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Top Recent Research Items by Number of Citations, Discounted by Citation Age

What this page is about

A recent research item is defined as a research item whose last version was published less than five years ago, and whose first version was published less that ten years before the last version. This list provides a discounted impact factor, wherein each citation is divided by its age in years (one for the current year). Thus, in 2007, a citation from an article in 2004 counts for 0.25.

These computations are experimental and based on the citation analysis provided by the CitEc project, which uses data from items listed in RePEc.

Similar rankings

See other rankings by type of impact factors. 10 counts publications from the last 10 years only, 5 the last 5 years:
SimpleRecursiveDiscountedDiscounted
Recursive		h-indexEuclidDownloadsAbstract
views		Aggregate
JournalsAll 10 All 10 All 10 All 10 All 10 All 10 All 10 All 10 All 10
Working paper seriesAll 10 All 10 All 10 All 10 All 10 All 10 All 10 All 10 All 10
All seriesAll 10 All 10 All 10 All 10 All 10 All 10 All 10 All 10 All 10
All itemsAll 5 All 5 All 5 All 5 A P A P
Also, for individual items: citation counts (last 5 years) and simple discounted impact factors (last 5 years).

This page is part of a larger set of rankings for research items, serials, authors and institutions made available on this site. A FAQ is available.

The rankings

RankItemCitations
1
  • Christopher J. Erceg & Dale W. Henderson & Andrew T. Levin, 2019. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Credit and Capital Markets, Credit and Capital Markets, vol. 52(4), pages 537-571.
    		• 146.05
    2
  • Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    		• 132.9
    3
  • Pontus Braunerhjelm & Ding Ding & Per Thulin, 2018. "The knowledge spillover theory of intrapreneurship," Small Business Economics, Springer, vol. 51(1), pages 1-30, June.
    		• 118.4
    4
  • Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    		• 110.29
    5
  • Luc Laeven & Fabian Valencia, 2020. "Systemic Banking Crises Database II," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(2), pages 307-361, June.
    		• 108.64
    6
  • Robert J. Barro & David B. Gordon, 2019. "A Positive Theory of Monetary Policy in a Natural Rate Model," Credit and Capital Markets, Credit and Capital Markets, vol. 52(4), pages 505-525.
    		• 104.22
    7
  • Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    		• 98.34
    8
  • Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    		• 89.75
    9
  • Ethan Ilzetzki & Carmen M Reinhart & Kenneth S Rogoff, 2019. "Exchange Arrangements Entering the Twenty-First Century: Which Anchor will Hold?," The Quarterly Journal of Economics, Oxford University Press, vol. 134(2), pages 599-646.
    		• 87.73
    10
  • Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Economic Integration and Endogenous Growth," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 1, pages 3-32, World Scientific Publishing Co. Pte. Ltd..
    		• 87.25
    11
  • Cerutti, Eugenio & Claessens, Stijn & Laeven, Luc, 2017. "The use and effectiveness of macroprudential policies: New evidence," Journal of Financial Stability, Elsevier, vol. 28(C), pages 203-224.
    		• 86.1
    12
  • Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74, Edward Elgar Publishing.
    		• 85.78
    13
  • Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    		• 81.01
    14
  • Elie Bouri & Peter Molnár & Georges Azzi & David Roubaud & Lars Ivar Hagfors, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Post-Print hal-02000697, HAL.
    		• 80.58
    15
  • Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    		• 79.19
    16
  • Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    		• 77.08
    17
  • James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    		• 76.33
    18
  • Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
    		• 76.16
    19
  • Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    		• 75.83
    20
  • World Bank, 2017. "World Development Indicators 2017," World Bank Publications, The World Bank, number 26447, November.
    		• 75.3
    21
  • Holston, Kathryn & Laubach, Thomas & Williams, John C., 2017. "Measuring the natural rate of interest: International trends and determinants," Journal of International Economics, Elsevier, vol. 108(S1), pages 59-75.
    		• 74.49
    22
  • Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2018. "Monetary Policy According to HANK," American Economic Review, American Economic Association, vol. 108(3), pages 697-743, March.
    		• 74.08
    23
  • Armin Falk & Thomas Dohmen & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," CRC TR 224 Discussion Paper Series crctr224_2018_006, University of Bonn and University of Mannheim, Germany.
    		• 70.9
    24
  • Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    		• 69.33
    25
  • Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2018. "Distributional National Accounts: Methods and Estimates for the United States," PSE-Ecole d'économie de Paris (Postprint) halshs-01802612, HAL.
    		• 68.9
    26
  • Allen N. Berger & Leora F. Klapper & Rima Turk-Ariss, 2017. "Bank competition and financial stability," Chapters, in: Jacob A. Bikker & Laura Spierdijk (ed.), Handbook of Competition in Banking and Finance, chapter 10, pages 185-204, Edward Elgar Publishing.
    		• 67.79
    27
  • Susanto Basu & Brent Bundick, 2017. "Uncertainty Shocks in a Model of Effective Demand," Econometrica, Econometric Society, vol. 85, pages 937-958, May.
    		• 67.5
    28
  • Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    		• 65.58
    29
  • Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, January.
    		• 65.46
    30
  • John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    		• 63.94
    31
  • François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Post-Print halshs-02489834, HAL.
    		• 63.67
    32
  • Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    		• 63.07
    33
  • Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290, World Scientific Publishing Co. Pte. Ltd..
    		• 61.52
    34
  • Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    		• 60.26
    35
  • Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 132(2), pages 665-712.
    		• 59.86
    36
  • Korhonen, Jouni & Honkasalo, Antero & Seppälä, Jyri, 2018. "Circular Economy: The Concept and its Limitations," Ecological Economics, Elsevier, vol. 143(C), pages 37-46.
    		• 59.61
    37
  • Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2019. "Democracy Does Cause Growth," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 47-100.
    		• 59.41
    38
  • Gita Gopinath & Şebnem Kalemli-Özcan & Loukas Karabarbounis & Carolina Villegas-Sanchez, 2017. "Capital Allocation and Productivity in South Europe," The Quarterly Journal of Economics, Oxford University Press, vol. 132(4), pages 1915-1967.
    		• 58.14
    39
  • Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    		• 57.93
    40
  • Lins, Karl V. & Servaes, Henri & Tamayo, Ane, 2017. "Social capital, trust, and firm performance: the value of corporate social responsibility during the financial crisis," LSE Research Online Documents on Economics 68059, London School of Economics and Political Science, LSE Library.
    		• 57.71
    41
  • David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, Oxford University Press, vol. 132(4), pages 1593-1640.
    		• 57.56
    42
  • Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    		• 57.15
    43
  • Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    		• 56.05
    44
  • Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys," Cambridge Working Papers in Economics 2032, Faculty of Economics, University of Cambridge.
    		• 56
    45
  • Alvarez, Fernando & Argente, David & Lippi, Francesco, 2020. "A Simple Planning Problem for COVID-19 Lockdown," CEPR Discussion Papers 14658, C.E.P.R. Discussion Papers.
    		• 55.5
    46
  • Ethan Ilzetzki & Carmen M Reinhart & Kenneth S Rogoff, 2019. "Exchange Arrangements Entering the Twenty-First Century: Which Anchor will Hold?," The Quarterly Journal of Economics, Oxford University Press, vol. 134(2), pages 599-646.
    		• 54.03
    47
  • Martin S. Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2020. "The Macroeconomics of Epidemics," NBER Working Papers 26882, National Bureau of Economic Research, Inc.
    		• 54
    48
  • Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    		• 53.75
    49
  • Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
    		• 53.6
    50
  • Vayanos, Dimitri & Vila, Jean-Luc, 2021. "A preferred-habitat model of the term structure of interest rates," LSE Research Online Documents on Economics 106509, London School of Economics and Political Science, LSE Library.
    		• 53.26
    51
  • Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
    		• 53
    52
  • Douglas Almond & Janet Currie & Valentina Duque, 2018. "Childhood Circumstances and Adult Outcomes: Act II," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1360-1446, December.
    		• 52.66
    53
  • Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    		• 52.5
    54
  • Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    		• 52.13
    55
  • Elie Bouri & Rangan Gupta & Aviral Kumar Tiwari & David Roubaud, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Post-Print hal-02008552, HAL.
    		• 51.88
    56
  • Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    		• 51.68
    57
  • Warwick McKibbin & Roshen Fernando, 2020. "The global macroeconomic impacts of COVID-19: Seven scenarios," CAMA Working Papers 2020-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    		• 51.5
    58
  • Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    		• 50.3
    59
  • Jan De Loecker & Jan Eeckhout & Gabriel Unger, 2020. "The Rise of Market Power and the Macroeconomic Implications [“Econometric Tools for Analyzing Market Outcomes”]," The Quarterly Journal of Economics, Oxford University Press, vol. 135(2), pages 561-644.
    		• 50.28
    60
  • Dave Donaldson, 2018. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," American Economic Review, American Economic Association, vol. 108(4-5), pages 899-934, April.
    		• 50.06
    61
  • Adrien Auclert, 2019. "Monetary Policy and the Redistribution Channel," American Economic Review, American Economic Association, vol. 109(6), pages 2333-2367, June.
    		• 49.56
    62
  • Henrik Kleven & Camille Landais & Jakob Egholt Søgaard, 2019. "Children and Gender Inequality: Evidence from Denmark," American Economic Journal: Applied Economics, American Economic Association, vol. 11(4), pages 181-209, October.
    		• 49.03
    63
  • Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    		• 48.13
    64
  • Giovanni Dell'Ariccia & Luc Laeven & Gustavo A. Suarez, 2017. "Bank Leverage and Monetary Policy's Risk-Taking Channel: Evidence from the United States," Journal of Finance, American Finance Association, vol. 72(2), pages 613-654, April.
    		• 47.75
    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.