VIPSolutions logo ✨ VIPSolutions

Give step-by-step solution with explanation and final answer: Your marketing research department estimates that the log-linear demand function for your product is In Q ^ d = 8.2 - 1.6 * ln(P) The standard error of the coefficient for In P is 0.3, and the 95 percent confidence interval runs from -2.2 to-1.0. At a price of $50, the predicted price elasticity of demand is equal to ______

Question:

Give step-by-step solution with explanation and final answer: Your marketing research department estimates that the log-linear demand function for your product is In Q ^ d = 8.2 - 1.6 * ln(P) The standard error of the coefficient for In P is 0.3, and the 95 percent confidence interval runs from -2.2 to-1.0. At a price of $50, the predicted price elasticity of demand is equal to ______

This is AI generated Response.
Asked by: mayank
Created at: 2025-09-16 17:44:51

Final Answer:

Rendered Raw Text
Did you like this answer?
# Step-by-Step Solution ## 1. **Given Log-Linear Demand Function** \[ \ln Q^d = 8.2 - 1.6 \ln P \] where - \(Q^d\): Quantity demanded - \(P\): Price ## 2. **Price Elasticity of Demand for Log-Linear Functions** For a demand function of the form \[ \ln Q^d = a + b \ln P \] the price elasticity of demand (\(E_d\)) is simply the coefficient \(b\) (i.e., the elasticity is **constant**): \[ E_d = \frac{\partial Q}{\partial P} \cdot \frac{P}{Q} \] \[ \frac{\partial \ln Q}{\partial \ln P} = b \implies E_d = b \] So, **the price elasticity of demand is \(-1.6\) at any price**, including $50. ## 3. **Check if Elasticity Changes with Price** In this log-linear form, the elasticity does **not** depend on the price; it's always \(-1.6\). ## 4. **Final Answer** \[ \boxed{-1.6} \] **At a price of $50, the predicted price elasticity of demand is \(-1.6\).** --- ### **Summary Table** | Quantity | Value | |----------|-------------------| | Coefficient of \(\ln P\) | \(-1.6\) | | Standard error | \(0.3\) | | 95% Confidence Interval | \([-2.2, -1.0]\) | | Predicted Elasticity | \(\boxed{-1.6}\) |

Question:

solve it step by step with whole calculation

This is AI generated Response.
Asked by: mayank
Created at: 2025-09-16 17:51:33

Final Answer:

Rendered Raw Text
Did you like this answer?
# Step-by-Step Calculation of Price Elasticity of Demand ## 1. **Understanding the Demand Function** The demand function given is: \[ \ln Q^d = 8.2 - 1.6 \ln P \] In this function: - \(Q^d\) represents the quantity demanded. - \(P\) is the price of the product. ## 2. **Identifying the Coefficient** From the demand function, the coefficient before \(\ln P\) is \(-1.6\). This coefficient directly represents the price elasticity of demand (\(E_d\)) in a log-linear model. ## 3. **Price Elasticity of Demand Formula** The formula for price elasticity of demand when using a log-linear function is: \[ E_d = \frac{\partial Q}{\partial P} \cdot \frac{P}{Q} \] However, in the log-linear form: \[ \frac{\partial \ln Q}{\partial \ln P} = b \] Here, \(b\) is the coefficient of \(\ln P\), which is \(-1.6\). Thus: \[ E_d = -1.6 \] ## 4. **Elasticity at a Specific Price** Since the elasticity derived from this function is constant, it remains \(-1.6\) regardless of the price level. Therefore, we can say: \[ E_d \text{ at } P = 50 \text{ is } -1.6. \] ## 5. **Final Answer** The predicted price elasticity of demand at a price of $50 is: \[ \boxed{-1.6} \] ### **Summary of Key Points** - The coefficient for \(\ln P\) is \(-1.6\), which indicates the price elasticity of demand. - The elasticity does not change with price in a log-linear demand function. - The final calculated price elasticity of demand at any price, including $50, is \(-1.6\).

📢 Instructions:

  • Ask anything relatd to above question only.
  • For new Question goto :

Study Help, Fast Answers

VIPSolutions focuses on clear, step‑by‑step explanations so you can learn quickly. Whether you need an AI‑generated walkthrough or a short hint to get unstuck, each solution is organized for fast reading and easy review later.

Search similar questions, compare approaches, and bookmark the best answers for revision. Our goal is simple: quick, reliable study help that feels natural—not noisy.