial methods,crossref DOI 10.1007/978-94-015-7799-1,99lesage2009introduction,LeSage & Pace,2009,Chapman and Hall/CRC,F,Methods,Spatial econometrics text,Spatial regression,Spatial methods,crossref DOI 10.1201/9781420064254,100conley1999gmm,Conley,1999,Journal of Econometrics,F,Methods,Spatial HAC,GMM with cross-sectional dependence,Spatial-robust SEs,crossref DOI 10.1016/S0304-4076(98)00084-0,101elhorst2014spatial,Elhorst,2014,Springer Berlin Heidelberg,F,Methods,Spatial panels,Spatial panel models,Spatial panel methods,crossref DOI 10.1007/978-3-642-40340-8,102ceglowski2003lawofoneprice,Ceglowski,2003,Canadian Journal of Economics,F,Canadian cities,Law of one price tests,Intranational price convergence in Canada,Canadian regional integration,crossref DOI 10.1111/1540-5982.t01-1-00005,103kalnins2003hamburger,Kalnins,2003,Journal of Economics \& Management Strategy,F,US fast food,Spatial econometrics of prices,Prices respond to nearby competitors,Localized price reactions,crossref DOI 10.1111/j.1430-9134.2003.00591.x,104slade1992vancouver,Slade,1992,Review of Economic Studies,F,Vancouver gasoline,Price wars and tacit collusion,Dynamic reaction functions,Canadian price-war evidence,crossref DOI 10.2307/2297954,105lewis2008dispersion,Lewis,2008,Journal of Industrial Economics,F,US gasoline stations,Dispersion and differentiation,Dispersion depends on local competition,Local dispersion,crossref DOI 10.1111/j.1467-6451.2008.00348.x,106manski1993reflection,Manski,1993,Review of Economic Studies,G,Theory,Reflection problem,Endogenous effects not identified from linear-in-means,Identification of competitor response,crossref DOI 10.2307/2298123,107brock2001discrete,Brock & Durlauf,2001,Review of Economic Studies,G,Theory,Discrete choice with social interactions,Identification via nonlinearity,Social interactions,crossref DOI 10.1111/1467-937X.00168,108bramoulle2009peer,Bramoulle et al.,2009,Journal of Econometrics,G,Theory/networks,Network identification,Intransitive triads identify peer effects,Dealer-network instruments,crossref DOI 10.1016/j.jeconom.2008.12.021,109angrist2014perils,Angrist,2014,Labour Economics,G,Methods,Critique,Mechanical peer-effect correlations,Caution for competitor response,crossref DOI 10.1016/j.labeco.2014.05.008,110blume2011identification,Blume et al.,2011,Handbook of Social Economics,G,Survey,Identification review,Social interactions models,Reference survey,crossref DOI 10.1016/b978-0-444-53707-2.00001-3,111bajari2010static,Bajari et al.,2010,Journal of Business \& Economic Statistics,G,Methods,Static games estimation,Estimating strategic interactions,Game-theoretic estimation,crossref DOI 10.1198/jbes.2009.07264,112sun2021estimating,Sun & Abraham,2021,Journal of Econometrics,G,Methods,Interaction-weighted event study,Heterogeneous effects bias,Event-study estimator,crossref DOI 10.1016/j.jeconom.2020.09.006,113callaway2021difference,Callaway & Sant'Anna,2021,Journal of Econometrics,G,Methods,Group-time ATT,Staggered DiD,Staggered price-cut events,crossref DOI 10.1016/j.jeconom.2020.12.001,114borusyak2024revisiting,Borusyak et al.,2024,Review of Economic Studies,G,Methods,Imputation estimator,Efficient robust event study,Event-study estimator,crossref DOI 10.1093/restud/rdae007,115goodmanbacon2021difference,Goodman-Bacon,2021,Journal of Econometrics,G,Methods,TWFE decomposition,Negative weights,Diagnostics,crossref DOI 10.1016/j.jeconom.2021.03.014,116dechaisemartin2020twoway,de Chaisemartin & D'Haultfoeuille,2020,American Economic Review,G,Methods,Heterogeneous TWFE,Robust DiD estimator,Diagnostics,crossref DOI 10.1257/aer.20181169,117roth2022pretest,Roth,2022,American Economic Review: Insights,G,Methods,Pre-trends tests,Low power of pretests,Pre-trend caution,crossref DOI 10.1257/aeri.20210236,118rambachan2023credible,Rambachan & Roth,2023,Review of Economic Studies,G,Methods,Sensitivity to parallel trends,Partial identification,Robust inference,crossref DOI 10.1093/restud/rdad018,119roth2023trending,Roth et al.,2023,Journal of Econometrics,G,Survey,DiD review,Synthesis of recent DiD,Guidance,crossref DOI 10.1016/j.jeconom.2023.03.008,120cameron2008bootstrap,Cameron et al.,2008,Review of Economics and Statistics,G,Methods,Wild cluster bootstrap,Few clusters inference,Few-region clustering,crossref DOI 10.1162/rest.90.3.414,121cameron2011multiway,Cameron et al.,2011,Journal of Business \& Economic Statistics,G,Methods,Multiway clustering,Two-way clustered SEs,Dealer x week clustering,crossref DOI 10.1198/jbes.2010.07136,122abadie2023clustering,Abadie et al.,2023,Quarterly Journal of Economics,G,Methods,Design-based clustering,When to cluster,Clustering choice,crossref DOI 10.1093/qje/qjac038,123bertrand2004howmuch,Bertrand et al.,2004,Quarterly Journal of Economics,G,Methods,Serial correlation in DiD,Over-rejection without clustering,Serial correlation in daily panel,crossref DOI 10.1162/003355304772839588,124chandra2011gasoline,Chandra & Tappata,2011,RAND Journal of Economics,G,US/Canada gasoline,Search and dynamic dispersion,Dispersion rises with search incentives,Competitor pricing dynamics,crossref DOI 10.1111/j.1756-2171.2011.00150.x,125byrne2019coordinate,Byrne & de Roos,2019,American Economic Review,G,Perth gasoline,Price leadership,Learning to coordinate cycles,Competitor response identification,crossref DOI 10.1257/aer.20170116,126assad2024algorithmic,Assad et al.,2024,Journal of Political Economy,G,German gasoline,Algorithmic pricing adoption,Algorithms raise margins in duopolies,Automated repricing in retail,crossref DOI 10.1086/726906,127bailey1963repeatsales,Bailey et al.,1963,Journal of the American Statistical Association,H,Methods,Repeat-sales regression,Index from repeated sales,Repeat-listing index design,crossref DOI 10.1080/01621459.1963.10480679,128han2016askingprice,Han & Strange,2016,Journal of Urban Economics,H,Toronto MLS,Theory and evidence on asking price,Asking price is commitment and signal; affects TOM and price,Core asking-price theory for listings,crossref DOI 10.1016/j.jue.2016.03.008,129anenberg2017timely,Anenberg & Laufer,2017,Review of Economics and Statistics,H,US listings (CoreLogic),Listing-based house price index,Listing prices give timely index,Direct precedent for listing-price index,crossref DOI 10.1162/REST_a_00634,130lyons2019listprices,Lyons,2019,Finance Research Letters,H,Ireland listings vs sales,Comparison of list and transaction indices,"List prices track trends, with gaps in extreme markets",List-vs-transaction gap,crossref DOI 10.1016/j.frl.2018.10.004,131kurlat2015asymmetries,Kurlat & Stroebel,2015,Review of Financial Studies,H,US housing,Test of information asymmetries,Informed buyers outperform,Information in listing markets,crossref DOI 10.1093/rfs/hhv028,132gatzlaff1997selection,Gatzlaff & Haurin,1997,Journal of Real Estate Finance and Economics,H,US housing,Selection in repeat-sales,Sample selection biases indexes,Selection in exit/sale samples,crossref DOI 10.1023/a:1007763816289,133knight2002listing,Knight,2002,Real Estate Economics,H,US MLS,Listing price changes and TOM,Large initial overpricing leads to cuts and longer TOM,Markdowns and time on market,crossref DOI 10.1111/1540-6229.00038,134horowitz1992listprice,Horowitz,1992,Journal of Applied Econometrics,H,US housing,Structural list-price model,List price as ceiling and signal,List price role,crossref DOI 10.1002/jae.3950070202,135haurin2010listprices,Haurin et al.,2010,Real Estate Economics,H,US MLS,"List price, sale price, marketing time","Atypical homes priced higher, longer TOM",List-price tradeoff,crossref DOI 10.1111/j.1540-6229.2010.00279.x,136anglin2003tradeoff,Anglin et al.,2003,Journal of Real Estate Finance and Economics,H,US MLS,Price setting vs TOM,Overpricing lengthens TOM,Markdown/TOM tradeoff,crossref DOI 10.1023/a:1021526332732,137bils2009quality,Bils,2009,Quarterly Journal of Economics,H,US CPI,Quality growth vs inflation,Price increases of new goods mostly quality,Quality bias in indices,crossref DOI 10.1162/qjec.2009.124.2.637,138hill2013hedonic,Hill,2012,Journal of Economic Surveys,H,Survey,Hedonic housing indexes,Taxonomy of hedonic index methods,Index design,crossref DOI 10.1111/j.1467-6419.2012.00731.x,139erickson2011experimental,Erickson & Pakes,2011,American Economic Review,H,US computers,Experimental CPI component,Hedonic indexes at monthly frequency,Monthly hedonic index,crossref DOI 10.1257/aer.101.5.1707,140benjamini1995fdr,Benjamini & Hochberg,1995,Journal of the Royal Statistical Society Series B: Statistical Methodology,I,Methods,FDR control,Benjamini-Hochberg,Multiple testing,crossref DOI 10.1111/j.2517-6161.1995.tb02031.x,141romano2005stepwise,Romano & Wolf,2005,Econometrica,I,Methods,Stepwise multiple testing,FWER control,Multiple testing,crossref DOI 10.1111/j.1468-0262.2005.00615.x,142diebold1995comparing,Diebold & Mariano,1995,Journal of Business \& Economic Statistics,I,Methods,Predictive accuracy test,DM test,Forecast comparison,crossref DOI 10.1080/07350015.1995.10524599,143giacomini2006tests,Giacomini & White,2006,Econometrica,I,Methods,Conditional predictive ability,GW test,Forecast comparison,crossref DOI 10.1111/j.1468-0262.2006.00718.x,144brier1950verification,Brier,1950,Monthly Weather Review,I,Methods,Brier score,Probability forecast scoring,Hazard calibration,crossref DOI 10.1175/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2,145friedman2001greedy,Friedman,2001,Annals of Statistics,I,Methods,Gradient boosting,GBM,Boosted hedonic/hazard models,crossref DOI 10.1214/aos/1013203451,146athey2019machine,Athey & Imbens,2019,Annual Review of Economics,I,Survey,ML for economists,Guidance,ML use,crossref DOI 10.1146/annurev-economics-080217-053433,147mullainathan2017machine,Mullainathan & Spiess,2017,Journal of Economic Perspectives,I,Survey,ML as applied econometrics,Prediction vs causation,ML use,crossref DOI 10.1257/jep.31.2.87,148harrell2015regression,Harrell,2015,Springer International Publishing,I,Methods,Textbook,Validation of survival models,Model evaluation,crossref DOI 10.1007/978-3-319-19425-7,149uno2011cstatistics,Uno et al.,2011,Statistics in Medicine,I,Methods,C-statistic for censored data,Discrimination measure,Hazard evaluation,crossref DOI 10.1002/sim.4154,150graf1999assessment,Graf et al.,1999,Statistics in Medicine,I,Methods,Brier score under censoring,IPCW Brier,Hazard evaluation,crossref DOI 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2529::AID-SIM274>3.0.CO;2-5,151court1939hedonic,Court,1939,The Dynamics of Automobile Demand,A,US automobiles 1920s-30s (GM),Hedonic regression of price on characteristics,First hedonic price index; quality-adjusted auto price change,Origin of the hedonic approach used to quality-adjust Quebec asking prices,url https://allengoodman.wayne.edu/Research/PUBS/Court_Hedonic.pdf,Verified via Goodman (1998) and Wayne State scan152griliches1961hedonic,Griliches,1961,The Price Statistics of the Federal Government,A,US new-car list prices 1937-59,"Log-linear hedonic regression, time dummies",Quality-adjusted auto prices rose far less than unadjusted list prices,Canonical hedonic vehicle index; template for AMLI quality adjustment,url https://www.nber.org/chapters/c6492,NBER chapter page verified (no DOI)153ohta1976automobile,Ohta & Griliches,1976,Household Production and Consumption,A,US new and used car prices 1955-71,Hedonic regressions on new and used cars,Hedonic coefficients stable across new/used; used prices reflect same characteristics,Direct precedent for hedonic treatment of used cars,url https://www.nber.org/books-and-chapters/household-production-and-consumption/automobile-prices-revisited-extensions-hedonic-hypothesis,NBER chapter page verified154kim1985lemons,Kim,1985,American Economic Review,B,Theory,Used-car market with asymmetric information,Market need not collapse; price-quality equilibria,Theory of used-car equilibrium,url https://ideas.repec.org/a/aea/aecrev/v75y1985i4p836-43.html,IDEAS/RePEc + OpenAlex verified; no DOI155bond1982lemons,Bond,1982,American Economic Review,B,US used pickup trucks (1977 survey),Repair-frequency test,No lemons effect after controlling age/mileage,Classic empirical test,url https://ideas.repec.org/a/aea/aecrev/v72y1982i4p836-40.html,IDEAS/RePEc verified; no DOI156lazear1986clearance,Lazear,1986,American Economic Review,C,Theory,Sequential pricing with demand uncertainty,Prices start high and fall with time on shelf; thin markets markdown faster,Core theory for markdown hazards of listings,url https://ideas.repec.org/a/aea/aecrev/v76y1986i1p14-32.html,IDEAS/RePEc verified; no DOI157varian1980sales,Varian,1980,American Economic Review,D,Theory,Model of sales,Randomized prices (sales) as equilibrium,Price dispersion within seller over time,url https://ideas.repec.org/a/aea/aecrev/v70y1980i4p651-59.html,IDEAS/RePEc + OpenAlex verified; no DOI158engel1996border,Engel & Rogers,1996,American Economic Review,F,US-Canada CPI,Border effect,Border equivalent to thousands of miles,Regional integration benchmark,url https://ideas.repec.org/a/aea/aecrev/v86y1996i5p1112-25.html,IDEAS/RePEc + Semantic Scholar verified; no DOI159caseshiller1989efficiency,Case & Shiller,1989,American Economic Review,H,US cities housing,Repeat-sales index and efficiency,Housing prices show predictable momentum,Repeat-sales index precedent,url https://ideas.repec.org/a/aea/aecrev/v79y1989i1p125-37.html,IDEAS/RePEc + Semantic Scholar verified; no DOI160kiefer1988duration,Kiefer,1988,Journal of Economic Literature,E,Methods,Survey,Economic duration data,Economic hazard survey,url https://ideas.repec.org/a/aea/jeclit/v26y1988i2p646-79.html,IDEAS/RePEc + OpenAlex verified; no DOI161genesove1997equity,Genesove & Mayer,1997,American Economic Review,D,Boston condos,Equity and time to sale,"High LTV sellers set higher asking prices, longer time to sale",Asking price and time-on-market tradeoff,url https://ideas.repec.org/a/aea/aecrev/v87y1997i3p255-69.html,IDEAS/RePEc verified; no DOI162ke2017lightgbm,Ke et al.,2017,Advances in Neural Information Processing Systems 30 (NIPS 2017),I,Methods,LightGBM,Efficient GBDT,Implementation,url https://proceedings.neurips.cc/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html,NeurIPS page verified163lundberg2017shap,Lundberg & Lee,2017,Advances in Neural Information Processing Systems 30 (NIPS 2017),I,Methods,SHAP values,Model explanation,Interpretation,url https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html,NeurIPS page verified164yanes2010depreciation,Yanes,2010,Proceedings of the 45th Annual Conference of the Canadian Transportation Research Forum,B,Canadian Red Book values by province,Depreciation estimation,Quebec vehicles depreciate slightly slower than rest of Canada,Only Canadian provincial depreciation evidence found,url https://ctrf.ca/wp-content/uploads/2014/07/47YanesDepreciationofLightDutyRoad.pdf,"Conference paper (CTRF), not peer-reviewed journal"165statcan2022usedvehicles,Taylor et al.,2022,Statistics Canada,H,Canadian CPI (J.D. Power dealer transactions),Hedonic time-dummy by geography and class,Used vehicles entered CPI May 2022 reference month,Official Canadian used-vehicle price measurement,url https://www150.statcan.gc.ca/n1/pub/62f0014m/62f0014m2022008-eng.htm,"Agency document, fetched"166bls2026usedcars,U.S. Bureau of Labor Statistics,2026,"Factsheet, last modified 20 May 2026",H,US CPI (J.D. Power),"Sample of 2-7 year-old vehicles, depreciation adjustment",Used-car CPI methodology,Official US used-car index,url https://www.bls.gov/cpi/factsheets/used-cars-and-trucks.htm,"Agency factsheet, fetched"167manheim2023methodology,Manheim Consulting (Cox Automotive),2023,"Technical note, January 2023 rebasing",H,Manheim US auctions,Mix/mileage/seasonal adjustment,Wholesale value index since 1997 base,Existing wholesale value index,url https://site.manheim.com/wp-content/uploads/sites/2/2023/07/Used-Vehicle-Summary-Methodology.pdf,Grey literature168cox2022dayssupply,Cox Automotive,2022,"Market Insights, 20 January 2022 (revised 17 February 2022)",H,vAuto listings,30-day sales pace days' supply,Days' supply is a liquidity-type measure,Existing liquidity-type measure,url https://www.coxautoinc.com/market-insights/used-vehicle-days-supply/,Grey literature169cbb2026index,Canadian Black Book,2026,"Web page, accessed 1 November 2026",H,Canadian wholesale values,Retention index 2-6 year-old vehicles,Canadian wholesale retention index,Existing Canadian index,url https://www.canadianblackbook.com/black-book-index/,Grey literature170cbb2026depreciation,Canadian Black Book & Fitch Ratings,2026,Canadian Black Book,B,Canadian wholesale values,Industry depreciation report,Retention/recovery rates by segment; Quebec EV market,Canadian industry benchmark for depreciation,url https://www.canadianblackbook.com/wp-content/uploads/2026/08/CBB-Fitch-2026-Updated-2.pdf,Grey literature171autotrader2024priceindex,AutoTrader.ca,2024,"Editorial report, 22 July 2024",H,AutoTrader.ca listings,Average listing price adjusted for make/age,31% of listings had price drops June 2024,Canadian listing-price index precedent,url https://www.autotrader.ca/editorial/car-news/autotrader-price-index-june-2024/,Grey literature172cargurus2026imv,CarGurus,2026,"Web page, accessed 1 November 2026",H,CarGurus listings,Instant Market Value,Comparable-listing valuation,Listing-based valuation,url https://www.cargurus.ca/Cars/aboutCargurus.html,"Grey literature; curl 406, verified via search listing"173iseecars2013pricedrops,iSeeCars.com,2013,Study of 30 million used-car listings; press release,H,30M US listings,Listing price-change tracking,Price cut 1-6 times per listing; first cut ~5%,Only large-scale markdown stats found,url https://www.iseecars.com/wait-for-used-car-deals-2013-study,Grey literature174
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