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Dawit Zerom

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Manzan, Sebastiano & Zerom, Dawit, 2009. "Are Macroeconomic Variables Useful for Forecasting the Distribution of U.S. Inflation?," MPRA Paper 14387, University Library of Munich, Germany.

    Cited by:

    1. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    2. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    3. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    4. Chikashi Tsuji, 2016. "Dynamic Relations of Consumer Prices: A Case Study of Recent Effects on the Japanese Headline CPI," Journal of Social Science Studies, Macrothink Institute, vol. 3(2), pages 28-39, July.
    5. Fabio Busetti & Michele Caivano & Davide Delle Monache & Claudia Pacella, 2020. "The time-varying risk of Italian GDP," Temi di discussione (Economic working papers) 1288, Bank of Italy, Economic Research and International Relations Area.
    6. Barbara Rossi & Tatevik Sekhposyan, 2013. "Evaluating predictive densities of U.S. output growth and inflation in a large macroeconomic data set," Economics Working Papers 1370, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers 22-25, Federal Reserve Bank of Cleveland.
    8. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2019. "Domestic and global determinants of inflation: evidence from expectile regression," Temi di discussione (Economic working papers) 1225, Bank of Italy, Economic Research and International Relations Area.
    9. J. David López-Salido & Francesca Loria, 2020. "Inflation at Risk," Finance and Economics Discussion Series 2020-013, Board of Governors of the Federal Reserve System (U.S.).
    10. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    11. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    12. Raffaella Giacomini & Barbara Rossi, 2014. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Working Papers 819, Barcelona School of Economics.
    13. Ignacio Garr'on & C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "International vulnerability of inflation," Papers 2410.20628, arXiv.org, revised Oct 2024.
    14. James Mitchell & Aubrey Poon & Dan Zhu, 2022. "Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics," Working Papers 22-12R, Federal Reserve Bank of Cleveland, revised 11 Apr 2023.
    15. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    16. De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.
    17. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    18. Ivașcu Codruț, 2023. "Can Machine Learning Models Predict Inflation?," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1748-1756, July.
    19. Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2023. "Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model," CEPR Discussion Papers 18549, C.E.P.R. Discussion Papers.
    20. De Gooijer, Jan G. & Zerom, Dawit, 2019. "Semiparametric quantile averaging in the presence of high-dimensional predictors," International Journal of Forecasting, Elsevier, vol. 35(3), pages 891-909.
    21. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
    22. Anthoulla Phella, 2020. "Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach," Papers 2010.12263, arXiv.org.
    23. Alex Tagliabracci, 2020. "Asymmetry in the conditional distribution of euro-area inflation," Temi di discussione (Economic working papers) 1270, Bank of Italy, Economic Research and International Relations Area.
    24. Christos Floros & Emilios Galariotis & Konstantinos Gkillas & Efstathios Magerakis & Constantin Zopounidis, 2024. "Time-varying firm cash holding and economic policy uncertainty nexus: a quantile regression approach," Annals of Operations Research, Springer, vol. 341(2), pages 859-895, October.
    25. Fabio Busetti & Michele Caivano & Lisa Rodano, 2015. "On the conditional distribution of euro area inflation forecast," Temi di discussione (Economic working papers) 1027, Bank of Italy, Economic Research and International Relations Area.
    26. Jiawen Luo & Shengjie Fu & Oguzhan Cepni & Rangan Gupta, 2024. "Climate Risks and Forecastability of US Inflation: Evidence from Dynamic Quantile Model Averaging," Working Papers 202420, University of Pretoria, Department of Economics.
    27. S. Béreau & V. Faubert & K. Schmidt, 2018. "Explaining and Forecasting Euro Area Inflation: the Role of Domestic and Global Factors," Working papers 663, Banque de France.
    28. Garrón Vedia, Ignacio & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2024. "International vulnerability of inflation," DES - Working Papers. Statistics and Econometrics. WS 44814, Universidad Carlos III de Madrid. Departamento de Estadística.
    29. Sebastiano Manzan, 2015. "Forecasting the Distribution of Economic Variables in a Data-Rich Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 144-164, January.
    30. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    31. López-Salido, David & Loria, Francesca, 2024. "Inflation at risk," Journal of Monetary Economics, Elsevier, vol. 145(S).
    32. Yoshibumi Makabe & Yoshihiko Norimasa, 2022. "The Term Structure of Inflation at Risk: A Panel Quantile Regression Approach," Bank of Japan Working Paper Series 22-E-4, Bank of Japan.
    33. Skufi, Lorena & Papavangjeli, Meri, 2022. "The Changing Dynamics Of Albanian Inflation: A Quantile Regression Approach," MPRA Paper 116115, University Library of Munich, Germany.

  2. Emi Nakamura & Dawit Zerom, 2009. "Accounting for Incomplete Pass-Through," NBER Working Papers 15255, National Bureau of Economic Research, Inc.

    Cited by:

    1. Alfredo Pistelli & Víctor Riquelme, 2010. "Auge y caída de precios de commodities y su impacto sobre precios domésticos: Comparación internacional," Working Papers Central Bank of Chile 567, Central Bank of Chile.
    2. Mi Dai & Jianwei Xu, 2013. "Industry-specific Real Effective Exchange Rate for China: 2000–2009," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(5), pages 100-120, September.
    3. Mario J. Crucini & Anthony Landry, 2012. "Accounting for Real Exchange Rates Using Micro-data," NBER Working Papers 17812, National Bureau of Economic Research, Inc.
    4. Gaudin, Germain, 2015. "Pass-through, vertical contracts, and bargains," DICE Discussion Papers 202, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    5. Lloyd, T. & McCorriston, S. & Lan, H. & Morgan, W., 2018. "Price Transmission at the Micro Level: What Accounts for the Heterogeneity?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277063, International Association of Agricultural Economists.
    6. Brancatelli, Calogero & Inderst, Roman, 2022. "Income and Consumption over the Business Cycle: Evidence from Matched Administrative Data," CEPR Discussion Papers 16883, C.E.P.R. Discussion Papers.
    7. Esteban Jaimovich & Boryana Madzharova & Vincenzo Merella, 2021. "Inside the white box: Unpacking the determinants of quality and vertical specialization," Working Papers 75, Red Nacional de Investigadores en Economía (RedNIE).
    8. José De Gregorio & Pablo García & Emiliano Luttini & Marco Rojas, 2023. "From Dominant to Producer Currency Pricing: Dynamics of Chilean Exports," Working Papers Central Bank of Chile 970, Central Bank of Chile.
    9. Giancarlo Corsetti & Luca Dedola & Sylvain Leduc, 2010. "Optimal monetary policy in open economies," Working Paper Series 2010-13, Federal Reserve Bank of San Francisco.
    10. Keith Head & Thierry Mayer, 2023. "Poor Substitutes? Counterfactual Methods in IO and Trade Compared," Post-Print hal-04347301, HAL.
    11. Makoto Nirei & José A. Scheinkman, 2021. "Repricing Avalanches," CARF F-Series CARF-F-510, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    12. Ha,Jongrim & Stocker,Marc & Yilmazkuday,Hakan, 2019. "Inflation and Exchange Rate Pass-Through," Policy Research Working Paper Series 8780, The World Bank.
    13. Zareh Asatryan & David Gomtsyan, 2020. "The Incidence of VAT Evasion," CESifo Working Paper Series 8666, CESifo.
    14. Morakinyo O. Adetutu & Thomas G. Weyman-Jones, 2019. "Fuel Subsidies Versus Market Power: Is There a Countervailing Second-Best Optimum?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1619-1646, December.
    15. Michael A. Anderson & Kurt C. Schaefer & Stephen L. S. Smith, 2013. "Can Price Dispersion Reveal Distance-Related Trade Costs? Evidence from the United States," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 13(2), pages 151-173, June.
    16. Cole, Matthew T. & Eckel, Carsten, 2018. "Tariffs and markups in retailing," Journal of International Economics, Elsevier, vol. 113(C), pages 139-153.
    17. Philip G. Gayle & Ying Lin, 2022. "Market effects of new product introduction: Evidence from the brew‐at‐home coffee market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 525-557, August.
    18. Natalia Fabra & Mar Reguant, 2013. "Pass-through of Emissions Costs in Electricity Markets," NBER Working Papers 19613, National Bureau of Economic Research, Inc.
    19. Michael E. Waugh, 2023. "Heterogeneous Agent Trade," NBER Working Papers 31810, National Bureau of Economic Research, Inc.
    20. De Santis, Roberto A. & Tornese, Tommaso, 2023. "Energy supply shocks’ nonlinearities on output and prices," Working Paper Series 2834, European Central Bank.
    21. Andrea Stella, 2014. "The Magnitude of Menu Costs: A Structural Estimation," 2014 Meeting Papers 436, Society for Economic Dynamics.
    22. Serafin Frache & Rodrigo Lluberas & Javier Turen, 2021. "Belief-Dependent Pricing Decisions," Documentos de Trabajo 564, Instituto de Economia. Pontificia Universidad Católica de Chile..
    23. Yin Chu & J. Scott Holladay & Jacob LaRiviere, 2017. "Opportunity Cost Pass-through from Fossil Fuel Market Prices to Procurement Costs of the U.S. Power Producers," Working Papers 2017-02, University of Tennessee, Department of Economics.
    24. Sergei Kichko & Pierre M. Picard, 2023. "On the effects of income heterogeneity in monopolistically competitive markets," DEM Discussion Paper Series 23-02, Department of Economics at the University of Luxembourg.
    25. Ariel Burstein, 2010. "The Research Agenda: Ariel Burstein on International Trade and Macroeconomics," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 12(1), November.
    26. Mitsuru Igami, 2015. "Market Power in International Commodity Trade: The Case of Coffee," Journal of Industrial Economics, Wiley Blackwell, vol. 63(2), pages 225-248, June.
    27. Eyster, Erik & Madarász, Kristóf & Michaillat, Pascal, 2020. "Pricing under fairness concerns," LSE Research Online Documents on Economics 106567, London School of Economics and Political Science, LSE Library.
    28. Auer, Raphael & Schoenle, Raphael, 2015. "Market Structure and Exchange Rate Pass-Through," CEPR Discussion Papers 10585, C.E.P.R. Discussion Papers.
    29. Ziaul Haq Adnan & Ertunga Özelkan, 2019. "Bullwhip effect in pricing under different supply chain game structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(5), pages 393-404, October.
    30. Naegele, Helene, 2020. "Where does the Fair Trade money go? How much consumers pay extra for Fair Trade coffee and how this value is split along the value chain," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 133, pages 1-1.
    31. Pierre Dubois & Rachel Griffith & Martin O'Connell, 2022. "The Use of Scanner Data for Economics Research," Post-Print hal-03770614, HAL.
    32. Guojun He & Jeffrey T. LaFrance & Jeffrey M. Perloff & Richard Volpe, 2024. "How do Everyday-Low-Price Supermarkets Adjust Their Prices?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(1), pages 117-146, February.
    33. Montag, Felix & Mamrak, Robin & Sagimuldina, Alina & Schnitzer, Monika, 2023. "Imperfect price information, market power, and tax pass-through," Working Papers 337, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    34. Nathan H. Miller, 2008. "Competition When Consumers Value Firm Scope," EAG Discussions Papers 200807, Department of Justice, Antitrust Division.
    35. Bonnet, Céline & Requillart, Vincent, 2010. "Is The Eu Sugar Policy Reform Likely To Increase Obesity?," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116414, European Association of Agricultural Economists.
    36. Villas-Boas, Sofia B & Bonnet, Celine & Dubois, Pierre, 2013. "Empirical Evidence on the Role of Non Linear Wholesale Pricing and Vertical Restraints on Cost Pass-Through," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt61x6k2m7, Department of Agricultural & Resource Economics, UC Berkeley.
    37. Hellerstein, Rebecca & Villas-Boas, Sofia B., 2010. "Outsourcing and pass-through," Journal of International Economics, Elsevier, vol. 81(2), pages 170-183, July.
    38. Sebastian Heise & Fatih Karahan & Ayşegül Şahin, 2022. "The Missing Inflation Puzzle: The Role of the Wage‐Price Pass‐Through," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(S1), pages 7-51, February.
    39. Rachel Griffith & Lars Nesheim & Martin O'Connell, 2015. "Income effects and the welfare consequences of tax in differentiated product oligopoly," CeMMAP working papers CWP23/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    40. Nathan H. Miller & Marc Remer & Conor Ryan & Gloria Sheu, 2016. "Pass-Through and the Prediction of Merger Price Effects," Journal of Industrial Economics, Wiley Blackwell, vol. 64(4), pages 683-709, December.
    41. Jan De Loecker & Pinelopi Koujianou Goldberg & Amit Khandelwal & Nina Pavcnik, 2012. "Prices, markups and trade reform," Working Papers of Department of Economics, Leuven 507294, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    42. Tasadduq Imam & Kevin Tickle & Abdullahi Ahmed & William Guo, 2012. "Linear Relationship Between The Aud/Usd Exchange Rate And The Respective Stock Market Indices: A Computational Finance Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 19-42, January.
    43. Raphael Auer & Ariel Burstein & Sarah M. Lein, 2021. "Exchange Rates and Prices: Evidence from the 2015 Swiss Franc Appreciation," NBER Working Papers 28404, National Bureau of Economic Research, Inc.
    44. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," International Journal of Industrial Organization, Elsevier, vol. 86(C).
    45. Sergey Kichko, 2018. "Competition, Land Price, and City Size," HSE Working papers WP BRP 190/EC/2018, National Research University Higher School of Economics.
    46. Yonezawa, Koichi & Gomez, Miguel I. & Richards, Timothy J., 2018. "The Robinson-Patman Act and Vertical Relationships in Food Retailing," 2018 Annual Meeting, August 5-7, Washington, D.C. 274204, Agricultural and Applied Economics Association.
    47. Fichera, Eleonora & von Hinke, Stephanie, 2020. "The response to nutritional labels: Evidence from a quasi-experiment," Journal of Health Economics, Elsevier, vol. 72(C).
    48. Konings, Jozef & Amiti, Mary & Itskhoki, Oleg, 2016. "International Shocks and Domestic Prices: How Large Are Strategic Complementarities?," CEPR Discussion Papers 11182, C.E.P.R. Discussion Papers.
    49. Pinelopi K. Goldberg & Rebecca Hellerstein, 2007. "A framework for identifying the sources of local currency price stability with an empirical application," Staff Reports 287, Federal Reserve Bank of New York.
    50. Mei Dong & Toshiaki Shoji & Yuki Teranishi, 2021. "Product Cycles and Prices: a Search Foundation," Working Papers e161, Tokyo Center for Economic Research.
    51. Natalie Chen & Luciana Juvenal, 2014. "Quality, Trade, and Exchange Rate Pass-Through," IMF Working Papers 2014/042, International Monetary Fund.
    52. Wilko Letterie & Øivind Anti Nilsen, 2016. "Price Changes - Stickiness and Internal Coordination in Multiproduct Firms," CESifo Working Paper Series 5701, CESifo.
    53. Mary Amiti & Oleg Itskhoki & Jozef Konings, 2012. "Importers, Exporters, and Exchange Rate Disconnect," NBER Working Papers 18615, National Bureau of Economic Research, Inc.
    54. Mirko Abbritti, 2012. "Product Market Frictions, Bargaining and Pass-Through," Faculty Working Papers 19/12, School of Economics and Business Administration, University of Navarra.
    55. Hovhannisyan, Vardges & Stiegert, Kyle W., 2011. "Imperfect Competition between Milk Manufacturers and Retailers in a Midwestern State in the U.S," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98844, Southern Agricultural Economics Association.
    56. Juan Esteban Carranza & Alejandra Ximena González-Ramírez & Juan Sebastián Vélez-Velásquez & Alex Perez, 2023. "Exchange rate pass-through in the Colombian car market," Borradores de Economia 1240, Banco de la Republica de Colombia.
    57. Xavier Jaravel & Erick Sager, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," 2019 Meeting Papers 1320, Society for Economic Dynamics.
    58. Eric Anderson & Benjamin A. Malin & Emi Nakamura & Duncan Simester & Jón Steinsson, 2013. "Informational Rigidities and the Stickiness of Temporary Sales," NBER Working Papers 19350, National Bureau of Economic Research, Inc.
    59. M. Shahe Emran & Dilip Mookherjee & Forhad Shilpi & M. Helal Uddin, 2020. "Credit Rationing and Pass-Through in Supply Chains: Theory and Evidence from Bangladesh," NBER Working Papers 26615, National Bureau of Economic Research, Inc.
    60. Knotek, Edward S., 2024. "The roles of price points and menu costs in price rigidity," Journal of Monetary Economics, Elsevier, vol. 145(C).
    61. Georg H. Strasser, 2011. "Exchange Rate Pass-Through and Credit Constraints: Firms Price to Market as Long as They Can," Boston College Working Papers in Economics 788, Boston College Department of Economics, revised 13 Feb 2012.
    62. Janine Aron & Ronald Macdonald & John Muellbauer, 2014. "Exchange Rate Pass-Through in Developing and Emerging Markets: A Survey of Conceptual, Methodological and Policy Issues, and Selected Empirical Findings," Journal of Development Studies, Taylor & Francis Journals, vol. 50(1), pages 101-143, January.
    63. Ida Wolden Bache & Kjersti Næss & Tommy Sveen, 2009. "Revisiting the importance of non-tradable goods' prices in cyclical real exchange rate fluctuations," Working Paper 2009/03, Norges Bank.
    64. Fabrice Etilé & Sébastien Lecocq & Christine Boizot-Szantai, 2021. "Market heterogeneity and the distributional incidence of soft-drink taxes: evidence from France," Post-Print hal-03553704, HAL.
    65. Morten O. Ravn & Stephanie Schmitt-Grohe & Martin Uribe, 2008. "Incomplete cost pass-through under deep habits," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    66. Emran,M. Shahe & Mookherjee,Dilip & Shilpi,Forhad J. & Uddin,M. Helal, 2016. "Do consumers benefit from supply chain intermediaries ? evidence from a policy experiment in the edible oils market in Bangladesh," Policy Research Working Paper Series 7745, The World Bank.
    67. Richards, Timothy J. & Allender, William J. & Hamilton, Stephen F., 2012. "Commodity price inflation, retail pass-through and market power," International Journal of Industrial Organization, Elsevier, vol. 30(1), pages 50-57.
    68. Mark Witte & Rachel Williams, 2014. "Duopolists’ Retail Pricing Behavior in Multiple Markets," Journal of Industry, Competition and Trade, Springer, vol. 14(1), pages 67-81, March.
    69. Andrea Fracasso & Angelo Secchi & Chiara Tomasi, 2022. "Export pricing and exchange rate expectations under uncertainty," PSE-Ecole d'économie de Paris (Postprint) halshs-03673148, HAL.
    70. Christian Hellwig & Ariel Burstein, 2007. "Prices and Market Shares in a Menu Cost Model," 2007 Meeting Papers 327, Society for Economic Dynamics.
    71. Fernando Alvarez & Hervé Le Bihan & Francesco Lippi, 2016. "The Real Effects of Monetary Shocks in Sticky Price Models: A Sufficient Statistic Approach," American Economic Review, American Economic Association, vol. 106(10), pages 2817-2851, October.
    72. Hassan Afrouzi & Andres Drenik & Ryan Kim, 2020. "Growing by the Masses - Revisiting the Link between Firm Size and Market Power," CESifo Working Paper Series 8633, CESifo.
    73. A. Auer, Raphael & Chaney, Thomas & Sauré, Philip, 2018. "Quality pricing-to-market," Journal of International Economics, Elsevier, vol. 110(C), pages 87-102.
    74. Bonnet, Céline & Réquillart, Vincent, 2013. "Sugar Policy Reform, Tax Policy and Price Transmission in the Soft Drink Industry," TSE Working Papers 13-373, Toulouse School of Economics (TSE).
    75. Correa-Giraldo, Manuel & Garcia-Rendon, John J. & Perez, Alex, 2021. "Strategic behaviors and transfer of wholesale costs to retail prices in the electricity market: Evidence from Colombia," Energy Economics, Elsevier, vol. 99(C).
    76. Chen, Natalie & Chung, Wanyu & Novy, Dennis, 2019. "Vehicle currency pricing and exchange rate pass-through," LSE Research Online Documents on Economics 102748, London School of Economics and Political Science, LSE Library.
    77. Raphael A. Auer, 2015. "Exchange Rate Pass‐Through, Domestic Competition, and Inflation: Evidence from the 2005–08 Revaluation of the Renminbi," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(8), pages 1617-1650, December.
    78. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    79. Erik Eyster & Kristof Madarasz & Pascal Michaillat, 2014. "The Curse of Inflation," Discussion Papers 1430, Centre for Macroeconomics (CFM).
    80. Hjortsø, Ida & Forbes, Kristin & Nenova, Tsvetelina, 2018. "The Shocks Matter: Improving our Estimates of Exchange Rate Pass-Through," CEPR Discussion Papers 13037, C.E.P.R. Discussion Papers.
    81. Noton, Carlos, 2009. "Structural Estimation of Price Adjustment Costs in the European Car Market," Department of Economics, Working Paper Series qt29643386, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    82. Mirko Abbritti & Tommaso Trani, 2014. "Search and Bargaining in the Product Market and Price Rigidities," Faculty Working Papers 09/14, School of Economics and Business Administration, University of Navarra.
    83. Mogendi, Justine Ongeri & Nganga, Tabitha Kiriti & Barasa, Laura Nelima, 2023. "Pass-Through Effects of the East African Community Common External Tariffs on Kenya's Domestic Prices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 38(3), pages 466-495.
    84. Oleksandr Shepotylo & Volodymyr Vakhitov, 2020. "Market power, productivity and distribution of wages: theory and evidence with micro data," Working Papers 387, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    85. Carbonnier, Clément, 2014. "The incidence of non-linear price-dependent consumption taxes," Journal of Public Economics, Elsevier, vol. 118(C), pages 111-119.
    86. Linn, Joshua & Muehlenbachs, Lucija, 2018. "The heterogeneous impacts of low natural gas prices on consumers and the environment," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 1-28.
    87. Giulietti, Monica & Otero, Jesús & Waterson, Michael, 2020. "Rigidities and adjustments of daily prices to costs: Evidence from supermarket data," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    88. George Deltas & Michael Polemis, 2024. "Price Pass-Through Dependence on the Source of Cost Increases: Evidence from the European Gasoline Market," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(2), pages 595-626, September.
    89. Steven Berry & Philip Haile, 2023. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Cowles Foundation Discussion Papers 2357, Cowles Foundation for Research in Economics, Yale University.
    90. Melo, Carolina & Moita, Rodrigo & Sunao, Stefanie, 2021. "Passing through the supply chain: Implications for market power," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    91. Rodnyansky, Alexander & Goetz, Daniel, 2020. "Exchange Rate Shocks and Quality Adjustments," CEPR Discussion Papers 15248, C.E.P.R. Discussion Papers.
    92. Research and Statistics Department, 2018. "Compilation Method of the gWholesale Services Price Index hin Japan @ @ @ @," Bank of Japan Research Papers 18-06-29, Bank of Japan.
    93. Juan M. C. Larrosa & Leandro Meller & Juan I. Uriarte & Gonzalo R. Ramírez Muñoz de Toro, 2023. "Retail coffee pricing dynamics in Argentina," SN Business & Economics, Springer, vol. 3(8), pages 1-21, August.
    94. Christos Genakos & Mario Pagliero, 2019. "Competition and pass-through: evidence from isolated markets," CEP Discussion Papers dp1638, Centre for Economic Performance, LSE.
    95. Eike Berner & Laura Birg & Dominik Boddin, 2017. "Retailers and Consumers: The Pass-through of Import Price Changes," The World Economy, Wiley Blackwell, vol. 40(7), pages 1314-1344, July.
    96. Durevall, Dick, 2017. "Cost Pass-Through in the Swedish Coffee Market," Working Papers in Economics 697, University of Gothenburg, Department of Economics.
    97. Andrew T Young & Daniel Levy, 2014. "Explicit Evidence of an Implicit Contract," Post-Print hal-02387739, HAL.
    98. Bekkers, Eddy & Brockmeier, Martina & Francois, Joseph & Yang, Fan, 2017. "Local Food Prices and International Price Transmission," World Development, Elsevier, vol. 96(C), pages 216-230.
    99. Berger, David & Faust, Jon & Rogers, John H. & Steverson, Kai, 2012. "Border prices and retail prices," Journal of International Economics, Elsevier, vol. 88(1), pages 62-73.
    100. Brent Neiman, 2010. "A State-Dependent Model of Intermediate Goods Pricing," NBER Working Papers 16283, National Bureau of Economic Research, Inc.
    101. Youngmin BAEK & HAYAKAWA Kazunobu & TSUBOTA Kenmei & URATA Shujiro & YAMANOUCHI Kenta, 2019. "Tariff Pass-through in Wholesaling: Evidence from Firm-level Data in Japan," Discussion papers 19064, Research Institute of Economy, Trade and Industry (RIETI).
    102. Sara Fisher Ellison & Christopher Snyder & Hongkai Zhang, 2018. "Costs of Managerial Attention and Activity as a Source of Sticky Prices: Structural Estimates from an Online Market," NBER Working Papers 24680, National Bureau of Economic Research, Inc.
    103. Podhorsky, Andrea, 2015. "A positive analysis of Fairtrade certification," Journal of Development Economics, Elsevier, vol. 116(C), pages 169-185.
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    2. Noh, Hohsuk & Lee, Eun, 2012. "Component Selection in Additive Quantile Regression Models," LIDAM Discussion Papers ISBA 2012021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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    Cited by:

    1. Mohd Effendi @ Ewan Mohd Matore* & Ahmad Zamri Khairani, 2018. "Comparison of Rasch Model Logits and Likert Mean Score in Testing the Normality Assumption," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 75-82:6.

  5. Leibtag, Ephraim S. & Nakamura, Alice & Nakamura, Emi & Zerom, Dawit, 2007. "Cost Pass-Through In The U.S. Coffee Industry," Economic Research Report 7253, United States Department of Agriculture, Economic Research Service.

    Cited by:

    1. Ziaul Haq Adnan & Ertunga Özelkan, 2019. "Bullwhip effect in pricing under different supply chain game structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(5), pages 393-404, October.
    2. Daniel Grandisky Lerner & Helder Marcos Freitas Pereira & Maria Sylvia Macchione Saes & Gustavo Magalhães de Oliveira, 2021. "When Unfair Trade Is Also at Home: The Economic Sustainability of Coffee Farms," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    3. Shi, Wenming & Wang, Ganggang & Zhao, Xu & Feng, Xuehao & Wu, Jun, 2018. "Price determination in the electrolytic aluminum industry: The role of electricity prices," Resources Policy, Elsevier, vol. 59(C), pages 274-281.
    4. Berck, Peter & Leibtag, Ephraim S. & Villas-Boas, Sofia Berto & Solis, Alex, 2009. "Patterns of Pass-through of Commodity Price Shocks to Retail Prices," CUDARE Working Papers 51600, University of California, Berkeley, Department of Agricultural and Resource Economics.
    5. Podhorsky, Andrea, 2015. "A positive analysis of Fairtrade certification," Journal of Development Economics, Elsevier, vol. 116(C), pages 169-185.
    6. Arnade, Carlos & Cooke, Bryce & Gale, Fred, 2017. "Agricultural price transmission: China relationships with world commodity markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 28-40.
    7. de Paula, Aureo & Hansman, Christopher & Hong, Harrison & Singh, Vishal, 2020. "A Sticky-Price View of Hoarding," CEPR Discussion Papers 14633, C.E.P.R. Discussion Papers.
    8. Gregory, Alexandra & Featherstone, Allen M., 2008. "Nonparametric Efficiency Analysis for Coffee Farms in Puerto Rico," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6765, Southern Agricultural Economics Association.
    9. Emi Nakamura, 2008. "Pass-Through in Retail and Wholesale," American Economic Review, American Economic Association, vol. 98(2), pages 430-437, May.
    10. Atanu Ghoshray & Sushil Mohan, 2021. "Coffee price dynamics: an analysis of the retail-international price margin [Commodity dependence and development: suggestions to tackle the commodities problem]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 983-1006.
    11. Durevall, Dick, 2017. "Cost Pass-Through in the Swedish Coffee Market," HUI Working Papers 120, HUI Research.
    12. Koopmans, Carl & Lieshout, Rogier, 2016. "Airline cost changes: To what extent are they passed through to the passenger?," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 1-11.
    13. Canyakmaz, Caner & Özekici, Süleyman & Karaesmen, Fikri, 2019. "An inventory model where customer demand is dependent on a stochastic price process," International Journal of Production Economics, Elsevier, vol. 212(C), pages 139-152.
    14. Felt, Marie-Hélène & Hayashi, Fumiko & Stavins, Joanna & Welte, Angelika, 2023. "Regressive effects of payment card pricing and merchant cost pass-through in the United States and Canada," Journal of Banking & Finance, Elsevier, vol. 154(C).

  6. Jan G. de Gooijer & Dawit Zerom, 2002. "On Conditional Density Estimation," Tinbergen Institute Discussion Papers 02-032/4, Tinbergen Institute.

    Cited by:

    1. Han-Ying Liang & Jong-Il Baek, 2016. "Asymptotic normality of conditional density estimation with left-truncated and dependent data," Statistical Papers, Springer, vol. 57(1), pages 1-20, March.
    2. Jonas Rothfuss & Fabio Ferreira & Simon Walther & Maxim Ulrich, 2019. "Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks," Papers 1903.00954, arXiv.org, revised Apr 2019.
    3. Ann-Kathrin Bott & Michael Kohler, 2017. "Nonparametric estimation of a conditional density," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 189-214, February.
    4. Ann-Kathrin Bott & Michael Kohler, 2016. "Adaptive Estimation of a Conditional Density," International Statistical Review, International Statistical Institute, vol. 84(2), pages 291-316, August.
    5. A. Delaigle & P. Hall, 2016. "Approximating fragmented functional data by segments of Markov chains," Biometrika, Biometrika Trust, vol. 103(4), pages 779-799.
    6. Akkal Fatima & Kadiri Nadia & Rabhi Abbes, 2021. "Asymptotic Normality of Conditional Density and Conditional Mode in the Functional Single Index Model," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(1), pages 1-24, March.
    7. Holmes, Michael P. & Gray, Alexander G. & Isbell Jr., Charles Lee, 2010. "Fast kernel conditional density estimation: A dual-tree Monte Carlo approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1707-1718, July.
    8. Kateřina Konečná & Ivanka Horová, 2019. "Maximum likelihood method for bandwidth selection in kernel conditional density estimate," Computational Statistics, Springer, vol. 34(4), pages 1871-1887, December.
    9. Wen, Kuangyu & Wu, Ximing, 2017. "Smoothed kernel conditional density estimation," Economics Letters, Elsevier, vol. 152(C), pages 112-116.
    10. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    11. Liang, Han-Ying & Liu, Ai-Ai, 2013. "Kernel estimation of conditional density with truncated, censored and dependent data," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 40-58.
    12. Wang, Xiao-Feng & Ye, Deping, 2015. "Conditional density estimation in measurement error problems," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 38-50.
    13. Manzan, Sebastiano & Zerom, Dawit, 2008. "A bootstrap-based non-parametric forecast density," International Journal of Forecasting, Elsevier, vol. 24(3), pages 535-550.
    14. Xiong, Xianzhu & Ou, Meijuan & Chen, Ailian, 2021. "Reweighted Nadaraya–Watson estimation of conditional density function in the right-censored model," Statistics & Probability Letters, Elsevier, vol. 168(C).
    15. De Gooijer, Jan G. & Henter, Gustav Eje & Yuan, Ao, 2022. "Kernel-based hidden Markov conditional densities," Computational Statistics & Data Analysis, Elsevier, vol. 169(C).
    16. Michael Kohler & Adam Krzyżak, 2020. "Estimating quantiles in imperfect simulation models using conditional density estimation," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 123-155, February.
    17. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Kim Huynh & David Jacho-Chavez, 2007. "Conditional density estimation: an application to the Ecuadorian manufacturing sector," Economics Bulletin, AccessEcon, vol. 3(62), pages 1-6.

Articles

  1. Zvi Drezner & Dawit Zerom, 2024. "A refinement of the gravity model for competitive facility location," Computational Management Science, Springer, vol. 21(1), pages 1-18, June.

    Cited by:

    1. Malgorzata Miklas-Kalczynska, 2024. "Extensions to Competitive Facility Location with Multi-purpose Trips," Networks and Spatial Economics, Springer, vol. 24(3), pages 565-588, September.

  2. Tammy Drezner & Zvi Drezner & Dawit Zerom, 2023. "The Obnoxious Competitive Facility Location Model," Networks and Spatial Economics, Springer, vol. 23(4), pages 885-903, December.

    Cited by:

    1. Drezner, Zvi & Eiselt, H.A., 2024. "Competitive location models: A review," European Journal of Operational Research, Elsevier, vol. 316(1), pages 5-18.

  3. Tammy Drezner & Zvi Drezner & Dawit Zerom, 2022. "An extension of the gravity model," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(12), pages 2732-2740, December.

    Cited by:

    1. Drezner, Zvi & Eiselt, H.A., 2024. "Competitive location models: A review," European Journal of Operational Research, Elsevier, vol. 316(1), pages 5-18.
    2. Zvi Drezner & Dawit Zerom, 2023. "Competitive facility location under attrition," Computational Management Science, Springer, vol. 20(1), pages 1-19, December.

  4. Tammy Drezner & Zvi Drezner & Dawit Zerom, 2020. "Facility Dependent Distance Decay in Competitive Location," Networks and Spatial Economics, Springer, vol. 20(4), pages 915-934, December.

    Cited by:

    1. Tammy Drezner & Morton O’Kelly & Zvi Drezner, 2023. "Multipurpose shopping trips and location," Annals of Operations Research, Springer, vol. 321(1), pages 191-208, February.
    2. Drezner, Zvi & Eiselt, H.A., 2024. "Competitive location models: A review," European Journal of Operational Research, Elsevier, vol. 316(1), pages 5-18.
    3. Tammy Drezner & Zvi Drezner & Dawit Zerom, 2023. "The Obnoxious Competitive Facility Location Model," Networks and Spatial Economics, Springer, vol. 23(4), pages 885-903, December.
    4. Xianyuan Chang & Zhaoping Wu & Yi Chen & Yuanyuan Du & Longfei Shang & Ying Ge & Jie Chang & Guofu Yang, 2021. "The Booming Number of Museums and Their Inequality Changes in China," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    5. Dolores R. Santos-Peñate & Rafael R. Suárez-Vega & Carmen Florido de la Nuez, 2023. "A Location-allocation Model for Bio-waste Management in the Hospitality Sector," Networks and Spatial Economics, Springer, vol. 23(3), pages 611-639, September.
    6. Zvi Drezner & Dawit Zerom, 2023. "Competitive facility location under attrition," Computational Management Science, Springer, vol. 20(1), pages 1-19, December.

  5. De Gooijer Jan G. & Zerom Dawit, 2020. "Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-15, January.

    Cited by:

    1. Jan G. De Gooijer, 2023. "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 407-424, June.

  6. De Gooijer, Jan G. & Zerom, Dawit, 2019. "Semiparametric quantile averaging in the presence of high-dimensional predictors," International Journal of Forecasting, Elsevier, vol. 35(3), pages 891-909.

    Cited by:

    1. Roger M. Cooke, 2023. "Averaging quantiles, variance shrinkage, and overconfidence," Futures & Foresight Science, John Wiley & Sons, vol. 5(1), March.
    2. Jan G. De Gooijer, 2023. "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 407-424, June.
    3. De Gooijer Jan G. & Zerom Dawit, 2020. "Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-15, January.

  7. Kong, Yinfei & Li, Yujie & Zerom, Dawit, 2019. "Screening and selection for quantile regression using an alternative measure of variable importance," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 435-455.

    Cited by:

    1. Honda, Toshio & 本田, 敏雄 & Lin, Chien-Tong, 2022. "Forward variable selection for ultra-high dimensional quantile regression models," Discussion Papers 2021-02, Graduate School of Economics, Hitotsubashi University.
    2. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    3. Priya Kedia & Damitri Kundu & Kiranmoy Das, 2023. "A Bayesian variable selection approach to longitudinal quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 149-168, March.
    4. Hongqi Chen & Ji Hyung Lee, 2024. "Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach," Papers 2410.15097, arXiv.org.
    5. Toshio Honda & Chien-Tong Lin, 2023. "Forward variable selection for ultra-high dimensional quantile regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(3), pages 393-424, June.
    6. Eun Ryung Lee & Seyoung Park & Sang Kyu Lee & Hyokyoung G. Hong, 2023. "Quantile forward regression for high-dimensional survival data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(4), pages 769-806, October.

  8. Isaac Desta & Abel Tedla & Dawit Zerom, 2015. "Entrepreneurial Networks And Growth In Female-Owned Businesses: Evidence From Small And Medium Scale Enterprises In Eritrea," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-16, December.

    Cited by:

    1. Ojong, Nathanael & Simba, Amon & Dana, Leo-Paul, 2021. "Female entrepreneurship in Africa: A review, trends, and future research directions," Journal of Business Research, Elsevier, vol. 132(C), pages 233-248.

  9. Sebastiano Manzan & Dawit Zerom, 2015. "Asymmetric Quantile Persistence and Predictability: the Case of US Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(2), pages 297-318, April.

    Cited by:

    1. Eric Ghysels & Leonardo Iania & Jonas Striaukas, 2018. "Quantile-based Inflation Risk Models," Working Paper Research 349, National Bank of Belgium.
    2. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    3. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    4. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    5. Nicholas Apergis, 2022. "Evaluating tail risks for the U.S. economic policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3971-3989, October.
    6. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2017. "The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 109-121, March.
    7. Nicholas Apergis, 2023. "Forecasting energy prices: Quantile‐based risk models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 17-33, January.
    8. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    9. Inês da Cunha Cabral & João Nicolau, 2022. "Inflation in the G7 and the expected time to reach the reference rate: A nonparametric approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1608-1620, April.
    10. Phiri, Andrew, 2017. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) model," MPRA Paper 79956, University Library of Munich, Germany.
    11. Andrew Phiri, 2017. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach," Working Papers 1702, Department of Economics, Nelson Mandela University, revised Jul 2017.
    12. Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "The Changing Dynamics of South Africa's Inflation Persistence: Evidence from a Quantile Regression Framework," Working Papers 201563, University of Pretoria, Department of Economics.
    13. Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2023. "Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model," CEPR Discussion Papers 18549, C.E.P.R. Discussion Papers.
    14. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
    15. Christian Bauer & Sebastian Weber, 2016. "The Efficiency of Monetary Policy when Guiding Inflation Expectations," Research Papers in Economics 2016-14, University of Trier, Department of Economics.
    16. Jiawen Luo & Shengjie Fu & Oguzhan Cepni & Rangan Gupta, 2024. "Climate Risks and Forecastability of US Inflation: Evidence from Dynamic Quantile Model Averaging," Working Papers 202420, University of Pretoria, Department of Economics.
    17. Rangan Gupta & Charl Jooste & Omid Ranjbar, 2017. "South Africa’s inflation persistence: a quantile regression framework," Economic Change and Restructuring, Springer, vol. 50(4), pages 367-386, November.
    18. Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & Francisco Marcos Rodrigues Figueiredo, 2015. "Local Unit Root and Inflationary Inertia in Brazil," Working Papers Series 406, Central Bank of Brazil, Research Department.
    19. Kurmaş Akdoğan, 2015. "Asymmetric Behaviour of Inflation around the Target in Inflation-Targeting Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(5), pages 486-504, November.
    20. Wen-Yi Chen & Tsangyao Chang & Yu-Hui Lin, 2018. "Investigating the Persistence of Suicide in the United States: Evidence from the Quantile Unit Root Test," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 813-833, January.

  10. Manzan, Sebastiano & Zerom, Dawit, 2013. "Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?," International Journal of Forecasting, Elsevier, vol. 29(3), pages 469-478.
    See citations under working paper version above.
  11. Yebin Cheng & Jan G. De Gooijer & Dawit Zerom, 2011. "Efficient Estimation of an Additive Quantile Regression Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 38(1), pages 46-62, March.
    See citations under working paper version above.
  12. Susan Budge & Armann Ingolfsson & Dawit Zerom, 2010. "Empirical Analysis of Ambulance Travel Times: The Case of Calgary Emergency Medical Services," Management Science, INFORMS, vol. 56(4), pages 716-723, April.

    Cited by:

    1. McLay, Laura A. & Boone, Edward L. & Brooks, J. Paul, 2012. "Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 55-66.
    2. Amir Ardestani-Jaafari & Beste Kucukyazici, 2022. "Improving Patient Transfer Protocols for Regional Stroke Networks," Management Science, INFORMS, vol. 68(9), pages 6610-6633, September.
    3. Schmid, Verena & Doerner, Karl F., 2010. "Ambulance location and relocation problems with time-dependent travel times," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1293-1303, December.
    4. Ľuboš Buzna & Peter Czimmermann, 2021. "On the Modelling of Emergency Ambulance Trips: The Case of the Žilina Region in Slovakia," Mathematics, MDPI, vol. 9(17), pages 1-30, September.
    5. Westgate, Bradford S. & Woodard, Dawn B. & Matteson, David S. & Henderson, Shane G., 2016. "Large-network travel time distribution estimation for ambulances," European Journal of Operational Research, Elsevier, vol. 252(1), pages 322-333.
    6. Seokcheon Lee, 2017. "A new preparedness policy for EMS logistics," Health Care Management Science, Springer, vol. 20(1), pages 105-114, March.
    7. Akbar Karimi & Michel Gendreau & Vedat Verter, 2018. "Performance Approximation of Emergency Service Systems with Priorities and Partial Backups," Transportation Science, INFORMS, vol. 52(5), pages 1235-1252, October.
    8. Peter J. Kolesar, 2012. "OM Forum --Some Lessons on Operations Management Model Implementation Drawn from the RAND Fire Project," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 1-6, January.
    9. DuBois, Eric & Schmidt, Adam & Albert, Laura A., 2021. "Location of trauma care resources with inter-facility patient transfers," Operations Research Perspectives, Elsevier, vol. 8(C).
    10. Maddah, Bacel & Nasr, Walid W. & Charanek, Ali, 2017. "A multi-station system for reducing congestion in high-variability queues," European Journal of Operational Research, Elsevier, vol. 262(2), pages 602-619.
    11. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2013. "A multi-objective combinatorial model of casualty processing in major incident response," European Journal of Operational Research, Elsevier, vol. 230(3), pages 643-655.
    12. Adcock, C J & Meade, N, 2017. "Using parametric classification trees for model selection with applications to financial risk management," European Journal of Operational Research, Elsevier, vol. 259(2), pages 746-765.
    13. Repoussis, Panagiotis P. & Paraskevopoulos, Dimitris C. & Vazacopoulos, Alkiviadis & Hupert, Nathaniel, 2016. "Optimizing emergency preparedness and resource utilization in mass-casualty incidents," European Journal of Operational Research, Elsevier, vol. 255(2), pages 531-544.
    14. EunSu Lee & Melanie McDonald & Erin O’Neill & William Montgomery, 2021. "Statewide Ambulance Coverage of a Mixed Region of Urban, Rural and Frontier under Travel Time Catchment Areas," IJERPH, MDPI, vol. 18(5), pages 1-21, March.
    15. Chen, Chialin & Achtari, Guyves & Majkut, Kevin & Sheu, Jiuh-Biing, 2017. "Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 148-165.
    16. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    17. Lv, Wei & Li, Hongyi & Tang, Jiafu, 2017. "Bargaining model of labor disputes considering social mediation and bounded rationalityAuthor-Name: Liu, Dehai," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1064-1071.
    18. Zvi Drezner & Vladimir Marianov & George O. Wesolowsky, 2016. "Maximizing the minimum cover probability by emergency facilities," Annals of Operations Research, Springer, vol. 246(1), pages 349-362, November.
    19. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2016. "Online optimization of casualty processing in major incident response: An experimental analysis," European Journal of Operational Research, Elsevier, vol. 252(1), pages 334-348.
    20. Li, Mengyu & Carter, Alix & Goldstein, Judah & Hawco, Terence & Jensen, Jan & Vanberkel, Peter, 2021. "Determining ambulance destinations when facing offload delays using a Markov decision process," Omega, Elsevier, vol. 101(C).

  13. Emi Nakamura & Dawit Zerom, 2010. "Accounting for Incomplete Pass-Through," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1192-1230.
    See citations under working paper version above.
  14. Sebastiano Manzan & Dawit Zerom, 2010. "A Semiparametric Analysis of Gasoline Demand in the United States Reexamining The Impact of Price," Econometric Reviews, Taylor & Francis Journals, vol. 29(4), pages 439-468.

    Cited by:

    1. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2011. "Demand for gasoline is more price-inelastic than commonly thought," CUDARE Working Papers 120416, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    3. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
    4. Tiezzi, Silvia & Verde, Stefano F., 2016. "Differential demand response to gasoline taxes and gasoline prices in the U.S," Resource and Energy Economics, Elsevier, vol. 44(C), pages 71-91.
    5. Alhassan A. Karakara & Evans S. Osabuohien, 2020. "Clean versus Dirty Energy: Empirical Evidence from Fuel Adoption and Usage by Households in Ghana," Research Africa Network Working Papers 20/075, Research Africa Network (RAN).
    6. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    7. Alhassan A. Karakara & Evans S. Osabuohien & Simplice A. Asongu, 2021. "Domestic Energy Consumption in Ghana: Deprivation versus Likelihood of Access," Research Africa Network Working Papers 21/023, Research Africa Network (RAN).
    8. John Eakins, 2014. "An Application of the Double Hurdle Model to Petrol and Diesel Household Expenditures in Ireland," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 145, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    9. Marzoughi, Hassan & Kennedy, P. Lynn, "undated". "The Impact of Ethanol Production on the U.S. Gasoline Market," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119752, Southern Agricultural Economics Association.
    10. Haotian Chen & Xibin Zhang, 2014. "Bayesian Estimation for Partially Linear Models with an Application to Household Gasoline Consumption," Monash Econometrics and Business Statistics Working Papers 28/14, Monash University, Department of Econometrics and Business Statistics.
    11. Jeyhun Mikayilov & Fred Joutz & Fakhri Hasanov, 2019. "Gasoline Demand in Saudi Arabia: Are the Price and Income Elasticities Constant?," Discussion Papers ks--2019-dp81, King Abdullah Petroleum Studies and Research Center.

  15. Manzan, Sebastiano & Zerom, Dawit, 2008. "A bootstrap-based non-parametric forecast density," International Journal of Forecasting, Elsevier, vol. 24(3), pages 535-550.

    Cited by:

    1. Juan Carlos Pérez-Velasco Pavón, 2009. "Determinantes de la demanda por la denominación promedio de billete: el caso de México," Monetaria, CEMLA, vol. 0(4), pages 523-548, octubre-d.
    2. João Henrique G. Mazzeu & Gloria González-Rivera & Esther Ruiz & Helena Veiga, 2020. "A bootstrap approach for generalized Autocontour testing Implications for VIX forecast densities," Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 971-990, November.
    3. Juan Díaz Maureira & Gustavo Leyva Jiménez, 2009. "Proyección de la inflación chilena en tiempos difíciles," Monetaria, CEMLA, vol. 0(4), pages 491-522, octubre-d.
    4. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    5. George Athanasopoulos & Puwasala Gamakumara & Anastasios Panagiotelis & Rob J Hyndman & Mohamed Affan, 2019. "Hierarchical Forecasting," Monash Econometrics and Business Statistics Working Papers 2/19, Monash University, Department of Econometrics and Business Statistics.
    6. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Ricardo Gimeno & José Manuel Marqués-Sevillano, 2009. "Incertidumbre y el precio del riesgo en un proceso de convergencia nominal," Monetaria, CEMLA, vol. 0(4), pages 451-489, octubre-d.
    8. Andrés Schneider, 2009. "Regímenes de flotación administrada: un enfoque de cartera," Monetaria, CEMLA, vol. 0(4), pages 549-584, octubre-d.
    9. Dimitris N. Politis & Kejin Wu, 2023. "Multi-Step-Ahead Prediction Intervals for Nonparametric Autoregressions via Bootstrap: Consistency, Debiasing, and Pertinence," Stats, MDPI, vol. 6(3), pages 1-29, August.

  16. Manzan, Sebastiano & Zerom, Dawit, 2005. "Kernel estimation of a partially linear additive model," Statistics & Probability Letters, Elsevier, vol. 72(4), pages 313-322, May.

    Cited by:

    1. Jianbao Chen & Suli Cheng, 2021. "GMM Estimation of a Partially Linear Additive Spatial Error Model," Mathematics, MDPI, vol. 9(6), pages 1-28, March.
    2. Cheng, Yebin & De Gooijer, Jan & Zerom, Dawit, 2009. "Efficient Estimation of an Additive Quantile Regression Model," MPRA Paper 14388, University Library of Munich, Germany.
    3. Boente, Graciela & Martínez, Alejandra Mercedes, 2023. "A robust spline approach in partially linear additive models," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    4. Manzan, sebastiano & Zerom, Dawit, 2008. "A Semiparametric Analysis of Gasoline Demand in the US: Reexamining The Impact of Price," MPRA Paper 14386, University Library of Munich, Germany.
    5. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    6. Chuanhua Wei & Qihua Wang, 2012. "Statistical inference on restricted partially linear additive errors-in-variables models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 757-774, December.
    7. Holland, Ashley D., 2017. "Penalized spline estimation in the partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 211-235.
    8. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    9. Chuan-hua Wei & Chunling Liu, 2012. "Statistical inference on semi-parametric partial linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(4), pages 809-823, December.
    10. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    11. Rui Li & Yuanyuan Zhang, 2021. "Two-stage estimation and simultaneous confidence band in partially nonlinear additive model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(8), pages 1109-1140, November.
    12. Chuanhua Wei & Yubo Luo & Xizhi Wu, 2012. "Empirical likelihood for partially linear additive errors-in-variables models," Statistical Papers, Springer, vol. 53(2), pages 485-496, May.
    13. Andi Tenri Ampa & I Nyoman Budiantara & Ismaini Zain, 2022. "Modeling the Level of Drinking Water Clarity in Surabaya City Drinking Water Regional Company Using Combined Estimation of Multivariable Fourier Series and Kernel," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    14. Cheng, Suli & Chen, Jianbao, 2023. "GMM estimation of partially linear additive spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
    15. Chuanhua Wei & Xiaonan Wang, 2016. "Liu-type estimator in semiparametric partially linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(3), pages 459-468, September.
    16. Chuanhua Wei & Jin Yang, 2020. "Stochastic restricted estimation in partially linear additive errors-in-variables models," Statistical Papers, Springer, vol. 61(3), pages 1269-1279, June.

  17. Jan G. De Gooijer & Dawit Zerom, 2003. "On Conditional Density Estimation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(2), pages 159-176, May.
    See citations under working paper version above.
  18. De Gooijer J.G. & Zerom D., 2003. "On Additive Conditional Quantiles With High Dimensional Covariates," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 135-146, January.

    Cited by:

    1. Joel L. Horowitz & Sokbae (Simon) Lee, 2004. "Nonparametric estimation of an additive quantile regression model," CeMMAP working papers 07/04, Institute for Fiscal Studies.
    2. Cheng, Yebin & De Gooijer, Jan & Zerom, Dawit, 2009. "Efficient Estimation of an Additive Quantile Regression Model," MPRA Paper 14388, University Library of Munich, Germany.
    3. Cai, Zongwu & Xu, Xiaoping, 2008. "Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1595-1608.
    4. Tadao Hoshino, 2014. "Quantile regression estimation of partially linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 509-536, September.
    5. Sherwood, Ben, 2016. "Variable selection for additive partial linear quantile regression with missing covariates," Journal of Multivariate Analysis, Elsevier, vol. 152(C), pages 206-223.
    6. Joel L. Horowitz, 2012. "Nonparametric additive models," CeMMAP working papers CWP20/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Yebin Cheng & Jan G. De Gooijer & Dawit Zerom, 2009. "Efficient Estimation of an Additive Quantile Regression," Tinbergen Institute Discussion Papers 09-104/4, Tinbergen Institute.
    8. Yue, Yu Ryan & Rue, Håvard, 2011. "Bayesian inference for additive mixed quantile regression models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 84-96, January.
    9. Wu, Tracy Z. & Yu, Keming & Yu, Yan, 2010. "Single-index quantile regression," Journal of Multivariate Analysis, Elsevier, vol. 101(7), pages 1607-1621, August.
    10. Oberhofer, Walter & Haupt, Harry, 2005. "Consistency of nonlinear regression quantiles under Type I censoring weak dependence and general covariate design," University of Regensburg Working Papers in Business, Economics and Management Information Systems 406, University of Regensburg, Department of Economics.
    11. Xie, Shangyu & Wan, Alan T.K. & Zhou, Yong, 2015. "Quantile regression methods with varying-coefficient models for censored data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 154-172.
    12. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    13. Zhao, Weihua & Lian, Heng, 2017. "Quantile index coefficient model with variable selection," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 40-58.
    14. De Gooijer, Jan G. & Zerom, Dawit, 2019. "Semiparametric quantile averaging in the presence of high-dimensional predictors," International Journal of Forecasting, Elsevier, vol. 35(3), pages 891-909.
    15. Thomas Q. Pedersen, 2015. "Predictable Return Distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 114-132, March.
    16. Efang Kong & Oliver Linton & Yingcun Xia, 2011. "Global Bahadur representation for nonparametric censored regression quantiles and its applications," CeMMAP working papers CWP33/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Wei, Bo & Tan, Kean Ming & He, Xuming, 2024. "Estimation of complier expected shortfall treatment effects with a binary instrumental variable," Journal of Econometrics, Elsevier, vol. 238(2).
    18. Holger Dette & Regine Scheder, 2011. "Estimation of additive quantile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(2), pages 245-265, April.
    19. Lian, Heng & Meng, Jie & Fan, Zengyan, 2015. "Simultaneous estimation of linear conditional quantiles with penalized splines," Journal of Multivariate Analysis, Elsevier, vol. 141(C), pages 1-21.
    20. Zongwu Cai & Zhijie Xiao, 2010. "Semiparametric Quantile Regression Estimation in Dynamic Models with Partially Varying Coefficients," Boston College Working Papers in Economics 761, Boston College Department of Economics.
    21. Oberhofer, Walter & Haupt, Harry, 2003. "Nonlinear quantile regression under dependence and heterogeneity," University of Regensburg Working Papers in Business, Economics and Management Information Systems 388, University of Regensburg, Department of Economics.
    22. Taisuke Otsu, 2011. "Empirical Likelihood for Nonparametric Additive Models," Cowles Foundation Discussion Papers 1792, Cowles Foundation for Research in Economics, Yale University.
    23. Holger Dette & Matthias Guhlich & Natalie Neumeyer, 2015. "Testing for additivity in nonparametric quantile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(3), pages 437-477, June.
    24. Wu, Chaojiang & Yu, Yan, 2014. "Partially linear modeling of conditional quantiles using penalized splines," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 170-187.
    25. Cai, Zongwu & Chen, Linna & Fang, Ying, 2018. "A semiparametric quantile panel data model with an application to estimating the growth effect of FDI," Journal of Econometrics, Elsevier, vol. 206(2), pages 531-553.
    26. Oberhofer, Walter & Haupt, Harry, 2005. "The asymptotic distribution of the unconditional quantile estimator under dependence," Statistics & Probability Letters, Elsevier, vol. 73(3), pages 243-250, July.
    27. Simila, Timo, 2006. "Self-organizing map visualizing conditional quantile functions with multidimensional covariates," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2097-2110, April.
    28. Holger Dette, 2013. "Comments on: An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 437-441, September.
    29. Ioannides, D. A., 2004. "Fixed design regression quantiles for time series," Statistics & Probability Letters, Elsevier, vol. 68(3), pages 235-245, July.
    30. Lian, Heng, 2012. "A note on the consistency of Schwarz’s criterion in linear quantile regression with the SCAD penalty," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1224-1228.
    31. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    32. Christophe Crambes & Ali Gannoun & Yousri Henchiri, 2014. "Modelling functional additive quantile regression using support vector machines approach," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(4), pages 639-668, December.

  19. De Gooijer, Jan G. & Gannoun, Ali & Zerom, Dawit, 2002. "Mean squared error properties of the kernel-based multi-stage median predictor for time series," Statistics & Probability Letters, Elsevier, vol. 56(1), pages 51-56, January.

    Cited by:

    1. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    2. Christophe Crambes & Ali Gannoun & Yousri Henchiri, 2014. "Modelling functional additive quantile regression using support vector machines approach," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(4), pages 639-668, December.

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