Econ 440: Lecture 8 PDF
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Uploaded by EnrapturedDragon
Texas A&M University
2024
Ragan Petrie
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Summary
This lecture from Texas A&M University's Econ 440 course discusses the decline in drug overdose deaths, explores potential explanations, and examines time preferences using economic models. The lecture uses examples and data to illustrate concepts in economics, including modeling consumption and motivating choices.
Full Transcript
Econ 440: Lecture 8 Prof. Ragan Petrie Texas A&M University September 19, 2024 Decline in drug overdose deaths Source: NPR, Sept 18, 2024 Good news, but why? ▶ Possible explanations ▶ Demand: Decline in use of fentanyl, methamphetamines, xylazine and other synthetic chemica...
Econ 440: Lecture 8 Prof. Ragan Petrie Texas A&M University September 19, 2024 Decline in drug overdose deaths Source: NPR, Sept 18, 2024 Good news, but why? ▶ Possible explanations ▶ Demand: Decline in use of fentanyl, methamphetamines, xylazine and other synthetic chemicals ▶ Supply: law enforcement efforts at border; gangs mixing xylazine with fentanyl which delays onset of withdrawal ▶ Use adaptation: drug users more likely to carry overdose-reversal medication (naloxone) ▶ Decline in drug user population: most have died off already ▶ Important public health question and limited budget to do something ▶ Confounding explanations, may not be causal ▶ How could you use experimental methods to learn what might be most cost-effective way to decrease drug overdose deaths? Time Preferences Time Preferences Time Preferences The Standard Model: Exponential Discounting The Standard Model: Exponential Discounting Time Preferences The Standard Model: Exponential Discounting Motivation ▶ Which would you rather have? ▶ $100 today OR $90 one year from now ▶ $100 today OR $100 one year from now ▶ $100 today OR $110 one year from now ▶ $100 today OR $150 one year from now ▶ If you value money today more than the same amount in the future, then we say you are impatient Time Preferences The Standard Model: Exponential Discounting Consumption Over Time ▶ Consider a stream of consumption (or wealth or income) over T time periods, starting with period 1: c = (c1 , c2 , c3 ,... , cT ) ▶ ct is the consumption in period t ▶ Example, T = 3 periods: (c1 , c2 , c3 ) = ($5, $10, $0) ▶ Utility is a function of the entire stream of income: U(c) = f (c1 , c2 , c3 ,... , cT ) ▶ If impatient, then would prefer to have an extra dollar today rather than tomorrow, implying: ∂U ∂U > ∂ct ∂ct+1 or more generally: ∂U ∂ct+1 ∂U δu(2) ▶ Treatment 2: choose early option if δ 4 u(1) > δ 5 u(2) ▶ Reduces to u(1) > δu(2), same as Treatment 1 ▶ Thus we expect same percentage subjects choosing early option in both treatments ▶ What actually happened? ▶ Treatment 1 (immediate): 60% choose early option ▶ Treatment 2 (delay): 30% choose early option