Academic Appointments


2023-24 Courses


All Publications


  • The timing and location of entry in growing markets: subgame perfection at work RAND JOURNAL OF ECONOMICS Bollinger, B., Doraszelski, U., Judd, K. L., McDevitt, R. C. 2024
  • A simple but powerful simulated certainty equivalent approximation method for dynamic stochastic problems QUANTITATIVE ECONOMICS Cai, Y., Judd, K. L. 2023; 14 (2): 651-687

    View details for DOI 10.3982/QE1835

    View details for Web of Science ID 000988108800007

  • Statistical approximation of high-dimensional climate models JOURNAL OF ECONOMETRICS Miftakhova, A., Judd, K. L., Lontzek, T. S., Schmedders, K. 2020; 214 (1): 67–80
  • Dynamic stochastic games with random moves QME-QUANTITATIVE MARKETING AND ECONOMICS Doraszelski, U., Judd, K. L. 2019; 17 (1): 59–79
  • Solving an incomplete markets model with a large cross-section of agents JOURNAL OF ECONOMIC DYNAMICS & CONTROL Mertens, T. M., Judd, K. L. 2018; 91: 349–68
  • How to solve dynamic stochastic models computing expectations just once QUANTITATIVE ECONOMICS Judd, K. L., Maliar, L., Maliar, S., Tsener, I. 2017; 8 (3): 851–93

    View details for DOI 10.3982/QE329

    View details for Web of Science ID 000418421700007

  • A NONLINEAR PROGRAMMING METHOD FOR DYNAMIC PROGRAMMING MACROECONOMIC DYNAMICS Cai, Y., Judd, K. L., Lontzek, T. S., Michelangeli, V., Su, C. 2017; 21 (2): 336-361
  • Computing Equilibria of Dynamic Games OPERATIONS RESEARCH Yeltekin, S., Cai, Y., Judd, K. L. 2017; 65 (2): 337-356
  • A nonlinear certainty equivalent approximation method for dynamic stochastic problems QUANTITATIVE ECONOMICS Cai, Y., Judd, K., Steinbuks, J. 2017; 8 (1): 117-147

    View details for DOI 10.3982/QE533

    View details for Web of Science ID 000399323900004

  • A NOTE ON DETERMINING VIABLE ECONOMIC STATES IN A DYNAMIC MODEL OF TAXATION MACROECONOMIC DYNAMICS Krawczyk, J. B., Judd, K. L. 2016; 20 (5): 1395-1412
  • Dynamic programming with Hermite approximation MATHEMATICAL METHODS OF OPERATIONS RESEARCH Cai, Y., Judd, K. L. 2015; 81 (3): 245-267
  • Stochastic integrated assessment of climate tipping points indicates the need for strict climate policy NATURE CLIMATE CHANGE Lontzek, T. S., Cai, Y., Judd, K. L., Lenton, T. M. 2015; 5 (5): 441-444
  • Environmental tipping points significantly affect the cost-benefit assessment of climate policies PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Cai, Y., Judd, K. L., Lenton, T. M., Lontzek, T. S., Narita, D. 2015; 112 (15): 4606-4611

    Abstract

    Most current cost-benefit analyses of climate change policies suggest an optimal global climate policy that is significantly less stringent than the level required to meet the internationally agreed 2 °C target. This is partly because the sum of estimated economic damage of climate change across various sectors, such as energy use and changes in agricultural production, results in only a small economic loss or even a small economic gain in the gross world product under predicted levels of climate change. However, those cost-benefit analyses rarely take account of environmental tipping points leading to abrupt and irreversible impacts on market and nonmarket goods and services, including those provided by the climate and by ecosystems. Here we show that including environmental tipping point impacts in a stochastic dynamic integrated assessment model profoundly alters cost-benefit assessment of global climate policy. The risk of a tipping point, even if it only has nonmarket impacts, could substantially increase the present optimal carbon tax. For example, a risk of only 5% loss in nonmarket goods that occurs with a 5% annual probability at 4 °C increase of the global surface temperature causes an immediate two-thirds increase in optimal carbon tax. If the tipping point also has a 5% impact on market goods, the optimal carbon tax increases by more than a factor of 3. Hence existing cost-benefit assessments of global climate policy may be significantly underestimating the needs for controlling climate change.

    View details for DOI 10.1073/pnas.1503890112

    View details for Web of Science ID 000352856800041

    View details for PubMedID 25825719

    View details for PubMedCentralID PMC4403162

  • Solving Dynamic Programming Problems on a Computational Grid COMPUTATIONAL ECONOMICS Cai, Y., Judd, K. L., Thain, G., Wright, S. J. 2015; 45 (2): 261-284
  • Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain JOURNAL OF ECONOMIC DYNAMICS & CONTROL Judd, K. L., Maliar, L., Maliar, S., Valero, R. 2014; 44: 92-123
  • Shape-preserving dynamic programming MATHEMATICAL METHODS OF OPERATIONS RESEARCH Cai, Y., Judd, K. L. 2013; 77 (3): 407-421
  • Dynamic programming with shape-preserving rational spline Hermite interpolation ECONOMICS LETTERS Cai, Y., Judd, K. L. 2012; 117 (1): 161-164
  • Constrained Optimization Approaches to Estimation of Structural Models ECONOMETRICA Su, C., Judd, K. L. 2012; 80 (5): 2213-2230

    View details for DOI 10.3982/ECTA7925

    View details for Web of Science ID 000309181900011

  • Finding all pure-strategy equilibria in games with continuous strategies QUANTITATIVE ECONOMICS Judd, K. L., Renner, P., Schmedders, K. 2012; 3 (2): 289-331

    View details for DOI 10.3982/QE165

    View details for Web of Science ID 000316853300004

  • Avoiding the curse of dimensionality in dynamic stochastic games QUANTITATIVE ECONOMICS Doraszelski, U., Judd, K. L. 2012; 3 (1): 53-93

    View details for DOI 10.3982/QE153

    View details for Web of Science ID 000316852700003

  • OPTIMAL RULES FOR PATENT RACES INTERNATIONAL ECONOMIC REVIEW Judd, K. L., Schmedders, K., Yeltekin, S. 2012; 53 (1): 23-52
  • Bond Ladders and Optimal Portfolios REVIEW OF FINANCIAL STUDIES Judd, K. L., Kubler, F., Schmedders, K. 2011; 24 (12): 4123-4166

    View details for DOI 10.1093/rfs/hhr074

    View details for Web of Science ID 000297041100007

  • The Importance of Asymmetric Tax Policy and Dangers of Aggregation JOURNAL OF MONEY CREDIT AND BANKING Judd, K. L. 2011; 43: 175-205
  • Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models QUANTITATIVE ECONOMICS Judd, K. L., Maliar, L., Maliar, S. 2011; 2 (2): 173-210

    View details for DOI 10.3982/QE14

    View details for Web of Science ID 000208681700002

  • Solving the multi-country real business cycle model using ergodic set methods JOURNAL OF ECONOMIC DYNAMICS & CONTROL Maliar, S., Maliar, L., Judd, K. 2011; 35 (2): 207-228
  • Computational suite of models with heterogeneous agents II: Multi-country real business cycle models JOURNAL OF ECONOMIC DYNAMICS & CONTROL Den Haan, W. J., Judd, K. L., Juillard, M. 2011; 35 (2): 175-177
  • Equilibrium open interest JOURNAL OF ECONOMIC DYNAMICS & CONTROL Judd, K. L., Leisen, D. P. 2010; 34 (12): 2578-2600
  • Harnessing parallelism in multicore clusters with the All-Pairs, Wavefront, and Makeflow abstractions CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS Yu, L., Moretti, C., Thrasher, A., Emrich, S., Judd, K., Thain, D. 2010; 13 (3): 243-256
  • Computational suite of models with heterogeneous agents: Incomplete markets and aggregate uncertainty JOURNAL OF ECONOMIC DYNAMICS & CONTROL Den Haan, W. J., Judd, K. L., Juillard, M. 2010; 34 (1): 1-3
  • CIM-EARTH: Framework and Case Study B E JOURNAL OF ECONOMIC ANALYSIS & POLICY Elliott, J., Foster, I., Judd, K., Moyer, E., Munson, T. 2010; 10 (2)
  • Asset trading volume with dynamically complete markets and heterogeneous agents JOURNAL OF FINANCE Judd, K. L., Kubler, F., Schmedders, K. 2003; 58 (5): 2203-2217
  • Computing supergame equilibria ECONOMETRICA Judd, K. L., Yeltekin, S., Conklin, J. 2003; 71 (4): 1239-1254
  • The parametric path method: an alternative to Fair-Taylor and L-B-J for solving perfect foresight models JOURNAL OF ECONOMIC DYNAMICS & CONTROL Judd, K. L. 2002; 26 (9-10): 1557-1583
  • Asymptotic methods for asset market equilibrium analysis ECONOMIC THEORY Judd, K. L., Guu, S. M. 2001; 18 (1): 127-157
  • Computing equilibria in infinite-horizon finance economies: The case of one asset JOURNAL OF ECONOMIC DYNAMICS & CONTROL Judd, K. L., Kubler, F., Schmedders, K. 2000; 24 (5-7): 1047-1078
  • Solving a savings allocation problem by numerical dynamic programming with shape-preserving interpolation COMPUTERS & OPERATIONS RESEARCH Wang, S. P., Judd, K. L. 2000; 27 (5): 399-408
  • Optimal taxation and spending in general competitive growth models JOURNAL OF PUBLIC ECONOMICS Judd, K. L. 1999; 71 (1): 1-26
  • PRICE AND QUALITY IN A NEW PRODUCT MONOPOLY REVIEW OF ECONOMIC STUDIES Judd, K. L., RIORDAN, M. H. 1994; 61 (4): 773-789
  • PROJECTION METHODS FOR SOLVING AGGREGATE GROWTH-MODELS JOURNAL OF ECONOMIC THEORY Judd, K. L. 1992; 58 (2): 410-452
  • OBSERVABLE CONTRACTS - STRATEGIC DELEGATION AND COOPERATION INTERNATIONAL ECONOMIC REVIEW FERSHTMAN, C., Judd, K. L., Kalai, E. 1991; 32 (3): 551-559
  • A REVIEW OF RECURSIVE METHODS IN ECONOMIC-DYNAMICS JOURNAL OF ECONOMIC LITERATURE Judd, K. L. 1991; 29 (1): 69-77
  • TAXATION AND UNCERTAINTY AMERICAN ECONOMIC REVIEW BIZER, D. S., Judd, K. L. 1989; 79 (2): 331-336
  • SOCIAL-SECURITY AND INDIVIDUAL WELFARE - PRECAUTIONARY SAVING, BORROWING CONSTRAINTS, AND THE PAYROLL TAX AMERICAN ECONOMIC REVIEW Hubbard, R. G., Judd, K. L. 1987; 77 (4): 630-646
  • EFFECTS OF CAPITAL GAINS TAXATION ON LIFE-CYCLE INVESTMENT AND PORTFOLIO MANAGEMENT JOURNAL OF FINANCE BALCER, Y., Judd, K. L. 1987; 42 (3): 743-758