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Citations in EconPapers for

SeHyoun Ahn; Greg Kaplan; Benjamin Moll; Thomas Winberry and Christian Wolf, (2017), When Inequality Matters for Macro and Macro Matters for Inequality in , NBER Chapters, National Bureau of Economic Research, Inc

60 citing papers found in EconPapers

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Achdou, Yves; Jiequn Han; Jean Michel Lasry; Pierre Louis Lions and Ben Moll, (2022), Income and wealth distribution in macroeconomics: a continuous-time approach, LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library

Achdou, Yves; Jiequn Han; Jean-Michel Lasry; Pierre-Louis Lions and Benjamin Moll, (2017), Income and Wealth Distribution in Macroeconomics: A Continuous-Time Approach, No 23732, NBER Working Papers, National Bureau of Economic Research, Inc

Achdou, Yves; Jiequn Han; Jean-Michel Lasry; Pierre-Louis Lionse and Benjamin Moll, (2022), Income and Wealth Distribution in Macroeconomics: A Continuous-Time Approach, The Review of Economic Studies, 89, (1), 45-86

Adam, Klaus and Henning Weber, (2017), Optimal trend inflation, No 25/2017, Discussion Papers, Deutsche Bundesbank

Adam, Klaus and Henning Weber, (2017), Optimal trend inflation, No 579, CFS Working Paper Series, Center for Financial Studies (CFS)

Adam, Klaus and Henning Weber, (2017), Optimal Trend Inflation, No 12160, CEPR Discussion Papers, C.E.P.R. Discussion Papers

Adam, Klaus and Henning Weber, (2018), Optimal Trend Inflation, No 7028, CESifo Working Paper Series, CESifo

Adam, Klaus and Henning Weber, (2018), Optimal Trend Inflation, No 18-E-07, IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan

Adam, Klaus and Henning Weber, (2018), Optimal Trend Inflation, No 782, 2018 Meeting Papers, Society for Economic Dynamics

Aladangady, Aditya; Etienne Gagnon; Benjamin K. Johannsen and William Peterman, (2021), Macroeconomic Implications of Inequality and Income Risk, No 2021-073, Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.)

Alves, Felipe; Christian Bustamante; Xing Guo; Katya Kartashova; Soyoung Lee; Thomas Michael Pugh; Kurt See; Yaz Terajima and Alexander Ueberfeldt, (2022), Heterogeneity and Monetary Policy: A Thematic Review, No 2022-2, Discussion Papers, Bank of Canada

Bayer, Christian and Ralph Luetticke, (2018), Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods, No 13071, CEPR Discussion Papers, C.E.P.R. Discussion Papers

Bayer, Christian and Ralph Luetticke, (2020), Solving discrete time heterogeneous agent models with aggregate risk and many idiosyncratic states by perturbation, Quantitative Economics, 11, (4), 1253-1288

Bhandari, Anmol; David Evans; Mikhail Golosov and Thomas Sargent, (2018), Inequality, Business Cycles, and Monetary-Fiscal Policy, Working Papers, New York University, Leonard N. Stern School of Business, Department of Economics

Birkner, Matthias; Niklas Scheuer and Klaus Wälde, (2021), The Dynamics of Pareto Distributed Wealth in a Small Open Economy, No 9058, CESifo Working Paper Series, CESifo

Boppart, Timo; Per Krusell and Kurt Mitman, (2017), Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative, No 24138, NBER Working Papers, National Bureau of Economic Research, Inc

Boppart, Timo; Per Krusell and Kurt Mitman, (2018), Exploiting MIT shocks in heterogeneous-agent economies: the impulse response as a numerical derivative, Journal of Economic Dynamics and Control, 89, (C), 68-92

Chang, Minsu; Xiaohong Chen and Frank Schorfheide, (2021), Heterogeneity and Aggregate Fluctuations, No 2289, Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University

Chikhale, Nisha, (2023), The effects of uncertainty shocks: Implications of wealth inequality, European Economic Review, 154, (C)

Clemens, Marius; Ulrich Eydam and Maik Heinemann, (2020), Inequality over the Business Cycle – The Role of Distributive Shocks, No 1852, Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research

Darracq Paries, Matthieu; Alessandro Notarpietro; Juha Kilponen; Niki Papadopoulou; Srečko Zimic; Pierre Aldama; Geert Langenus; Luis Alvarez; Matthieu Lemoine; Elena Angelini; Matija Lozej; Robert-Paul Berben; Fulvia Marotta; Alice Carroy; Julien Matheron; Kai Christoffel; Carlos Montes-Galdón; Matteo Ciccarelli; Joan Paredes; Agostino Consolo; Massimiliano Pisani; Pietro Cova; Michaela Elfsbacka Schmöller; Milan Damjanović; Andra Smadu; Grégory de Walque; Béla Szörfi; Stéphane Dupraz; Harri Turunen; José Emilio Gumiel; Fabio Verona; Thomas Haertel; Igor Vetlov; Samuel Hurtado; Anders Warne; Paulo Júlio; Anastasia Zhutova and Michael Kühl, (2021), Review of macroeconomic modelling in the Eurosystem: current practices and scope for improvement, No 267, Occasional Paper Series, European Central Bank

Drechsel-Grau, Moritz and Fabian Greimel, (2018), Falling Behind: Has Rising Inequality Fueled the American Debt Boom?, VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association

Drechsel-Grau, Moritz and Fabian Greimel, (2018), Falling Behind: Has Rising Inequality Fueled the American Debt Boom?, No 1032, 2018 Meeting Papers, Society for Economic Dynamics

Ferlaino, Francesco, (2024), Does the financial accelerator accelerate inequalities?, No 538, Working Papers, University of Milano-Bicocca, Department of Economics

Fernandez-Villaverde, Jesus; Samuel Hurtado and Galo Nuño Barrau, (2019), Financial Frictions and the Wealth Distribution, PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania

Fernandez-Villaverde, Jesus; Samuel Hurtado and Galo Nuño Barrau, (2020), Financial frictions and the wealth distribution, No 2013, Working Papers, Banco de España

Fernandez-Villaverde, Jesus; Samuel Hurtado and Galo Nuño Barrau, (2020), Financial Frictions and the Wealth Distribution, No 8482, CESifo Working Paper Series, CESifo

Gao, Yijin, (2020), Knowledge Diffusion and economic Growth based on Fourier’s law, Research in Economics, 74, (2), 174-185

Gechert, Sebastian, (2022), Reconsidering macroeconomic policy prescriptions with meta-analysis, Industrial and Corporate Change, 31, (2), 576-590

Gornemann, Nils; Keith Kuester and Makoto Nakajima, (2021), Doves for the Rich, Hawks for the Poor? Distributional Consequences of Systematic Monetary Policy, No 50, Opportunity and Inclusive Growth Institute Working Papers, Federal Reserve Bank of Minneapolis

Gornemann, Nils; Keith Kuester and Makoto Nakajima, (2021), Doves for the Rich, Hawks for the Poor? Distributional Consequences of Systematic Monetary Policy, No 89, ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany

Grand, François Le and Xavier Ragot, (2022), MANAGING INEQUALITY OVER BUSINESS CYCLES: OPTIMAL POLICIES WITH HETEROGENEOUS AGENTS AND AGGREGATE SHOCKS, International Economic Review, 63, (1), 511-540

Hasumi, Ryo and Hirokuni Iiboshi, (2019), A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan, MPRA Paper, University Library of Munich, Germany

Heinrichs, Katrin, (2019), Income distribution and shock transmission: A simple heterogeneous agent New Keynesian perspective, VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy, Verein für Socialpolitik / German Economic Association

Jesús, Fernández-Villaverde,; Samuel Hurtado and Nuño, Galo, (2019), Financial Frictions and the Wealth Distribution, No 14002, CEPR Discussion Papers, C.E.P.R. Discussion Papers

Khieu, Hoang and Klaus Wälde, (2018), Capital Income Risk and the Dynamics of the Wealth Distribution, No 11840, IZA Discussion Papers, Institute of Labor Economics (IZA)

Khieu, Hoang and Klaus Wälde, (2019), Capital Income Risk and the Dynamics of the Wealth Distribution, No 7970, CESifo Working Paper Series, CESifo

Kitao, Sagiri and Tomoaki Yamada, (2019), Dimensions of Inequality in Japan: Distributions of Earnings, Income and Wealth between 1984 and 2014, Discussion papers, Research Institute of Economy, Trade and Industry (RIETI)

Kohlscheen, Emanuel; Marco Lombardi and Egon Zakrajšek, (2021), Income Inequality and the depth of economic downturns, Economics Letters, 205, (C)

Le Grand, François and Xavier Ragot, (2020), Managing Inequality over Business Cycles: Optimal Policies with Heterogeneous Agents and Aggregate Shocks, Working Papers, HAL

Le Grand, François and Xavier Ragot, (2020), Managing Inequality over Business Cycles: Optimal Policies with Heterogeneous Agents and Aggregate Shocks, SciencePo Working papers, HAL

Liu, Laura and Mikkel Plagborg‐Møller, (2023), Full‐information estimation of heterogeneous agent models using macro and micro data, Quantitative Economics, 14, (1), 1-35

Luetticke, Ralph, (2021), Transmission of Monetary Policy with Heterogeneity in Household Portfolios, American Economic Journal: Macroeconomics, 13, (2), 1-25

Mabille, Pierre, (2019), Aggregate Precautionary Savings Motives, No 344, 2019 Meeting Papers, Society for Economic Dynamics

Madeira, Carlos and Leonardo Salazar, (2023), The impact of monetary policy on a labor market with heterogeneous workers: The case of Chile, Latin American Journal of Central Banking (previously Monetaria), 4, (2)

Mitman, Kurt and Timo Boppart, (2017), Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative, No 12520, CEPR Discussion Papers, C.E.P.R. Discussion Papers

Moll, Benjamin, (2020), The Research Agenda: Ben Moll on the Rich Interactions between Inequality and the Macroeconomy, EconomicDynamics Newsletter, 21, (2)

Namkhaijantsan, Ninjin, (2018), Consumption and Savings Behaviour under Household Heterogeneity and Mortgage Debt, MPRA Paper, University Library of Munich, Germany

Okahata, Nobuhide, (2019), An Alternative Solution Method for Continuous-Time Heterogeneous Agent Models with Aggregate Shocks, No 1470, 2019 Meeting Papers, Society for Economic Dynamics

Parra-Alvarez, Juan; Olaf Posch and Mu-Chun Wang, (2020), Estimation of heterogeneous agent models: A likelihood approach, No 42/2020, Discussion Papers, Deutsche Bundesbank

Parra‐Alvarez, Juan Carlos; Olaf Posch and Mu‐Chun Wang, (2023), Estimation of Heterogeneous Agent Models: A Likelihood Approach, Oxford Bulletin of Economics and Statistics, 85, (2), 304-330

Pekanov, Atanas, (2018), The New View on Fiscal Policy and its Implications for the European Monetary Union, No 562, WIFO Working Papers, WIFO

Ragot, Xavier, (2019), Managing Inequality over the Business Cycles: Optimal Policies with Heterogeneous Agents and Aggregate Shocks, No 1090, 2019 Meeting Papers, Society for Economic Dynamics

Reiter, Michael, (2018), Comments on “Exploiting MIT shocks in heterogeneous-agent economies: The impulse response as a numerical derivative” by T. Boppart, P. Krusell and K. Mitman, Journal of Economic Dynamics and Control, 89, (C), 93-99

Rendahl, Pontus, (2022), Continuous vs. discrete time: Some computational insights, Journal of Economic Dynamics and Control, 144, (C)

Ribeiro, Gustavo; Vladmir Teles and João Costa-Filho, (2023), The Spending Cap and Monetary Policy Effectiveness, MPRA Paper, University Library of Munich, Germany

Tryphonides, Andreas, (2019), QUALITATIVE SURVEYS AND MARGINS OF ADJUSTMENT IN HETEROGENEOUS AGENT ECONOMIES, No 1415, 2019 Meeting Papers, Society for Economic Dynamics

Tryphonides, Andreas, (2020), Heterogeneity and the Dynamic Effects of Aggregate Shocks, Papers, arXiv.org

Tsuboi, Mizuki, (2018), Stochastic accumulation of human capital and welfare in the Uzawa–Lucas model: an analytical characterization, Journal of Economics, 125, (3), 239-261

Weil, Pierre, (2018), Redistribution from the Cradle to the Grave: A Unified Approach to Heterogeneity in Age, Income and Wealth, 2018 Papers, Job Market Papers

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The citation and reference data is supplied by Citations in Economics. The data is obtained through machine analysis of the full text files for papers available in EconPapers. Currently only freely available full text files are analysed and results are only included for files which could be parsed without errors.

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