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      • A Local Projections Approach to Difference-in-Differences Event Studies
      • A Neural Phillips Curve and a Deep Output Gap
      • agency
      • An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data
      • Autoregressive models
      • Ben Franklin's Autoencoder
      • Beveridge-Nelson Decomposition
      • Boosting: Why You Can Use the Hp Filter
      • Career success and career capital are cointegrated
      • Careers are a random walk
      • Change leads to insight far more often than insight leads to change
      • Correlation between prices and quantities reveals main market driver
      • Diffusion models
      • Don't detrend random walks with linear trends
      • Don't rely on inspiration to write
      • Dynamic covariate balancing: Estimating treatment effects over time with potential local projections
      • Dynamic factor model
      • Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics
      • Essays in Macroeconometrics
      • Exponentials drive asymmetry
      • FAQ: How do I extract the output gap?
      • Fat tails preclude ergodicity
      • First impression are high variance
      • Focus on the residuals
      • For the effectual reasoner, residuals are inputs rather than outputs
      • Forecast Error Variance Decompositions with Local Projections
      • Forecasting levels of log variables in vector autoregressions
      • Generalized Random Forests
      • Get leverage on the fixed cost of pain
      • Goals should be binomial
      • Good ideas are testable ideas
      • Good representations reduce sample complexity of downstream tasks
      • Granular IV
      • Granularity
      • Growth and Ideas
      • Hamilton filter
      • Highly likely events do not yield much information
      • How Big Is the Random Walk in GNP?
      • How Competitive is the Stock Market? Theory, Evidence from Portfolios, and Implications for the Rise of Passive Investing
      • How the Wealth Was Won: Factor Shares as Market Fundamentals
      • Ideas generate increasing returns because they are nonrivalrous
      • Identification and Estimation of Dynamic Causal Effects in Macroeconomics Using External Instruments
      • If you're not sure something is getting better, it's not
      • Impulse Response Estimation by Smooth Local Projections
      • In the long-run, all costs are variable
      • Inference in Heavy-Tailed Nonstationary Multivariate Time Series
      • Information is relative
      • Information is surprisal
      • Interaction generates non-normality
      • Invest in companies like you invest in your career
      • Iterative tinkering enhances effective IQ
      • Just do more
      • Labor relationships have debt-like features
      • Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I ( 1 ) cointegrated factors
      • Lasso Inference for High-Dimensional Time Series
      • Learned representations are more important than what you do with them
      • Linear Algebra Done Right
      • Linearly separable problems are easy to solve
      • Local projections
      • Local projections vs. VARs
      • Local Projections vs. VARs: Lessons From Thousands of DGPs
      • Look for high talent and high agency
      • Mathematical Foundations of Machine Learning
      • Maximize the entropy of your information sources
      • Maximize your output of testable ideas
      • Model Selection for Local Projections Instrumental Variable Methods - Empirical Application to Government Spending Multipliers.
      • Model-Free Impulse Responses
      • Moving average model
      • Network egress is a lock-in tactic for public cloud providers
      • Not all spurious correlation is random
      • Observe before you analyze
      • Origins of Stock Market Fluctuations
      • Perfect competition is not optimal under increasing returns to scale
      • Planning your time is like choosing to dance on beat
      • Pre-train your representations before learning judgement
      • Prediction is compression, compression is expression
      • Principal component analysis
      • Principal Component Analysis for Nonstationary Series
      • Principal components estimation and identification of static factors
      • Random walk
      • residuals
      • self-supervised learning
      • Short and Variable Lags
      • Sparse Trend Estimation
      • Subset selection for vector autoregressive processes using Lasso
      • Systematic shifts in scaling behavior based on organizational strategy in universities
      • Tariffs and Growth: Heterogeneous Effects by Economic Structure
      • The Adaptive Lasso and Its Oracle Properties
      • The Bayesian Lasso
      • The Disappointing Recovery of Output after 2009
      • The Liquidity Channel of Fiscal Policy
      • Under fat tails, look for quick reasons to say yes
      • Under fat tails, outliers drive movements in the mean
      • Under fat tails, unbiasedness is overrated
      • Use TK liberally
      • variance
      • Vector autoregression
      • VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
      • Volatility is information
      • When in doubt, don't difference
      • When unskilled, complicate the game and add randomness
      • With the right representation, judgement is cheap

    In the long-run, all costs are variable

    References

    MIT 14.01 Principles of Microeconomics, Fall 2018

    eonline

    Backlinks

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        • A Local Projections Approach to Difference-in-Differences Event Studies
        • A Neural Phillips Curve and a Deep Output Gap
        • agency
        • An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data
        • Autoregressive models
        • Ben Franklin's Autoencoder
        • Beveridge-Nelson Decomposition
        • Boosting: Why You Can Use the Hp Filter
        • Career success and career capital are cointegrated
        • Careers are a random walk
        • Change leads to insight far more often than insight leads to change
        • Correlation between prices and quantities reveals main market driver
        • Diffusion models
        • Don't detrend random walks with linear trends
        • Don't rely on inspiration to write
        • Dynamic covariate balancing: Estimating treatment effects over time with potential local projections
        • Dynamic factor model
        • Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics
        • Essays in Macroeconometrics
        • Exponentials drive asymmetry
        • FAQ: How do I extract the output gap?
        • Fat tails preclude ergodicity
        • First impression are high variance
        • Focus on the residuals
        • For the effectual reasoner, residuals are inputs rather than outputs
        • Forecast Error Variance Decompositions with Local Projections
        • Forecasting levels of log variables in vector autoregressions
        • Generalized Random Forests
        • Get leverage on the fixed cost of pain
        • Goals should be binomial
        • Good ideas are testable ideas
        • Good representations reduce sample complexity of downstream tasks
        • Granular IV
        • Granularity
        • Growth and Ideas
        • Hamilton filter
        • Highly likely events do not yield much information
        • How Big Is the Random Walk in GNP?
        • How Competitive is the Stock Market? Theory, Evidence from Portfolios, and Implications for the Rise of Passive Investing
        • How the Wealth Was Won: Factor Shares as Market Fundamentals
        • Ideas generate increasing returns because they are nonrivalrous
        • Identification and Estimation of Dynamic Causal Effects in Macroeconomics Using External Instruments
        • If you're not sure something is getting better, it's not
        • Impulse Response Estimation by Smooth Local Projections
        • In the long-run, all costs are variable
        • Inference in Heavy-Tailed Nonstationary Multivariate Time Series
        • Information is relative
        • Information is surprisal
        • Interaction generates non-normality
        • Invest in companies like you invest in your career
        • Iterative tinkering enhances effective IQ
        • Just do more
        • Labor relationships have debt-like features
        • Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I ( 1 ) cointegrated factors
        • Lasso Inference for High-Dimensional Time Series
        • Learned representations are more important than what you do with them
        • Linear Algebra Done Right
        • Linearly separable problems are easy to solve
        • Local projections
        • Local projections vs. VARs
        • Local Projections vs. VARs: Lessons From Thousands of DGPs
        • Look for high talent and high agency
        • Mathematical Foundations of Machine Learning
        • Maximize the entropy of your information sources
        • Maximize your output of testable ideas
        • Model Selection for Local Projections Instrumental Variable Methods - Empirical Application to Government Spending Multipliers.
        • Model-Free Impulse Responses
        • Moving average model
        • Network egress is a lock-in tactic for public cloud providers
        • Not all spurious correlation is random
        • Observe before you analyze
        • Origins of Stock Market Fluctuations
        • Perfect competition is not optimal under increasing returns to scale
        • Planning your time is like choosing to dance on beat
        • Pre-train your representations before learning judgement
        • Prediction is compression, compression is expression
        • Principal component analysis
        • Principal Component Analysis for Nonstationary Series
        • Principal components estimation and identification of static factors
        • Random walk
        • residuals
        • self-supervised learning
        • Short and Variable Lags
        • Sparse Trend Estimation
        • Subset selection for vector autoregressive processes using Lasso
        • Systematic shifts in scaling behavior based on organizational strategy in universities
        • Tariffs and Growth: Heterogeneous Effects by Economic Structure
        • The Adaptive Lasso and Its Oracle Properties
        • The Bayesian Lasso
        • The Disappointing Recovery of Output after 2009
        • The Liquidity Channel of Fiscal Policy
        • Under fat tails, look for quick reasons to say yes
        • Under fat tails, outliers drive movements in the mean
        • Under fat tails, unbiasedness is overrated
        • Use TK liberally
        • variance
        • Vector autoregression
        • VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
        • Volatility is information
        • When in doubt, don't difference
        • When unskilled, complicate the game and add randomness
        • With the right representation, judgement is cheap

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