The Basic Urban Model 3: Comparative Statics

Slides:



Advertisements
Similar presentations
Chapter 5 Urban Growth. Purpose This chapter explores the determinants of growth in urban income and employment.
Advertisements

Urban and Regional Economics Weeks 8 and 9 Evaluating Predictions of Standard Urban Location Model and Empirical Evidence.
PowerPoint Lectures for Principles of Macroeconomics, 9e
1 of 41 PART III The Core of Macroeconomic Theory © 2012 Pearson Education, Inc. Publishing as Prentice Hall The Core of Macroeconomic Theory.
Fun with Rent Functions! We derived a rent gradient Remember, slope was related to mgl transport cost. Let’s assume that we have an open city. What does.
Fun with Rent Functions! We derived a rent gradient Remember, slope was related to mgl transport cost. Let’s assume that we have an open city. What does.
1 of 11 PART III The Core of Macroeconomic Theory © 2012 Pearson Education, Inc. Publishing as Prentice Hall Prepared by: Fernando Quijano & Shelly Tefft.
V PART The Core of Macroeconomic Theory.
Overview of Urban Economics
ECN741: Urban Economics The Basic Urban Model 3: Comparative Statics.
1 Lecture 8 The Keynesian Theory of Consumption Other Determinants of Consumption Planned Investment (I) The Determination of Equilibrium Output (Income)
1 of 33 © 2014 Pearson Education, Inc. CHAPTER OUTLINE 8 Aggregate Expenditure and Equilibrium Output The Keynesian Theory of Consumption Other Determinants.
In his classic "The General Theory of Employment, Interest and Money" Keynes telling about two important things: If you find your income going up,
Frank Cowell: Microeconomics Exercise 8.11 MICROECONOMICS Principles and Analysis Frank Cowell November 2006.
MARKET ADJUSTMENTS Changes To Demand And Supply. MARKET ADJUSTMENTS l The price of a product remains at the equilibrium point until something changes.
ECN741: Urban Economics More General Treatment of Housing Demand.
College Algebra & Trigonometry
10. Envelope Theorem Econ 494 Spring Agenda Indirect profit function Envelope theorem for general unconstrained optimization problems Theorem Proof.
7.1 E XPONENTIAL F UNCTIONS, G ROWTH, AND D ECAY Warm Up Evaluate (1.08) (1 – 0.02) ( ) –10 ≈ ≈ ≈ Write.
Neighborhood Amenities
ECN741: Urban Economics The Basic Urban Model: Solutions.
Estimating Housing Demand
1 of 27 The level of GDP, the overall price level, and the level of employment—three chief concerns of macroeconomists—are influenced by events in three.
Complex Numbers and Equation Solving 1. Simple Equations 2. Compound Equations 3. Systems of Equations 4. Quadratic Equations 5. Determining Quadratic.
© 2009 Pearson Education, Inc. Publishing as Prentice Hall Principles of Economics 9e by Case, Fair and Oster 23 PART V THE CORE OF MACROECONOMIC THEORY.
INTEGRALS 5. INTEGRALS In Chapter 3, we used the tangent and velocity problems to introduce the derivative—the central idea in differential calculus.
ECN741: Urban Economics The Basic Urban Model 3: Comparative Statics Professor John Yinger, The Maxwell School, Syracuse University, 2016.
Copyright © 2017 Pearson Education, Inc Principles of Economics Twelfth Edition Chapter 5 Elasticity.
ECN741: Urban Economics Estimating Housing Demand Professor John Yinger, The Maxwell School, Syracuse University, 2016.
Optimization: Doing the
More General Treatment of Housing Demand
Urban Land Values and Urban Form
The Basic Urban Model 1: Assumptions
Public Finance Seminar Spring 2017, Professor Yinger
MTH1170 Differential Equations
Financial Risk Management of Insurance Enterprises
Estimating Housing Demand
Population Ecology Part Two: Population Growth
CASE FAIR OSTER MACROECONOMICS P R I N C I P L E S O F
Exploring Exponential Growth and Decay Models
Confidence intervals: The basics
Population Ecology Part Two: Population Growth
PowerPoint Lectures for Principles of Economics, 9e
The Simple Linear Regression Model: Specification and Estimation
PowerPoint Lectures for Principles of Economics, 9e
Population Ecology Part Two: Population Growth
6.5 Taylor Series Linearization
Differential Equations
Chapter 8 The Urban Labor Market.
What LIMIT Means Given a function: f(x) = 3x – 5 Describe its parts.
PowerPoint Lectures for Principles of Economics, 9e
Class 3: Housing Concepts, Household Bids
Household Heterogeneity Supplementary Slides
Confidence intervals: The basics
Trading and Factory Towns
Public Finance Seminar Spring 2019, Professor Yinger
Public Finance Seminar Spring 2019, Professor Yinger
Optimization: Doing the
Chapter 7 Functions of Several Variables
Public Finance Seminar Spring 2017, Professor Yinger
Class 3: Housing Concepts, Household Bids
Objectives 6.1 Estimating with confidence Statistical confidence
Objectives 6.1 Estimating with confidence Statistical confidence
The Basic Urban Model 3: Comparative Statics
Chapter 3 Techniques of Differentiation
PowerPoint Lectures for Principles of Macroeconomics, 9e
Variables.
Presentation transcript:

The Basic Urban Model 3: Comparative Statics ECN741: Urban Economics The Basic Urban Model 3: Comparative Statics Professor John Yinger, The Maxwell School, Syracuse University, 2017

Class Outline 1. The point of comparative statics and how to do it The Basic Urban Model Class Outline 1. The point of comparative statics and how to do it 2. Open model comparative statics results 3. Closed model comparative statics results 4. Comparative statics graphs

Class Outline 1. The point of comparative statics and how to do it The Basic Urban Model Class Outline 1. The point of comparative statics and how to do it 2. Open model comparative statics results 3. Closed model comparative statics results 4. Comparative statics graphs

Why Comparative Statics? The Basic Urban Model Why Comparative Statics? Urban models describe urban residential structure when (simplified!) models of 6 markets are combined. A key set of questions involves the way urban residential structure changes when one of the parameters of the model changes. Comparative statics is a method to find the derivatives of the variables in the model with respect to key parameters—accounting for interactions across markets.

Why Comparative Statics, 2? The Basic Urban Model Why Comparative Statics, 2? Key parameters include Y, t, , U* (open), and N (closed). With the basic model we can ask what happens to urban residential structure when incomes rise over time; transportation innovation or investment takes place; the cost of non-urban activity (e.g. agriculture) changes; the situation in one city changes (or the opportunities in other cities change); or population increases everywhere (or in one city where out- migration does not occur).

How To Do Comparative Statics The Basic Urban Model How To Do Comparative Statics Comparative statics (CS) results are based on total derivatives, not partial derivatives. CS results must account for all the variables in one of the equations we have derived. For example, many of the equations in the model, including equations for R{u}, P{u}, and D{u}, can be expressed as a function of the parameters and only one variable, namely, .

How to Do Comparative Statics, 2 The Basic Urban Model How to Do Comparative Statics, 2 In these cases, CS derivations are based on equation like this one for R{u}: In this equation, δ can be any of the model’s parameters (at least any of the ones that appear in the R{u} equation!). A key to finding many CS derivatives, therefore, is to find the impact of the relevant parameter on .

Class Outline 1. The point of comparative statics and how to do it The Basic Urban Model Class Outline 1. The point of comparative statics and how to do it 2. Open model comparative statics results 3. Closed model comparative statics results 4. Comparative statics graphs

Open Model Comparative Statics The Basic Urban Model Open Model Comparative Statics Most CS results are relatively easy to obtain with an open model because of the form taken by the indirect utility function: or

Open Model Comparative Statics, 2 The Basic Urban Model Open Model Comparative Statics, 2 In this formulation, is on the left side of the equation and all the key parameters are on the right. So it is straightforward to derive CS results for the impact of all these parameters on . These results can then be inserted into the formula given earlier to find CS results for R{u} and other variables.

Open Model Comparative Statics, 3 The Basic Urban Model Open Model Comparative Statics, 3 From We can see that

Open Model Comparative Statics, 4 The Basic Urban Model Open Model Comparative Statics, 4 So the physical size of an urban area: Increases when income rises. Decreases when commuting costs rise. Decreases when opportunities improve elsewhere. Decreases when agriculture becomes more profitable.

Open Model Comparative Statics, 5 The Basic Urban Model Open Model Comparative Statics, 5 Now take the expression for R{u} To find the CS derivative for Y, differentiate with respect to Y, recognizing that Y affects , and plug in the above result for d /dY. The result:

Open Model Comparative Statics, 5 The Basic Urban Model Open Model Comparative Statics, 5 Similarly, we can start with the expression for N Then we can differentiate with respect to Y, recognizing that Y affects , and plug in the above result for d /dY. This yields:

Open Model Comparative Statics Table The Basic Urban Model Open Model Comparative Statics Table   Parameter Variable Y t U* + - R{u} or P{u} or D{u} N

Class Outline 1. The point of comparative statics and how to do it The Basic Urban Model Class Outline 1. The point of comparative statics and how to do it 2. Open model comparative statics results 3. Closed model comparative statics results 4. Comparative statics graphs

Closed Model Comparative Statics The Basic Urban Model Closed Model Comparative Statics In a closed model, the derivatives of with respect to the parameters come from the population equation, now with a bar over the N: This equation is messier than the one for an open model, but its nonlinearity does not get in the way of CS as it does for solving the model.

Closed Model Comparative Statics, 2 The Basic Urban Model Closed Model Comparative Statics, 2 For example, after a little algebra one can show that: Not surprisingly, increasing agricultural rents shrinks the urban area. Recall: b = 1/aα.

Closed Model Comparative Statics, 3 The Basic Urban Model Closed Model Comparative Statics, 3 To find the CS derivative , we must substitute this result into: The result (derive as an exercise) indicates, not surprisingly, that more competition for land squeezes an urban area and pushes up rents (and density) until there is enough room for the population in a smaller space.

Closed Model Comparative Statics Table The Basic Urban Model Closed Model Comparative Statics Table   Parameter Variable Y t N + - R{u} or P{u} or D{u} small u:- large u:+ small u:+ large u: - U*

Class Outline 1. The point of comparative statics and how to do it The Basic Urban Model Class Outline 1. The point of comparative statics and how to do it 2. Open model comparative statics results 3. Closed model comparative statics results 4. Comparative statics graphs

Comparative Statics Intuition The Basic Urban Model Comparative Statics Intuition We can develop an intuition for these results with some simple graphs for R{u} (or P{u} or D{u}). To interpret these graphs note that Population depends on density and urban size (= ). A change in Y flattens P{u}and R{u} (remember, Pʹ{u}= -t/H and H depends on Y). A change in t steepens R{u}.

CS Result for Y Open Model Closed Model R{u} R{u} u u The Basic Urban Model CS Result for Y Open Model Closed Model R{u} R{u} u u With city size increase, density cannot increase at all locations R must rise at u=0 because utility is fixed Density declines near center Density increases in suburbs, which grow

CS Result for t Open Model Closed Model R{u} R{u} u u The Basic Urban Model CS Result for t Open Model Closed Model R{u} R{u} u u With city size decrease, density cannot decrease at all locations R does not change at u=0 because tu=0. Density goes up in the center and down in the suburbs, which shrink.

CS Result for Open Model Closed Model R{u} R{u} u u The Basic Urban Model CS Result for Open Model Closed Model R{u} R{u} u u City size and density cannot both move in the same direction Utility level (indexed by height of R{u}) cannot change Implies higher density every- where

Other CS Results Open Model (U*) Closed Model (N) R{u} R{u} u u The Basic Urban Model Other CS Results Open Model (U*) Closed Model (N) R{u} R{u} u u City shrinks and becomes less dense City grows and becomes more dense

Informal Tests of CS Results The Basic Urban Model Informal Tests of CS Results These results predict that cities will get less dense in the center, more dense in the suburbs, and larger as incomes rise and transportation costs fall. Many estimates of population density functions for cities around the world find this to be true. But the models have only one worksite and many other simplifications. Is this just a lucky coincidence or do the models capture something fundamental?