Adapting to rates versus amounts of climate change: A case of adaptation to sea level rise Supplementary Information

Size: px
Start display at page:

Download "Adapting to rates versus amounts of climate change: A case of adaptation to sea level rise Supplementary Information"

Transcription

1 Adapting to rates versus amounts of climate change: A case of adaptation to sea level rise Supplementary Information Soheil Shayegh, Juan Moreno-Cruz, Ken Caldeira We formulate a dynamic model to solve the problem of finding an optimal investment strategy, in which a single decision maker such as a private investor or local government aims to maximize the net present value of a unit investment in the coastal zone. We first introduce the notation for formulating this problem and then look at different adaptation strategies and compare their outcomes. We end with a numerical example. S Model Formulation S. Variables B x,t : Infrastructure capital L x,t : Land attractiveness R x,t : Revenue from a unit investment W x,t : Net present value of unit investment D h : Cost of building and maintaining the dike S.2 Parameters δ: Infrastructure depreciation rate θ: Coefficient of land attractiveness r: Discount rate R : Constant revenue v: Speed of sea level rise h: Effective height of the dike s: Slope of the shore α, β: coefficients of cost function

2 S.3 Equations Land attractiveness L x = e θx Infrastructure capital dynamics B x,t t = δb x,t B x,t = e δt 2 Revenue from a unit investment R x,t = B x,t L x R 3 Cost of building a dike D h = α + β h 4 2

3 S2 Assessing investment strategies First we analyze the case where there is no protection against the sea level rise. In this case the only adaptation measure will be to retreat and invest in areas far from the sea. For a given zone that lies in distance x from the sea, the land attractiveness is increasing with the rate of sea level rise L x,t = e θx vt/s. For simplicity, later we assume s =. Therefore the revenue from a unit investment is R x,t = e δt L x,t R. The total elapsed time before this location is flooded can be calculated as t max = x/v. The net present value of unit investment then can be expressed as: W x = = = tmax=xs/v xs/v xs/v e rt R x,t = xs/v e rt e δt e θx vt/s R e θv/s r δt e θx R xs/v = e θx R e θv/s r δt e rt e δt L x,t R θv/s r δx = e θx R e v/s θv/s r δ R e θx = e r+δ θv/s x v/s 5 r + δ θv/s This equation gives the necessary condition for feasibility of the solution when r + δ θv/s θ r + δ v/s 6 In order to find the critical location for the unit investment where the total revenue is maximum, we take the derivative of W x with respect to x: W x x r + δ r+δ = v/s e v/s x = θe θx x = ln r+δ θv/s θ r+δ θv/s W = R r+δ θv/s θv/s r+δ θv/s r + δ 7 In the limits when θ r+δ, we have v/s x v/s. The general shape of W r+δ x function is shown in Figure S. 3

4 Figure S: Net present value of unit investment W x as a function of location x. 4

5 S2. No adaptation We can think of no adaptation case as a case with no sea level rise. In that sense it will be the limiting case where v in Equation 7. In this case the optimal location x. In this case the investment is only made at the closest place to the current shoreline which will be lost due to the upcoming sea level rise. Figure S2: In the case of no adaptation the net present value of unit investment goes to zero as the sea level rises. S2.2 Adaptation to amounts of change In this case a buffer zone is created near the shoreline. The sea is expected to rise only up to the limits of this zone and therefore, the new investments are assumed to be protected beyond the buffer zone. Lets denote by x the depth of the buffer zone. In this case, the investors assume that the land attractiveness remains unchanged and therefore their perceived net present value NPV of unit investment can be written as: W x = = R e θx r + δ e rt e δt e θx R = e θx R e r+δt for x x 8 From the equation above it is apparent that W is decreasing in x and therefore, the optimal investment happens at x = x. The maximum perceived NPV in this case will be W x = R e θ x. This location is considered to have the most land attractiveness because r+δ investment is prohibited within the buffer zone. However, in reality the sea level continues to rise until it surpasses the buffer zone at time t =. So the real net present value W x v/s 5

6 comes from investing right at the border of the buffer zone where we have: W x = R e θ x e r+δ θv/s x v/s 9 r + δ θv/s We can compare this case with the optimal case presented in Equation 7. if the buffer zone ends before the optimal location x, that is x > x, there will be a missed opportunity since the optimal location for the unit investment would still be feasible but the investment is made closer to the shoreline instead of at its optimal location. On the other hand, If x x the best place to investment will be at the edge of the buffer zone that is farther from the shoreline and therefore generates less NPV. 6

7 a x x: If the buffer zone ends before the optimal location x, the NPV of unit investment at the edge of the buffer zone is less than the optimal NPV at x. b x < x: If the buffer zone goes beyond the optimal location x, the best location to make a unit investment will be at the edge of the buffer zone at x that generates less NPV than investing at x. Figure S3: Adapting to the amount of change 7

8 S2.3 Adaptation to rates of change In the this case a unit investment can be made at the optimal location x as it is shown in Figure S4. The maximum achievable net present value from a unit investment is W. Figure S4: Adapting to the rate of change. The optimal location for unit investment is at x. S2.4 Adaptation with protection To account for the dike case, we assume that only one dike can be built in the current location of the shoreline. Further, we assume that the cost of building and maintaining the dike is a linear function of its height as expressed in Equation 4. We can consider dike as an option that delays the sea level rise for a finite amount of time. This means the dike can be built only in a predefined height. When the sea level reaches this height h after a certain time period defined as h/v, we will retreat inland and invest similar to the case with no dike. Therefore, for any given height of h we need to calculate and compare two cases. The first is the case of investment beyond the protected zone. The protection option provides a temporary hold to the sea level rise and therefore, keeps the land attractiveness fixed until the sea level reaches the height of the dike. Once the water surpassed the dike, it will approach the investment location with horizontal speed of v/s. The attractiveness increases as the distance from the shoreline decreases at a constant rate. The second option is to invest within the protected zone right behind the dike where it has the highest land attractiveness. This investment lasts shorter compared to the previous case. After the investment is flooded, the optimal investment will follow the optimal investment discussed in Section S2.3. 8

9 In order to be able to compare the net present value of these two scenarios and decide about the optimal approach, we need to have the same time scale for both scenarios. Since the fist option investing beyond the protected zone last longer, we pick its time scale and adopted for the second scenario.. Investing beyond the protected zone W x>h/s,h = t=h/v t= e rt e δt e θx R + = R e θx [ e r+δh/v r + δ t=xs/v t=h/v e rt e δt e θx vt/s R + e r+δ θv/sh/v e r+δ θv/sxs/v r + δ θv/s [ e = R e θx r+δh/v + e r+δ θv/sh/v r + δ r + δ θv/s }{{} A h [ ] = R e θx A h e Bxs/v B e r+δ θv/sxs/v r + δ θv/s }{{} B ] ] The optimal location of the unit investment is a value of x that maximizes W : x = argmaxw x>h/s,h = v/sb ln W x, h = R A h θa h θ/b + s/v θ/b θa h θ/b + s/v θ/b + s/v 2. Investing behind the dike W 2 x=,h = t=h/v t= e rt e δt e θx R = R e r+δh/v 2 r + δ Total net present value of unit investment, therefore, can be found by comparing this two options. In long run and with sequential investing, the net present value is found by adding optimal investment at each time step and applying the discount factor to it. As discussed in Section S2, after the last piece of dike goes under water, the optimal strategy will be the same as the case with no protection. S2.5 Net NPV from protection Equations and 2 provide a framework for calculating the optimal NPV of a unit investment as a function of the dike s height. To calculate the total NPV, we calculate the NPV from a unit investment through time while the sea level is rising and the effective height of the dike is decreasing. Furthermore, we can consider some initial infrastructure by the 9

10 shoreline. In this case, there is an economic incentive for protecting these assets against the sea level rise. Such economic incentive appears as an additional term in calculating the total NPV. Therefore, for any given dike with the initial height h, the total NPV can be written as: NP V dike = max Wx >h/s,h, W 2 x =,h + + r max Wx >h v/s,h v, W 2 x =,h v + + r max W 2 x >h 2v/s,h 2v, W 2 x =,h 2v r max W h v x >v/s,v, W 2 x =,v + R B r + δ [ e r+δh/v ] + Wno dike 3 +r where R B r+δ [ e r+δh/v ] is the NPV of preexisting infrastructure calculated from Equation 2 by considering the initial infrastructure B instead of a unit investment. In this case, at each time step a unit investment is made to recover the loss from capital depreciation. Therefore, the steady-state infrastructure will be B = /δ. We can compare NP V dike with NP V no dike and calculate the difference as the net NPV from protection. Similar to the case above, NP V no dike can be written as a convolution of investments for any given time duration that is translated from a given height of the dike. Investment in optimal location x generates Wno t dike after t time steps: Wno t dike = = = t t t e rt R x,t = t e rt e δt e θx vt/s R e θv/s r δt e θx R t = e θx R e θv/s r δt R e θv/s r δt = e θx θv/s r δ θv/s θv/s r δ θv/s = R r+δ θv/s r δ e rt e δt L x,tr e θv/s r δt 4

11 The NPV of investment in the no-dike case for a time equivalent to a given dike s height can be calculated from this equation: NP V no dike = { h/v + + t= { } + r W t t no dike + r h x s v x s/v t= if h x s + r W t t no dike + h x s v i= } W + r i if h>x s +r τ W no dike 5 where W is the optimal NPV of a unit investment from Equation 7. Since the last argument in the above equation is independent of the dike s height h, we can ignore it when calculating the net NPV as a difference between two cases of NP V dike and NP V no dike. Alternatively, we can estimate the height of the dike using a simple approximation. If the dike is built right where the current shoreline is and the property to be protected is right behind the dike, the optimal height of the dike delays the sea-level rise until the investment is fully depreciated. Therefore, the time needed for the sea-level to reach the top of the dike should be the same as the time needed to depreciate the investment: h v = r + δ h = v r + δ 6

12 S3 Numerical example Here we look at the case with a set of parameters as following: δ =.25 yr : Infrastructure depreciation rate θ =. m : Coefficient of land attractiveness r =.5 yr : Discount rate R = $: Constant revenue v = cm yr : Speed of sea level rise s = cm km : Slope of the shore In this case condition 6 holds as θ =. and r+δ v/s =.75. The optimal values are calculated as x = 3 m and W = $9.78 Red dashed line in Figure S5. The net present value of unit investment in locations closer to or farther from the shoreline is less than this optimal value. For example, the NPV drops by 4% to $8.36 for the location at half the distance from the shoreline at x = 55 m Dark green dashed line in Figure S5. Similarly, the NPV for the location two times farther from the shoreline at x = 62 m decreases by 7% to $8.3 Light green dashed line in Figure S5. Figure S5: Net present value of unit investment W x as a function of location x. The optimal location for unit investment is at x = 3 m. Investments in the areas closer to the sea x < 3 m will disappear before generating the maximum revenue. On the other hand. Investing in farther locations x > 3 m is suboptimal too since the investment will depreciate faster than the rate of increase in land attractiveness. 2

13 If we assume a buffer zone of x = 5 m length, the NPV of unit investment at the edge of the buffer zone can be calculated as $8.97 using Equation 9. This indicates about 8% reduction in every dollar investment compared to investment in the optimal location. Similarly, if we build a dike of.5 m height that protects an area of 5 m length, the NPV of unit investment behind the dike can be obtained from the Equation 2 that is equal to $3.2. This means a 33% increase in NPV due to the protection. S3. Assessment of protection benefit Figure S6 shows the net NPV accumulation in addition to the protection cost curve as functions of the protection height. If the dike is relatively cheap, the optimal height of the dike can be found from the point where there is the largest gap between the revenue from the investment and the cost of the dike line C-D. We assume the parameters of the cost to be α = $2 and β = $8 cm. For this set of parameters, the optimal height of the dike is 2 cm that can protect 2 m of the shoreline for 2 years. If a dike shorter than that represented by point A is considered, the cost of dike is larger than the NPV of protected investment and therefore building the dike is not justified. Similarly, if the protection period is longer than depreciation and discounting period i.e. dike is higher than that represented by point B building a high dike is not justified. Moreover, building a dike is not a viable economic option if the dike is too expensive i.e. the cost curve does not intersect the NPV curve. Figure S6: The feasible height of the dike can be obtained from the intersection of the dike s cost and NPV of unit investment. Building a shorter dike than that represented by point A or higher dike than that represented by point B is not economically feasible. The optimal height of the dike is where the gap between the two graphs is maximum C-D. 3

14 S3.2 Impact of rate of sea level rise and discount rate on optimal solution Increase in the rate of sea level rise v is our equations motivates investment in the areas farther from the shoreline as presented in Equation 7. Figure S7 shows the impact of change in the rate of sea level rise on the optimal location for unit investment. In the base case where the rate of sea level rise is. cm yr, the optimal location for unit investment is at 3 m distance from the shoreline.if the rate of sea level rise increase to 2 cm yr the optimal location moves to 48 m distance from the shoreline. On the other hand, if the rate of sea level rise decreases to.5 cm yr, the optimal location moves closer to the shoreline and will be at 93 m distance from the shoreline. Figure S7: The optimal location for unit investment changes as the rate of sea level rise changes. The optimal location for the base case is located at 3 m distance from the shoreline blue line. Higher rates of sea level rises green lone induce investment in the areas farther from the shoreline. In contrast, lower rates of sea level rise orange line makes the area near the shoreline more attractive for investment. We can investigate the impact of change in discount rate on the optimal location for unit investment in a similar fashion. Contrary to the previous case, higher rate of discounting encourages the investments in the areas closer to the shoreline. Lower discount rates on the other hand, provides more incentive to invest farther from the shoreline. Figure S8 demonstrates the change in the optimal location of unit investment compared to the base case. 4

15 Figure S8: The optimal location for unit investment changes as discount rate changes. The optimal location for the base case is located at 3 m distance from the shoreline blue line. Higher discount rates green lone induce investment in the areas closer to the shoreline. In contrast, lower discount rates orange line makes the area farther from the shoreline more attractive for investment. 5

Dynamic Replication of Non-Maturing Assets and Liabilities

Dynamic Replication of Non-Maturing Assets and Liabilities Dynamic Replication of Non-Maturing Assets and Liabilities Michael Schürle Institute for Operations Research and Computational Finance, University of St. Gallen, Bodanstr. 6, CH-9000 St. Gallen, Switzerland

More information

Ramsey s Growth Model (Solution Ex. 2.1 (f) and (g))

Ramsey s Growth Model (Solution Ex. 2.1 (f) and (g)) Problem Set 2: Ramsey s Growth Model (Solution Ex. 2.1 (f) and (g)) Exercise 2.1: An infinite horizon problem with perfect foresight In this exercise we will study at a discrete-time version of Ramsey

More information

b) According to the statistics above the graph, the slope is What are the units and meaning of this value?

b) According to the statistics above the graph, the slope is What are the units and meaning of this value? ! Name: Date: Hr: LINEAR MODELS Writing Motion Equations 1) Answer the following questions using the position vs. time graph of a runner in a race shown below. Be sure to show all work (formula, substitution,

More information

Problem 1 / 20 Problem 2 / 30 Problem 3 / 25 Problem 4 / 25

Problem 1 / 20 Problem 2 / 30 Problem 3 / 25 Problem 4 / 25 Department of Applied Economics Johns Hopkins University Economics 60 Macroeconomic Theory and Policy Midterm Exam Suggested Solutions Professor Sanjay Chugh Fall 00 NAME: The Exam has a total of four

More information

THE TRAVELING SALESMAN PROBLEM FOR MOVING POINTS ON A LINE

THE TRAVELING SALESMAN PROBLEM FOR MOVING POINTS ON A LINE THE TRAVELING SALESMAN PROBLEM FOR MOVING POINTS ON A LINE GÜNTER ROTE Abstract. A salesperson wants to visit each of n objects that move on a line at given constant speeds in the shortest possible time,

More information

International Macroeconomics

International Macroeconomics Slides for Chapter 3: Theory of Current Account Determination International Macroeconomics Schmitt-Grohé Uribe Woodford Columbia University May 1, 2016 1 Motivation Build a model of an open economy to

More information

Optimal Order Placement

Optimal Order Placement Optimal Order Placement Peter Bank joint work with Antje Fruth OMI Colloquium Oxford-Man-Institute, October 16, 2012 Optimal order execution Broker is asked to do a transaction of a significant fraction

More information

1 The Solow Growth Model

1 The Solow Growth Model 1 The Solow Growth Model The Solow growth model is constructed around 3 building blocks: 1. The aggregate production function: = ( ()) which it is assumed to satisfy a series of technical conditions: (a)

More information

Final Exam (Solutions) ECON 4310, Fall 2014

Final Exam (Solutions) ECON 4310, Fall 2014 Final Exam (Solutions) ECON 4310, Fall 2014 1. Do not write with pencil, please use a ball-pen instead. 2. Please answer in English. Solutions without traceable outlines, as well as those with unreadable

More information

Haiyang Feng College of Management and Economics, Tianjin University, Tianjin , CHINA

Haiyang Feng College of Management and Economics, Tianjin University, Tianjin , CHINA RESEARCH ARTICLE QUALITY, PRICING, AND RELEASE TIME: OPTIMAL MARKET ENTRY STRATEGY FOR SOFTWARE-AS-A-SERVICE VENDORS Haiyang Feng College of Management and Economics, Tianjin University, Tianjin 300072,

More information

Handout 4: Deterministic Systems and the Shortest Path Problem

Handout 4: Deterministic Systems and the Shortest Path Problem SEEM 3470: Dynamic Optimization and Applications 2013 14 Second Term Handout 4: Deterministic Systems and the Shortest Path Problem Instructor: Shiqian Ma January 27, 2014 Suggested Reading: Bertsekas

More information

PORTFOLIO OPTIMIZATION AND EXPECTED SHORTFALL MINIMIZATION FROM HISTORICAL DATA

PORTFOLIO OPTIMIZATION AND EXPECTED SHORTFALL MINIMIZATION FROM HISTORICAL DATA PORTFOLIO OPTIMIZATION AND EXPECTED SHORTFALL MINIMIZATION FROM HISTORICAL DATA We begin by describing the problem at hand which motivates our results. Suppose that we have n financial instruments at hand,

More information

Foundational Preliminaries: Answers to Within-Chapter-Exercises

Foundational Preliminaries: Answers to Within-Chapter-Exercises C H A P T E R 0 Foundational Preliminaries: Answers to Within-Chapter-Exercises 0A Answers for Section A: Graphical Preliminaries Exercise 0A.1 Consider the set [0,1) which includes the point 0, all the

More information

Notes on Estimating the Closed Form of the Hybrid New Phillips Curve

Notes on Estimating the Closed Form of the Hybrid New Phillips Curve Notes on Estimating the Closed Form of the Hybrid New Phillips Curve Jordi Galí, Mark Gertler and J. David López-Salido Preliminary draft, June 2001 Abstract Galí and Gertler (1999) developed a hybrid

More information

An Application of Optimal Design Method on Horizontal Wellbore Length Design

An Application of Optimal Design Method on Horizontal Wellbore Length Design An Application of Optimal Design Method on Horizontal Wellbore Length Design Yueting Hu China National Petroleum Corporation, China No.9 Dong Zhi Men Beidajie, Beijing 100007, China Tel: 86-10-5998-2571

More information

I. The Solow model. Dynamic Macroeconomic Analysis. Universidad Autónoma de Madrid. Autumn 2014

I. The Solow model. Dynamic Macroeconomic Analysis. Universidad Autónoma de Madrid. Autumn 2014 I. The Solow model Dynamic Macroeconomic Analysis Universidad Autónoma de Madrid Autumn 2014 Dynamic Macroeconomic Analysis (UAM) I. The Solow model Autumn 2014 1 / 38 Objectives In this first lecture

More information

So far in the short-run analysis we have ignored the wage and price (we assume they are fixed).

So far in the short-run analysis we have ignored the wage and price (we assume they are fixed). Chapter 7: Labor Market So far in the short-run analysis we have ignored the wage and price (we assume they are fixed). Key idea: In the medium run, rising GD will lead to lower unemployment rate (more

More information

Macroeconomics of the Labour Market Problem Set

Macroeconomics of the Labour Market Problem Set Macroeconomics of the Labour Market Problem Set dr Leszek Wincenciak Problem 1 The utility of a consumer is given by U(C, L) =α ln C +(1 α)lnl, wherec is the aggregate consumption, and L is the leisure.

More information

I. The Solow model. Dynamic Macroeconomic Analysis. Universidad Autónoma de Madrid. Autumn 2014

I. The Solow model. Dynamic Macroeconomic Analysis. Universidad Autónoma de Madrid. Autumn 2014 I. The Solow model Dynamic Macroeconomic Analysis Universidad Autónoma de Madrid Autumn 2014 Dynamic Macroeconomic Analysis (UAM) I. The Solow model Autumn 2014 1 / 33 Objectives In this first lecture

More information

Chapter 9 Dynamic Models of Investment

Chapter 9 Dynamic Models of Investment George Alogoskoufis, Dynamic Macroeconomic Theory, 2015 Chapter 9 Dynamic Models of Investment In this chapter we present the main neoclassical model of investment, under convex adjustment costs. This

More information

Macro Consumption Problems 33-43

Macro Consumption Problems 33-43 Macro Consumption Problems 33-43 3rd October 6 Problem 33 This is a very simple example of questions involving what is referred to as "non-convex budget sets". In other words, there is some non-standard

More information

Survey of Math: Chapter 21: Consumer Finance Savings (Lecture 1) Page 1

Survey of Math: Chapter 21: Consumer Finance Savings (Lecture 1) Page 1 Survey of Math: Chapter 21: Consumer Finance Savings (Lecture 1) Page 1 The mathematical concepts we use to describe finance are also used to describe how populations of organisms vary over time, how disease

More information

ROBUST OPTIMIZATION OF MULTI-PERIOD PRODUCTION PLANNING UNDER DEMAND UNCERTAINTY. A. Ben-Tal, B. Golany and M. Rozenblit

ROBUST OPTIMIZATION OF MULTI-PERIOD PRODUCTION PLANNING UNDER DEMAND UNCERTAINTY. A. Ben-Tal, B. Golany and M. Rozenblit ROBUST OPTIMIZATION OF MULTI-PERIOD PRODUCTION PLANNING UNDER DEMAND UNCERTAINTY A. Ben-Tal, B. Golany and M. Rozenblit Faculty of Industrial Engineering and Management, Technion, Haifa 32000, Israel ABSTRACT

More information

Macro Consumption Problems 12-24

Macro Consumption Problems 12-24 Macro Consumption Problems 2-24 Still missing 4, 9, and 2 28th September 26 Problem 2 Because A and B have the same present discounted value (PDV) of lifetime consumption, they must also have the same

More information

Indian Sovereign Yield Curve using Nelson-Siegel-Svensson Model

Indian Sovereign Yield Curve using Nelson-Siegel-Svensson Model Indian Sovereign Yield Curve using Nelson-Siegel-Svensson Model Of the three methods of valuing a Fixed Income Security Current Yield, YTM and the Coupon, the most common method followed is the Yield To

More information

Mathematics Success Grade 8

Mathematics Success Grade 8 Mathematics Success Grade 8 T379 [OBJECTIVE] The student will derive the equation of a line and use this form to identify the slope and y-intercept of an equation. [PREREQUISITE SKILLS] Slope [MATERIALS]

More information

Dynamic Market Making and Asset Pricing

Dynamic Market Making and Asset Pricing Dynamic Market Making and Asset Pricing Wen Chen 1 Yajun Wang 2 1 The Chinese University of Hong Kong, Shenzhen 2 Baruch College Institute of Financial Studies Southwestern University of Finance and Economics

More information

Analysing the IS-MP-PC Model

Analysing the IS-MP-PC Model University College Dublin, Advanced Macroeconomics Notes, 2015 (Karl Whelan) Page 1 Analysing the IS-MP-PC Model In the previous set of notes, we introduced the IS-MP-PC model. We will move on now to examining

More information

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited Comparing Allocations under Asymmetric Information: Coase Theorem Revisited Shingo Ishiguro Graduate School of Economics, Osaka University 1-7 Machikaneyama, Toyonaka, Osaka 560-0043, Japan August 2002

More information

Part A: Answer Question A1 (required) and Question A2 or A3 (choice).

Part A: Answer Question A1 (required) and Question A2 or A3 (choice). Ph.D. Core Exam -- Macroeconomics 10 January 2018 -- 8:00 am to 3:00 pm Part A: Answer Question A1 (required) and Question A2 or A3 (choice). A1 (required): Cutting Taxes Under the 2017 US Tax Cut and

More information

not to be republished NCERT Chapter 2 Consumer Behaviour 2.1 THE CONSUMER S BUDGET

not to be republished NCERT Chapter 2 Consumer Behaviour 2.1 THE CONSUMER S BUDGET Chapter 2 Theory y of Consumer Behaviour In this chapter, we will study the behaviour of an individual consumer in a market for final goods. The consumer has to decide on how much of each of the different

More information

Learning by Doing in a Model of Allocative Inefficiency

Learning by Doing in a Model of Allocative Inefficiency Learning by Doing in a Model of Allocative Inefficiency Ravi Radhakrishnan Department Of Economics Washington and Lee University & Virginia Tech. November 3, 2011 Abstract This paper develops a model of

More information

Inflation. David Andolfatto

Inflation. David Andolfatto Inflation David Andolfatto Introduction We continue to assume an economy with a single asset Assume that the government can manage the supply of over time; i.e., = 1,where 0 is the gross rate of money

More information

Working Paper: Cost of Regulatory Error when Establishing a Price Cap

Working Paper: Cost of Regulatory Error when Establishing a Price Cap Working Paper: Cost of Regulatory Error when Establishing a Price Cap January 2016-1 - Europe Economics is registered in England No. 3477100. Registered offices at Chancery House, 53-64 Chancery Lane,

More information

Price manipulation in models of the order book

Price manipulation in models of the order book Price manipulation in models of the order book Jim Gatheral (including joint work with Alex Schied) RIO 29, Búzios, Brasil Disclaimer The opinions expressed in this presentation are those of the author

More information

SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT. BF360 Operations Research

SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT. BF360 Operations Research SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT BF360 Operations Research Unit 3 Moses Mwale e-mail: moses.mwale@ictar.ac.zm BF360 Operations Research Contents Unit 3: Sensitivity and Duality 3 3.1 Sensitivity

More information

Lastrapes Fall y t = ỹ + a 1 (p t p t ) y t = d 0 + d 1 (m t p t ).

Lastrapes Fall y t = ỹ + a 1 (p t p t ) y t = d 0 + d 1 (m t p t ). ECON 8040 Final exam Lastrapes Fall 2007 Answer all eight questions on this exam. 1. Write out a static model of the macroeconomy that is capable of predicting that money is non-neutral. Your model should

More information

The Ramsey Model. Lectures 11 to 14. Topics in Macroeconomics. November 10, 11, 24 & 25, 2008

The Ramsey Model. Lectures 11 to 14. Topics in Macroeconomics. November 10, 11, 24 & 25, 2008 The Ramsey Model Lectures 11 to 14 Topics in Macroeconomics November 10, 11, 24 & 25, 2008 Lecture 11, 12, 13 & 14 1/50 Topics in Macroeconomics The Ramsey Model: Introduction 2 Main Ingredients Neoclassical

More information

LECTURE 12. Volatility is the question on the B/S which assumes constant SD throughout the exercise period - The time series of implied volatility

LECTURE 12. Volatility is the question on the B/S which assumes constant SD throughout the exercise period - The time series of implied volatility LECTURE 12 Review Options C = S e -δt N (d1) X e it N (d2) P = X e it (1- N (d2)) S e -δt (1 - N (d1)) Volatility is the question on the B/S which assumes constant SD throughout the exercise period - The

More information

The Bloomberg CDS Model

The Bloomberg CDS Model 1 The Bloomberg CDS Model Bjorn Flesaker Madhu Nayakkankuppam Igor Shkurko May 1, 2009 1 Introduction The Bloomberg CDS model values single name and index credit default swaps as a function of their schedule,

More information

MFE8825 Quantitative Management of Bond Portfolios

MFE8825 Quantitative Management of Bond Portfolios MFE8825 Quantitative Management of Bond Portfolios William C. H. Leon Nanyang Business School March 18, 2018 1 / 150 William C. H. Leon MFE8825 Quantitative Management of Bond Portfolios 1 Overview 2 /

More information

Solution Week 60 (11/3/03) Cereal box prizes

Solution Week 60 (11/3/03) Cereal box prizes Solution Wee 60 /3/03 Cereal box prizes First Solution: Assume that you have collected c of the colors, and let B c be the number of boxes it taes to get the next color. The average value of B c, which

More information

I. The Solow model. Dynamic Macroeconomic Analysis. Universidad Autónoma de Madrid. September 2015

I. The Solow model. Dynamic Macroeconomic Analysis. Universidad Autónoma de Madrid. September 2015 I. The Solow model Dynamic Macroeconomic Analysis Universidad Autónoma de Madrid September 2015 Dynamic Macroeconomic Analysis (UAM) I. The Solow model September 2015 1 / 43 Objectives In this first lecture

More information

We consider three zero-coupon bonds (strips) with the following features: Bond Maturity (years) Price Bond Bond Bond

We consider three zero-coupon bonds (strips) with the following features: Bond Maturity (years) Price Bond Bond Bond 15 3 CHAPTER 3 Problems Exercise 3.1 We consider three zero-coupon bonds (strips) with the following features: Each strip delivers $100 at maturity. Bond Maturity (years) Price Bond 1 1 96.43 Bond 2 2

More information

Capital Allocation Between The Risky And The Risk- Free Asset

Capital Allocation Between The Risky And The Risk- Free Asset Capital Allocation Between The Risky And The Risk- Free Asset Chapter 7 Investment Decisions capital allocation decision = choice of proportion to be invested in risk-free versus risky assets asset allocation

More information

13.3 A Stochastic Production Planning Model

13.3 A Stochastic Production Planning Model 13.3. A Stochastic Production Planning Model 347 From (13.9), we can formally write (dx t ) = f (dt) + G (dz t ) + fgdz t dt, (13.3) dx t dt = f(dt) + Gdz t dt. (13.33) The exact meaning of these expressions

More information

Intro to Economic analysis

Intro to Economic analysis Intro to Economic analysis Alberto Bisin - NYU 1 The Consumer Problem Consider an agent choosing her consumption of goods 1 and 2 for a given budget. This is the workhorse of microeconomic theory. (Notice

More information

B8.3 Week 2 summary 2018

B8.3 Week 2 summary 2018 S p VT u = f(su ) S T = S u V t =? S t S t e r(t t) 1 p VT d = f(sd ) S T = S d t T time Figure 1: Underlying asset price in a one-step binomial model B8.3 Week 2 summary 2018 The simplesodel for a random

More information

In a moment, we will look at a simple example involving the function f(x) = 100 x

In a moment, we will look at a simple example involving the function f(x) = 100 x Rates of Change Calculus is the study of the way that functions change. There are two types of rates of change: 1. Average rate of change. Instantaneous rate of change In a moment, we will look at a simple

More information

1 A tax on capital income in a neoclassical growth model

1 A tax on capital income in a neoclassical growth model 1 A tax on capital income in a neoclassical growth model We look at a standard neoclassical growth model. The representative consumer maximizes U = β t u(c t ) (1) t=0 where c t is consumption in period

More information

Iteration. The Cake Eating Problem. Discount Factors

Iteration. The Cake Eating Problem. Discount Factors 18 Value Function Iteration Lab Objective: Many questions have optimal answers that change over time. Sequential decision making problems are among this classification. In this lab you we learn how to

More information

Problem set Fall 2012.

Problem set Fall 2012. Problem set 1. 14.461 Fall 2012. Ivan Werning September 13, 2012 References: 1. Ljungqvist L., and Thomas J. Sargent (2000), Recursive Macroeconomic Theory, sections 17.2 for Problem 1,2. 2. Werning Ivan

More information

δ j 1 (S j S j 1 ) (2.3) j=1

δ j 1 (S j S j 1 ) (2.3) j=1 Chapter The Binomial Model Let S be some tradable asset with prices and let S k = St k ), k = 0, 1,,....1) H = HS 0, S 1,..., S N 1, S N ).) be some option payoff with start date t 0 and end date or maturity

More information

Luca Taschini. 6th Bachelier World Congress Toronto, June 25, 2010

Luca Taschini. 6th Bachelier World Congress Toronto, June 25, 2010 6th Bachelier World Congress Toronto, June 25, 2010 1 / 21 Theory of externalities: Problems & solutions Problem: The problem of air pollution (so-called negative externalities) and the associated market

More information

Product Di erentiation: Exercises Part 1

Product Di erentiation: Exercises Part 1 Product Di erentiation: Exercises Part Sotiris Georganas Royal Holloway University of London January 00 Problem Consider Hotelling s linear city with endogenous prices and exogenous and locations. Suppose,

More information

How good are Portfolio Insurance Strategies?

How good are Portfolio Insurance Strategies? How good are Portfolio Insurance Strategies? S. Balder and A. Mahayni Department of Accounting and Finance, Mercator School of Management, University of Duisburg Essen September 2009, München S. Balder

More information

EconS 301 Intermediate Microeconomics Review Session #4

EconS 301 Intermediate Microeconomics Review Session #4 EconS 301 Intermediate Microeconomics Review Session #4 1. Suppose a person's utility for leisure (L) and consumption () can be expressed as U L and this person has no non-labor income. a) Assuming a wage

More information

Equations. Krista Hauri I2T2 Project

Equations. Krista Hauri I2T2 Project Applied Linear Equations Krista Hauri I2T2 Project Grade Level: 9 th Intergraded Algebra 1 Time Span : 5 (40 minute) days Tools: Calculator Base Ranger (CBR) at least 4 TI-84 Graphing Calculator for each

More information

On Quality Bias and Inflation Targets: Supplementary Material

On Quality Bias and Inflation Targets: Supplementary Material On Quality Bias and Inflation Targets: Supplementary Material Stephanie Schmitt-Grohé Martín Uribe August 2 211 This document contains supplementary material to Schmitt-Grohé and Uribe (211). 1 A Two Sector

More information

Impact of Imperfect Information on the Optimal Exercise Strategy for Warrants

Impact of Imperfect Information on the Optimal Exercise Strategy for Warrants Impact of Imperfect Information on the Optimal Exercise Strategy for Warrants April 2008 Abstract In this paper, we determine the optimal exercise strategy for corporate warrants if investors suffer from

More information

Use Scantron 882E to transfer the answers. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Use Scantron 882E to transfer the answers. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. HW Date: Name Use Scantron 88E to transfer the answers. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. The graph shows sales in thousands of dollars

More information

Chapter 4. Determination of Income and Employment 4.1 AGGREGATE DEMAND AND ITS COMPONENTS

Chapter 4. Determination of Income and Employment 4.1 AGGREGATE DEMAND AND ITS COMPONENTS Determination of Income and Employment Chapter 4 We have so far talked about the national income, price level, rate of interest etc. in an ad hoc manner without investigating the forces that govern their

More information

Congestion Control for Best Effort

Congestion Control for Best Effort 1 Congestion Control for Best Effort Prof. Jean-Yves Le Boudec Prof. Andrzej Duda Prof. Patrick Thiran ICA, EPFL CH-1015 Ecublens Andrzej.Duda@imag.fr http://icawww.epfl.ch Contents 2 Congestion control

More information

MATH SPEAK - TO BE UNDERSTOOD AND MEMORIZED

MATH SPEAK - TO BE UNDERSTOOD AND MEMORIZED FOM 11 T6 RATES AS GRAPHS 1 MATH SPEAK - TO BE UNDERSTOOD AND MEMORIZED 1) GRAPH a visual representation of a relationship between two different quantities. 2) SLOPE m a measure of the steepness of a graph

More information

1. Consider the aggregate production functions for Wisconsin and Minnesota: Production Function for Wisconsin

1. Consider the aggregate production functions for Wisconsin and Minnesota: Production Function for Wisconsin Economics 102 Fall 2017 Answers to Homework #4 Due 11/14/2017 Directions: The homework will be collected in a box before the lecture Please place your name, TA name and section number on top of the homework

More information

2 f. f t S 2. Delta measures the sensitivityof the portfolio value to changes in the price of the underlying

2 f. f t S 2. Delta measures the sensitivityof the portfolio value to changes in the price of the underlying Sensitivity analysis Simulating the Greeks Meet the Greeks he value of a derivative on a single underlying asset depends upon the current asset price S and its volatility Σ, the risk-free interest rate

More information

Y t )+υ t. +φ ( Y t. Y t ) Y t. α ( r t. + ρ +θ π ( π t. + ρ

Y t )+υ t. +φ ( Y t. Y t ) Y t. α ( r t. + ρ +θ π ( π t. + ρ Macroeconomics ECON 2204 Prof. Murphy Problem Set 6 Answers Chapter 15 #1, 3, 4, 6, 7, 8, and 9 (on pages 462-63) 1. The five equations that make up the dynamic aggregate demand aggregate supply model

More information

Dividend Strategies for Insurance risk models

Dividend Strategies for Insurance risk models 1 Introduction Based on different objectives, various insurance risk models with adaptive polices have been proposed, such as dividend model, tax model, model with credibility premium, and so on. In this

More information

Modelling Anti-Terrorist Surveillance Systems from a Queueing Perspective

Modelling Anti-Terrorist Surveillance Systems from a Queueing Perspective Systems from a Queueing Perspective September 7, 2012 Problem A surveillance resource must observe several areas, searching for potential adversaries. Problem A surveillance resource must observe several

More information

Microeconomic Theory May 2013 Applied Economics. Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY. Applied Economics Graduate Program.

Microeconomic Theory May 2013 Applied Economics. Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY. Applied Economics Graduate Program. Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY Applied Economics Graduate Program May 2013 *********************************************** COVER SHEET ***********************************************

More information

Capacity Expansion Games with Application to Competition in Power May 19, Generation 2017 Investmen 1 / 24

Capacity Expansion Games with Application to Competition in Power May 19, Generation 2017 Investmen 1 / 24 Capacity Expansion Games with Application to Competition in Power Generation Investments joint with René Aïd and Mike Ludkovski CFMAR 10th Anniversary Conference May 19, 017 Capacity Expansion Games with

More information

Problems and Solutions

Problems and Solutions 1 CHAPTER 1 Problems 1.1 Problems on Bonds Exercise 1.1 On 12/04/01, consider a fixed-coupon bond whose features are the following: face value: $1,000 coupon rate: 8% coupon frequency: semiannual maturity:

More information

Dynamic Models Of Labor Demand

Dynamic Models Of Labor Demand Dynamic Models Of Labor Demand Handbook of Labor Economics, Chapter 9, S.J.Nickell Marianna Červená National Bank of Slovakia and FMFI UK November 30, 2009 Marianna Červená (NBS) Dynamic Models Of Labor

More information

Lecture 17 Option pricing in the one-period binomial model.

Lecture 17 Option pricing in the one-period binomial model. Lecture: 17 Course: M339D/M389D - Intro to Financial Math Page: 1 of 9 University of Texas at Austin Lecture 17 Option pricing in the one-period binomial model. 17.1. Introduction. Recall the one-period

More information

Linear Modeling Business 5 Supply and Demand

Linear Modeling Business 5 Supply and Demand Linear Modeling Business 5 Supply and Demand Supply and demand is a fundamental concept in business. Demand looks at the Quantity (Q) of a product that will be sold with respect to the Price (P) the product

More information

Equilibrium with Production and Endogenous Labor Supply

Equilibrium with Production and Endogenous Labor Supply Equilibrium with Production and Endogenous Labor Supply ECON 30020: Intermediate Macroeconomics Prof. Eric Sims University of Notre Dame Spring 2018 1 / 21 Readings GLS Chapter 11 2 / 21 Production and

More information

Dynamic Pricing with Varying Cost

Dynamic Pricing with Varying Cost Dynamic Pricing with Varying Cost L. Jeff Hong College of Business City University of Hong Kong Joint work with Ying Zhong and Guangwu Liu Outline 1 Introduction 2 Problem Formulation 3 Pricing Policy

More information

1 Economical Applications

1 Economical Applications WEEK 4 Reading [SB], 3.6, pp. 58-69 1 Economical Applications 1.1 Production Function A production function y f(q) assigns to amount q of input the corresponding output y. Usually f is - increasing, that

More information

Fixed-Income Options

Fixed-Income Options Fixed-Income Options Consider a two-year 99 European call on the three-year, 5% Treasury. Assume the Treasury pays annual interest. From p. 852 the three-year Treasury s price minus the $5 interest could

More information

= quantity of ith good bought and consumed. It

= quantity of ith good bought and consumed. It Chapter Consumer Choice and Demand The last chapter set up just one-half of the fundamental structure we need to determine consumer behavior. We must now add to this the consumer's budget constraint, which

More information

E-322 Muhammad Rahman CHAPTER-6

E-322 Muhammad Rahman CHAPTER-6 CHAPTER-6 A. OBJECTIVE OF THIS CHAPTER In this chapter we will do the following: Look at some stylized facts about economic growth in the World. Look at two Macroeconomic models of exogenous economic growth

More information

Group-Sequential Tests for Two Proportions

Group-Sequential Tests for Two Proportions Chapter 220 Group-Sequential Tests for Two Proportions Introduction Clinical trials are longitudinal. They accumulate data sequentially through time. The participants cannot be enrolled and randomized

More information

Net Benefits Test For Demand Response Compensation Update

Net Benefits Test For Demand Response Compensation Update Net Benefits Test For Demand Response Compensation Update June 21, 2013 1. Introduction This update reflects the application of the same methodology as originally described (on page 5) to data covering

More information

Midterm #1 EconS 527 Wednesday, September 28th, 2016 ANSWER KEY

Midterm #1 EconS 527 Wednesday, September 28th, 2016 ANSWER KEY Midterm #1 EconS 527 Wednesday, September 28th, 2016 ANSWER KEY Instructions. Show all your work clearly and make sure you justify all your answers. 1. Question #1 [10 Points]. Discuss and provide examples

More information

Part III. Cycles and Growth:

Part III. Cycles and Growth: Part III. Cycles and Growth: UMSL Max Gillman Max Gillman () AS-AD 1 / 56 AS-AD, Relative Prices & Business Cycles Facts: Nominal Prices are Not Real Prices Price of goods in nominal terms: eg. Consumer

More information

d. Find a competitive equilibrium for this economy. Is the allocation Pareto efficient? Are there any other competitive equilibrium allocations?

d. Find a competitive equilibrium for this economy. Is the allocation Pareto efficient? Are there any other competitive equilibrium allocations? Answers to Microeconomics Prelim of August 7, 0. Consider an individual faced with two job choices: she can either accept a position with a fixed annual salary of x > 0 which requires L x units of labor

More information

Chapter 8 A Short Run Keynesian Model of Interdependent Economies

Chapter 8 A Short Run Keynesian Model of Interdependent Economies George Alogoskoufis, International Macroeconomics, 2016 Chapter 8 A Short Run Keynesian Model of Interdependent Economies Our analysis up to now was related to small open economies, which took developments

More information

DRAFT. 1 exercise in state (S, t), π(s, t) = 0 do not exercise in state (S, t) Review of the Risk Neutral Stock Dynamics

DRAFT. 1 exercise in state (S, t), π(s, t) = 0 do not exercise in state (S, t) Review of the Risk Neutral Stock Dynamics Chapter 12 American Put Option Recall that the American option has strike K and maturity T and gives the holder the right to exercise at any time in [0, T ]. The American option is not straightforward

More information

Growth Growth Accounting The Solow Model Golden Rule. Growth. Joydeep Bhattacharya. Iowa State. February 16, Growth

Growth Growth Accounting The Solow Model Golden Rule. Growth. Joydeep Bhattacharya. Iowa State. February 16, Growth Accounting The Solow Model Golden Rule February 16, 2009 Accounting The Solow Model Golden Rule Motivation Goal: to understand factors that a ect long-term performance of an economy. long-term! usually

More information

Econ 101A Final exam May 14, 2013.

Econ 101A Final exam May 14, 2013. Econ 101A Final exam May 14, 2013. Do not turn the page until instructed to. Do not forget to write Problems 1 in the first Blue Book and Problems 2, 3 and 4 in the second Blue Book. 1 Econ 101A Final

More information

Quantitative Risk Management

Quantitative Risk Management Quantitative Risk Management Asset Allocation and Risk Management Martin B. Haugh Department of Industrial Engineering and Operations Research Columbia University Outline Review of Mean-Variance Analysis

More information

Economic optimization in Model Predictive Control

Economic optimization in Model Predictive Control Economic optimization in Model Predictive Control Rishi Amrit Department of Chemical and Biological Engineering University of Wisconsin-Madison 29 th February, 2008 Rishi Amrit (UW-Madison) Economic Optimization

More information

Survey of Math Chapter 21: Savings Models Handout Page 1

Survey of Math Chapter 21: Savings Models Handout Page 1 Chapter 21: Savings Models Handout Page 1 Growth of Savings: Simple Interest Simple interest pays interest only on the principal, not on any interest which has accumulated. Simple interest is rarely used

More information

Exercises in Growth Theory and Empirics

Exercises in Growth Theory and Empirics Exercises in Growth Theory and Empirics Carl-Johan Dalgaard University of Copenhagen and EPRU May 22, 2003 Exercise 6: Productive government investments and exogenous growth Consider the following growth

More information

Lecture 7: Optimal management of renewable resources

Lecture 7: Optimal management of renewable resources Lecture 7: Optimal management of renewable resources Florian K. Diekert (f.k.diekert@ibv.uio.no) Overview This lecture note gives a short introduction to the optimal management of renewable resource economics.

More information

1 The EOQ and Extensions

1 The EOQ and Extensions IEOR4000: Production Management Lecture 2 Professor Guillermo Gallego September 16, 2003 Lecture Plan 1. The EOQ and Extensions 2. Multi-Item EOQ Model 1 The EOQ and Extensions We have explored some of

More information

FINAL EXAM. Name Student ID 1. C 2. B 3. D 4. B 5. B 6. A 7. A 8. D 9. C 10. B 11. C 12. B 13. A 14. B 15. C

FINAL EXAM. Name Student ID 1. C 2. B 3. D 4. B 5. B 6. A 7. A 8. D 9. C 10. B 11. C 12. B 13. A 14. B 15. C FINAL EXAM Name Student ID Instructions: The exam consists of three parts: (1) 15 multiple choice questions; (2) three problems; and (3) two graphical questions. Please answer all questions in the space

More information

Lecture 6 Search and matching theory

Lecture 6 Search and matching theory Lecture 6 Search and matching theory Leszek Wincenciak, Ph.D. University of Warsaw 2/48 Lecture outline: Introduction Search and matching theory Search and matching theory The dynamics of unemployment

More information

The Impact of Basel Accords on the Lender's Profitability under Different Pricing Decisions

The Impact of Basel Accords on the Lender's Profitability under Different Pricing Decisions The Impact of Basel Accords on the Lender's Profitability under Different Pricing Decisions Bo Huang and Lyn C. Thomas School of Management, University of Southampton, Highfield, Southampton, UK, SO17

More information

General Examination in Macroeconomic Theory. Fall 2010

General Examination in Macroeconomic Theory. Fall 2010 HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examination in Macroeconomic Theory Fall 2010 ----------------------------------------------------------------------------------------------------------------

More information