• Complain

Roger B. Myerson - Probability Models for Economic Decisions (The MIT Press)

Here you can read online Roger B. Myerson - Probability Models for Economic Decisions (The MIT Press) full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2019, publisher: The MIT Press, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover
  • Book:
    Probability Models for Economic Decisions (The MIT Press)
  • Author:
  • Publisher:
    The MIT Press
  • Genre:
  • Year:
    2019
  • Rating:
    5 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 100
    • 1
    • 2
    • 3
    • 4
    • 5

Probability Models for Economic Decisions (The MIT Press): summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Probability Models for Economic Decisions (The MIT Press)" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty.

This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets.

The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk.

New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel.

Roger B. Myerson: author's other books


Who wrote Probability Models for Economic Decisions (The MIT Press)? Find out the surname, the name of the author of the book and a list of all author's works by series.

Probability Models for Economic Decisions (The MIT Press) — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Probability Models for Economic Decisions (The MIT Press)" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make

2019 Massachusetts Institute of Technology

All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

This book was set in Times New Roman by Westchester Publishing Services, Danbury, CT. Printed and bound in the United States of America.

Library of Congress Cataloging-in-Publication Data

Names: Myerson, Roger B., author. | Zambrano, Eduardo, 1969- author.

Title: Probability models for economic decisions / Roger B. Myerson and Eduardo Zambrano.

Description: Second edition. | Cambridge, MA : MIT Press, [2019] | Includes bibliographical references and index.

Identifiers: LCCN 2019005615 | ISBN 9780262043120 (hardcover : alk. paper)

Subjects: LCSH: Decision making--Mathematical models. | Economics, Mathematical. | Probabilities. | Statistical decision.

Classification: LCC HD30.23 .M94 2019 | DDC 330.01/5195--dc23

LC record available at https://lccn.loc.gov/2019005615

d_r0

To the memory of my parents, who continued learning about the world and working to improve it throughout their long years together. And to Gina, my partner in everything.

R. M.

To my parents, Celia and Cstor, for their unending love, guidance, and support.

To Katie and Shinzen, for their tireless quest for a paint-by-numbers path to peace.

E. Z.

Contents
  1. 4.3Lognormal Distributions
  2. 8.6Fundamental Ideas of Arbitrage Pricing Theory

List of Figures

Simulation of coin tossing in a spreadsheet

Coin tossing with adjustable probabilities

Simple model of independent sales calls

Model of 20 sales calls with uncertainty about salespersons skill

Simulation table for model of 20 sales calls

Simulation data and analysis

Data table of results for different numbers of sales

Frequencies of sales in simulation data (total and by skill level)

Sales model with skill level from a Triangular distribution

Simulation model of oil-exploration example

Probability tree for oil-exploration example

Alternative tree and model for oil-exploration example

Binomial probability computations for salesperson example

Computing frequencies of different outcomes in oil-exploration example

Five stages of the modeling process

Discrete probability distribution for the number of entrants (K)

Inverse cumulative-probability curve for number of entrants (K)

Simulation with a discrete probability distribution (four equivalent formulas)

Making a simple simulation model of competitors and profit

Expected values and standard deviations of discrete random variables

Estimating an expected value and standard deviation from simulation data

Estimate of an inverse cumulative distribution from simulation data

A spreadsheet for studying the properties of a sample mean

Analysis of the Superior Semiconductor case

Cumulative risk profile from simulation data

A simulation model with three random variables affecting profit

Utility function with constant risk tolerance for Superior Semiconductor (part B)

Analysis of Superior Semiconductor (part B) with constant risk tolerance

Estimating local risk tolerances with constant or linear risk tolerance

A spreadsheet illustrating the derivation of utility theory

Derivation of exponential utility from constant risk tolerance

The Normal distribution

Compound interest and growth rate calculations with EXP and LN

The multiplication and addition properties of EXP and LN

Repeated investment strategies yielding payoffs that are approximately Normal or Lognormal

Repeated investment strategies over the short, medium, and long term

Annualized returns by investment horizon

Total returns by investment horizon

Subjectively assessed quartiles and a Generalized Lognormal distribution

Simulation analysis of the Superior Semiconductor (part C) case

Certainty equivalent of a Normal lottery

Comparison of Lognormal, Gamma, and Normal distributions

Joint probability distribution of two random variables

Correlation of two discrete random variables and portfolio analysis

Price data and annual growth ratios in the 1980s for six mutual funds

Computing the correlation of Funds 1 and 2

Making a model of the annual growth ratios of six funds

Extending historical data by simulation

Simulations with independent funds

Portfolio calculations for investments in the six funds

A simple example where Solver can fail

Probabilistic electoral forecasting in one state

Probabilistic electoral forecasting in 50 states

Distribution of electoral votes

Ignoring the effects of uncertainty

Ignoring the effects of correlation in the forecasting errors across states

Computing conditional medians for subjective correlation assessment

Non-Normal random variables and normalized rank correlations

Making Multivariate Normal random variables

Conditional expected skills, given sales results, from a Beta prior

Prior and posterior inverse cumulative distributions for salespersons skill

Conditional probability and conditional expectation in a discrete example

Backwards analysis of conditional expectations in a tree diagram

An example of dependence among random variables with correlation 0

Modeling uncertainty about a probability

Estimating a linear regression relationship among random variables

A simulation with 100 trials of Probability Models for Economic Decisions The MIT Press - image 1

Visual display of our estimates of the relationship between two random variables

Minimizing squared errors of linear estimates in regression analysis

Simulation analysis of one production quantity in the Scotia case

Simulation analysis of four alternative production quantities in the Scotia case

A spreadsheet for finding the optimum among all possible production quantities for Scotia

Strategic value of information about weather in the Scotia case

Conditional expected profits, given weather, for Scotias optimal strategies

Tree diagram for Scotias decision without forecast information

Tree diagram for Scotias decision with forecast information

Optimal overbooking in a revenue management problem

Revenues, profits, and unused capacity

Model of bidding to sell in the Bates case, part A (no winners curse)

Finding optimal bids for the Bates case, part A (no winners curse)

Bidding to buy a lemon

Bidding model for the Bates case, part B (with winners curse)

Inverse cumulative distribution for the opposing bid-to-beat in Bates (part B)

Finding optimal bids for the Bates case, part B (with winners curse)

Alphas bidding for Valdez, when others bid 80% of their estimated values

Alphas bidding for Valdez, when others bid 60% of their estimated values

Game model of bidding for Valdez

Sharing a Normal gamble

Optimal risk sharing among three partners with constant risk tolerance

A spreadsheet to evaluate nonlinear sharing rules

Optimal risk sharing in a discrete example

Optimal risk sharing with moral hazard in a discrete example

Optimal linear incentive plan for an agent with moral hazard

Optimal piecewise-linear incentive plan for an agent with moral hazard

Comparing investments that differ in correlation with the market portfolio

Computing an assets value in a market with constant risk-tolerant investors

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Probability Models for Economic Decisions (The MIT Press)»

Look at similar books to Probability Models for Economic Decisions (The MIT Press). We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Probability Models for Economic Decisions (The MIT Press)»

Discussion, reviews of the book Probability Models for Economic Decisions (The MIT Press) and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.