Stephen Durlauf is Kenneth J. Arrow Professor of Economics, Laurents R. Christensen Professor of Economics, and Vilas Professor at the University of Wisconsin, Madison. He is a Fellow in the Econometric Society and in the American Academy of Arts and Sciences. Lars Peter Hansen is David Rockefeller Distinguished Service Professor at the University of Chicago, and is an internationally known leader in economic dynamics. Hansen guides the scholarly direction of the Becker Friedman Institute and chairs the Institute Research Council. He was one of the forces behind the 2008 creation of the Milton Friedman Institute, the predecessor of the Becker Friedman Institute, and served as its founding director. He was one of three in 2013 to be awarded The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel along with Eugene F. Fama and Robert J. Shiller "for their empirical analysis of asset prices."Hansen’s work explores formal implications of dynamic economic models in which decision makers face uncertain environments. The main theme of his research has been to devise and apply econometric methods that are consistent with the probabilistic framework of the economic models under investigation. His work has implications for consumption, savings investment, and asset pricing. Hansen's early research in econometrics was aimed at developing time series statistical methods to investigate one part of an economic model without having to fully specify and estimate all of the model ingredients. The applications he explored with several coauthors included systems that are rich enough to support models of asset valuation and to identify and clarify empirical puzzles, where real-world financial and economic data were at odds with prevailing academic models. He continues to explore, analyze, and interpret implications of dynamic economic models in environments with uncertainty from a time-series perspective. His recent research explores ways to quantify intertemporal risk-return tradeoffs and ways to model economic behavior when decision makers are uncertain about how to forecast future economic events.Hansen won the 2010 BBVA Foundation Frontiers of Knowledge Award in the Economics, Finance and Management “for making fundamental contributions to our understanding of how economic actors cope with risky and changing environments.” He also received the CME Group-MSRI Prize in Innovative Quantitative Applications in 2008 and the Erwin Plein Nemmers Prize in Economics from Northwestern University in 2006. Hansen is a fellow of the National Academy of Sciences and the American Finance Association. He also is a member of the American Academy of Arts and Sciences and past president of the Econometric Society.Hansen is the editor of two Elsevier publications – Handbook of Financial Econometrics, Volume 1, Tools; and Handbook of Financial Econometrics, Volume 2, Applications.James Heckman is Henry Schultz Professor of Economics at the University of Chicago. A Nobel laureate, he is also a winner of the John Bates Clark Medal and a two-time winner of the Dennis J. Aigner Award for Applied Econometrics frrom the "Journal of Econometrics." Rosa Matzkin is Charles E. Davidson Professor of Economics at the University of California, Los Angeles. A Fellow of the Econometric Society, she is Editor of Editor of "Quantitative Economics," the Journal of the Econometric Society.

• Foundational Issues in Econometrics 1. Decision Theory and Econometric Analysis 2. Modelling Economic Agents as Econometricians 3. Econometric Analysis under Model Misspecification and Model Uncertainty 4. The Role of Assumptions in Econometric Analysis 5. Abduction 6. Structural EconometricsInstrumental Variables/Moments-Based Estimators 7. Conditional Moments 8. Weak Instruments 9. Instrumental Variable Selection 10. Generalized Instrumental Variables 11. Moment Inequalities; this chapter can include uniform inferenceNonlinear and Nonparametric Methods 12. Nonlinear Panel Models 13. Quantile Regression and Shape Restrictions 14. Bayesian Nonparametrics 15. Nonseparable Models with Endogeneity; this chapter can include simultaneous equations/nonparametric choice modelsMeasurement, Estimation, Testing 16. Measurement and Economic Theory 17. Measurement Systems and Measurement Error 18. Sampling 19. Cross-sectional Dependence 20. Analysis of High Dimensional Econometric Models; this chapter can include machine learning 21. Indirect Inference 22. Mixture Models 23. Hypothesis Testing (multiple testing, optimal tests, etc.) 24. Nonregular Models 25. Estimation of Partially Identified Models 26. Matching Estimators 27. Control Functions 28. Treatment Effects 29. Natural Experiments. (We may end up collapsing 26 and 27.)Time Series and Dynamic Models 30. Dynamic Factor Analysis 31. Filtering Methods 32. High Frequency Time Series; operator methods in time series will appear here. 33. Analysis of Low Frequency Fluctuations; this include various suggestions on persistent time series that were made by econometricians we surveyed 34. Stochastic Volatility 35. Vector Autoregressions 36. Bayesian Time Series 37. Forecasting; will require careful evaluation of Handbook of Economic Forecasting in order to avoid overlapComputation 38.  Computational Methods in Time Series Analysis 39.  Bayesian Computation 40. Monte Carlo MethodsApplied Econometrics 41. Games 42. Dynamic Discrete Choice 43. Auctions 44. Econometrics of Industrial Organization 45. Social Networks 46. Hedonic Models 47. Household and Family Models 48. Search Models 49. Dynamic Stochastic General Equilibrium Models 50. Econometrics of Revealed Preference 51. Behavioral Genetics

Stephen Durlauf is Kenneth J. Arrow Professor of Economics, Laurents R. Christensen Professor of Economics, and Vilas Professor at the University of Wisconsin, Madison. He is a Fellow in the Econometric Society and in the American Academy of Arts and Sciences. Lars Peter Hansen is David Rockefeller Distinguished Service Professor at the University of Chicago, and is an internationally known leader in economic dynamics. Hansen guides the scholarly direction of the Becker Friedman Institute and chairs the Institute Research Council. He was one of the forces behind the 2008 creation of the Milton Friedman Institute, the predecessor of the Becker Friedman Institute, and served as its founding director. He was one of three in 2013 to be awarded The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel along with Eugene F. Fama and Robert J. Shiller "for their empirical analysis of asset prices."Hansen’s work explores formal implications of dynamic economic models in which decision makers face uncertain environments. The main theme of his research has been to devise and apply econometric methods that are consistent with the probabilistic framework of the economic models under investigation. His work has implications for consumption, savings investment, and asset pricing. Hansen's early research in econometrics was aimed at developing time series statistical methods to investigate one part of an economic model without having to fully specify and estimate all of the model ingredients. The applications he explored with several coauthors included systems that are rich enough to support models of asset valuation and to identify and clarify empirical puzzles, where real-world financial and economic data were at odds with prevailing academic models. He continues to explore, analyze, and interpret implications of dynamic economic models in environments with uncertainty from a time-series perspective. His recent research explores ways to quantify intertemporal risk-return tradeoffs and ways to model economic behavior when decision makers are uncertain about how to forecast future economic events.Hansen won the 2010 BBVA Foundation Frontiers of Knowledge Award in the Economics, Finance and Management “for making fundamental contributions to our understanding of how economic actors cope with risky and changing environments.” He also received the CME Group-MSRI Prize in Innovative Quantitative Applications in 2008 and the Erwin Plein Nemmers Prize in Economics from Northwestern University in 2006. Hansen is a fellow of the National Academy of Sciences and the American Finance Association. He also is a member of the American Academy of Arts and Sciences and past president of the Econometric Society.Hansen is the editor of two Elsevier publications – Handbook of Financial Econometrics, Volume 1, Tools; and Handbook of Financial Econometrics, Volume 2, Applications.James Heckman is Henry Schultz Professor of Economics at the University of Chicago. A Nobel laureate, he is also a winner of the John Bates Clark Medal and a two-time winner of the Dennis J. Aigner Award for Applied Econometrics frrom the "Journal of Econometrics." Rosa Matzkin is Charles E. Davidson Professor of Economics at the University of California, Los Angeles. A Fellow of the Econometric Society, she is Editor of Editor of "Quantitative Economics," the Journal of the Econometric Society.

• Foundational Issues in Econometrics 1. Decision Theory and Econometric Analysis 2. Modelling Economic Agents as Econometricians 3. Econometric Analysis under Model Misspecification and Model Uncertainty 4. The Role of Assumptions in Econometric Analysis 5. Abduction 6. Structural EconometricsInstrumental Variables/Moments-Based Estimators 7. Conditional Moments 8. Weak Instruments 9. Instrumental Variable Selection 10. Generalized Instrumental Variables 11. Moment Inequalities; this chapter can include uniform inferenceNonlinear and Nonparametric Methods 12. Nonlinear Panel Models 13. Quantile Regression and Shape Restrictions 14. Bayesian Nonparametrics 15. Nonseparable Models with Endogeneity; this chapter can include simultaneous equations/nonparametric choice modelsMeasurement, Estimation, Testing 16. Measurement and Economic Theory 17. Measurement Systems and Measurement Error 18. Sampling 19. Cross-sectional Dependence 20. Analysis of High Dimensional Econometric Models; this chapter can include machine learning 21. Indirect Inference 22. Mixture Models 23. Hypothesis Testing (multiple testing, optimal tests, etc.) 24. Nonregular Models 25. Estimation of Partially Identified Models 26. Matching Estimators 27. Control Functions 28. Treatment Effects 29. Natural Experiments. (We may end up collapsing 26 and 27.)Time Series and Dynamic Models 30. Dynamic Factor Analysis 31. Filtering Methods 32. High Frequency Time Series; operator methods in time series will appear here. 33. Analysis of Low Frequency Fluctuations; this include various suggestions on persistent time series that were made by econometricians we surveyed 34. Stochastic Volatility 35. Vector Autoregressions 36. Bayesian Time Series 37. Forecasting; will require careful evaluation of Handbook of Economic Forecasting in order to avoid overlapComputation 38.  Computational Methods in Time Series Analysis 39.  Bayesian Computation 40. Monte Carlo MethodsApplied Econometrics 41. Games 42. Dynamic Discrete Choice 43. Auctions 44. Econometrics of Industrial Organization 45. Social Networks 46. Hedonic Models 47. Household and Family Models 48. Search Models 49. Dynamic Stochastic General Equilibrium Models 50. Econometrics of Revealed Preference 51. Behavioral Genetics

Stephen Durlauf is Kenneth J. Arrow Professor of Economics, Laurents R. Christensen Professor of Economics, and Vilas Professor at the University of Wisconsin, Madison. He is a Fellow in the Econometric Society and in the American Academy of Arts and Sciences. Lars Peter Hansen is David Rockefeller Distinguished Service Professor at the University of Chicago, and is an internationally known leader in economic dynamics. Hansen guides the scholarly direction of the Becker Friedman Institute and chairs the Institute Research Council. He was one of the forces behind the 2008 creation of the Milton Friedman Institute, the predecessor of the Becker Friedman Institute, and served as its founding director. He was one of three in 2013 to be awarded The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel along with Eugene F. Fama and Robert J. Shiller "for their empirical analysis of asset prices."Hansen’s work explores formal implications of dynamic economic models in which decision makers face uncertain environments. The main theme of his research has been to devise and apply econometric methods that are consistent with the probabilistic framework of the economic models under investigation. His work has implications for consumption, savings investment, and asset pricing. Hansen's early research in econometrics was aimed at developing time series statistical methods to investigate one part of an economic model without having to fully specify and estimate all of the model ingredients. The applications he explored with several coauthors included systems that are rich enough to support models of asset valuation and to identify and clarify empirical puzzles, where real-world financial and economic data were at odds with prevailing academic models. He continues to explore, analyze, and interpret implications of dynamic economic models in environments with uncertainty from a time-series perspective. His recent research explores ways to quantify intertemporal risk-return tradeoffs and ways to model economic behavior when decision makers are uncertain about how to forecast future economic events.Hansen won the 2010 BBVA Foundation Frontiers of Knowledge Award in the Economics, Finance and Management “for making fundamental contributions to our understanding of how economic actors cope with risky and changing environments.” He also received the CME Group-MSRI Prize in Innovative Quantitative Applications in 2008 and the Erwin Plein Nemmers Prize in Economics from Northwestern University in 2006. Hansen is a fellow of the National Academy of Sciences and the American Finance Association. He also is a member of the American Academy of Arts and Sciences and past president of the Econometric Society.Hansen is the editor of two Elsevier publications – Handbook of Financial Econometrics, Volume 1, Tools; and Handbook of Financial Econometrics, Volume 2, Applications.James Heckman is Henry Schultz Professor of Economics at the University of Chicago. A Nobel laureate, he is also a winner of the John Bates Clark Medal and a two-time winner of the Dennis J. Aigner Award for Applied Econometrics frrom the "Journal of Econometrics." Rosa Matzkin is Charles E. Davidson Professor of Economics at the University of California, Los Angeles. A Fellow of the Econometric Society, she is Editor of Editor of "Quantitative Economics," the Journal of the Econometric Society.

• Foundational Issues in Econometrics 1. Decision Theory and Econometric Analysis 2. Modelling Economic Agents as Econometricians 3. Econometric Analysis under Model Misspecification and Model Uncertainty 4. The Role of Assumptions in Econometric Analysis 5. Abduction 6. Structural EconometricsInstrumental Variables/Moments-Based Estimators 7. Conditional Moments 8. Weak Instruments 9. Instrumental Variable Selection 10. Generalized Instrumental Variables 11. Moment Inequalities; this chapter can include uniform inferenceNonlinear and Nonparametric Methods 12. Nonlinear Panel Models 13. Quantile Regression and Shape Restrictions 14. Bayesian Nonparametrics 15. Nonseparable Models with Endogeneity; this chapter can include simultaneous equations/nonparametric choice modelsMeasurement, Estimation, Testing 16. Measurement and Economic Theory 17. Measurement Systems and Measurement Error 18. Sampling 19. Cross-sectional Dependence 20. Analysis of High Dimensional Econometric Models; this chapter can include machine learning 21. Indirect Inference 22. Mixture Models 23. Hypothesis Testing (multiple testing, optimal tests, etc.) 24. Nonregular Models 25. Estimation of Partially Identified Models 26. Matching Estimators 27. Control Functions 28. Treatment Effects 29. Natural Experiments. (We may end up collapsing 26 and 27.)Time Series and Dynamic Models 30. Dynamic Factor Analysis 31. Filtering Methods 32. High Frequency Time Series; operator methods in time series will appear here. 33. Analysis of Low Frequency Fluctuations; this include various suggestions on persistent time series that were made by econometricians we surveyed 34. Stochastic Volatility 35. Vector Autoregressions 36. Bayesian Time Series 37. Forecasting; will require careful evaluation of Handbook of Economic Forecasting in order to avoid overlapComputation 38.  Computational Methods in Time Series Analysis 39.  Bayesian Computation 40. Monte Carlo MethodsApplied Econometrics 41. Games 42. Dynamic Discrete Choice 43. Auctions 44. Econometrics of Industrial Organization 45. Social Networks 46. Hedonic Models 47. Household and Family Models 48. Search Models 49. Dynamic Stochastic General Equilibrium Models 50. Econometrics of Revealed Preference 51. Behavioral Genetics