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Copyright 1996    Lawrence C. Marsh


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Copyright 1996    Lawrence C. Marsh

 Cointegration 

y

t  


=  

β

1



 

β



x

t   



ε

t



If  

x

t



  and  

y



 are nonstationary I(1) 

we might expect that  

ε

t

  is also I(1).



 However, if  

x

t



  and  

y



 are nonstationary I(1) 

 but  


ε

t

  is  stationary I(0),  then 



x

t

  and  



y

 are



 said to be 

cointegrated

16.34



Copyright 1996    Lawrence C. Marsh

 Cointegrated VAR(1) Model 

y

t  


θ

0



 

θ



1

y

t-1 



φ

1



x

t-1 


+ e

x



t  

δ



0

 



δ

1

y



t-1 

α



1

x

t-1 



+ u

VAR(1) model:



If  

x

t



 and 

y



 are both  I(1) and are cointegrated,

use an 


Error Correction Model

, instead of VAR(1).

16.35


74

Copyright 1996    Lawrence C. Marsh

 Error Correction Model 

y

t  



θ

0



 

+ (


θ

1

-1)y



t-1 

φ



1

x

t-1 



+ e



x

t  


δ

0



 

δ



1

y

t-1 



+ (

α

1



-1)x

t-1 


+ u



y

t  


=  y

t  


- y

t-1    


and    

x



t  

=  x


t  

- x


t-1 

(continued)

16.36

Copyright 1996    Lawrence C. Marsh

 Error Correction Model 

y

t  



θ

0



 

γ



1

(y

t-1 



-

 

β



1

 



β

x



t-1

)

 



+ e



*

x

t  



δ

0



 

γ



2

(y

t-1 



-

 

β



1

 



β

x



t-1

)

 



+ u



*

θ

0

 



θ

0



 + 

γ

1



β

1

*

δ

0

 



δ

0



 + 

γ

2



β

1

*

γ

2

 



δ

1



γ

1

 



=

φ



δ

1

α



1

 - 


1

β

2



 

=

δ



1

1

 



α

1



16.37

Copyright 1996    Lawrence C. Marsh

y

t-1  



=  

β

1



 

β



x

t-1   



ε

t-1



Estimate by least squares: 

to get the residuals:

 

ε

t-1



   =    

y

t-1  



-  

β

1



 

β



x

t-1 



^

^

^



 Estimating an Error Correction Model 

Step 1:


16.38

Copyright 1996    Lawrence C. Marsh

Estimate by least squares:

 Estimating an Error Correction Model 

Step 2:


y

t  



θ

0



 

γ



1

 

ε



t-1

 

 



+ e



*

x

t  



δ

0



 

γ



2

 

ε



t-1 

 

+ u





*

^

^



16.39

Copyright 1996    Lawrence C. Marsh

Using cointegrated I(1) variables in a

VAR model expressed solely in terms

of first differences and lags of first

differences is a 

misspecification

.

The correct specification is to use an



Error Correction Model

16.40


Copyright 1996    Lawrence C. Marsh

Chapter 17

Copyright © 1997 John Wiley & Sons, Inc.  All rights reserved.  Reproduction or translation of this work beyond 

that permitted in Section 117 of the 1976 United States Copyright Act without the express written permission of the 

copyright owner is unlawful.  Request for further information should be addressed to the Permissions Department, 

John Wiley & Sons, Inc.  The purchaser may make back-up copies for his/her own use only and not for distribution

 or resale.  The Publisher assumes no responsibility for errors, omissions, or damages, caused by the use of these 

programs or from the use of the information contained herein.

Guidelines for

Research Project

17.1


75

Copyright 1996    Lawrence C. Marsh

ð

ð



ð

ð

Formulation



 

       economic ====> econometric.

Estimation

        selecting appropriate method.

Interpretation

        how the x

t

’s impact on the y



.

Inference



        testing, intervals, prediction.

What Book Has Covered

17.2

Copyright 1996    Lawrence C. Marsh

Topics for This Chapter

1.  Types of Data by Source

2.  Nonexperimental Data

3.  Text Data vs. Electronic Data

4.  Selecting a Topic

5.  Writing an Abstract

6.  Research Report Format

17.3

Copyright 1996    Lawrence C. Marsh

Types of Data by Source

i)    

Experimental Data

 from controlled experiments.

ii)   

Observational Data

passively generated by society.

iii)  

Survey Data

data collected through interviews.

17.4

Copyright 1996    Lawrence C. Marsh

Time vs. Cross-Section



Time Series Data

data collected at distinct points in time

(e.g. weekly sales, daily stock price, annual 

       budget deficit, monthly unemployment.)



Cross Section Data

data collected over samples of units, individuals,    

households, firms at a particular point in time. 

(e.g. salary, race, gender, unemployment by state.)

17.5

Copyright 1996    Lawrence C. Marsh

Micro  vs. Macro



Micro Data:

data collected on individual  economic

decision making units such as individuals,

households or firms.



Macro Data:

data resulting from a pooling  or aggregating

over individuals, households or firms at the

local, state or national levels.

17.6

Copyright 1996    Lawrence C. Marsh

                  

                  

Flow  vs.  Stock



Flow Data:

outcome measured over a period of time,

such as the consumption of gasoline during

the last quarter of 1997.



Stock Data:

outcome measured at a particular point in

time, such as crude oil held by Chevron in

US storage tanks on April 1, 1997.

17.7


76

Copyright 1996    Lawrence C. Marsh

 

  



Quantitative vs. Qualitative

Quantitative Data:

outcomes such as prices or income that may

be expressed as numbers or some transfor-

mation of them (e.g. wages, trade deficit).



Qualitative Data:

outcomes that are of an “either-or” nature

(e.g. male, home owner, Methodist, bought           

    car last year, voted in last election).

17.8

Copyright 1996    Lawrence C. Marsh

International Data



International Financial Statistics (IMF monthly).

Basic Statistics of the Community (OECD annual).

Consumer Price Indices in the European 

        Community (OECD annual).

World Statistics (UN annual).

Yearbook of National Accounts Statistics (UN).

FAO Trade Yearbook (annual).

17.9


Copyright 1996    Lawrence C. Marsh

United States Data



Survey of Current Business (BEA monthly).

Handbook of Basic Economic Statistics (BES).

Monthly Labor Review (BLS monthly).

Federal Researve Bulletin (FRB monthly).

Statistical Abstract of the US (BC annual).

Economic Report of the President (CEA annual).

Economic Indicators (CEA monthly).

Agricultural Statistics (USDA annual).

Agricultural Situation Reports (USDA monthly).

17.10


Copyright 1996    Lawrence C. Marsh

State and Local Data



State and Metropolitan Area Data Book    

(Commerce and BC, annual).



CPI Detailed Report (BLS, annual).

Census of Population and Housing 

(Commerce, BC, annual).



County and City Data Book 

(Commerce, BC, annual).

17.11

Copyright 1996    Lawrence C. Marsh

Citibase on CD-ROM

• Financial series: interest rates, stock market, etc.

• Business formation, investment and consumers.

• Construction of housing.

• Manufacturing, business cycles, foreign trade.

• Prices: producer and consumer price indexes.

• Industrial production.

• Capacity and productivity.

• Population.

17.12

Copyright 1996    Lawrence C. Marsh

Citibase on CD-ROM

(continued)

• Labor statistics: unemployment, households.

• National income and product accounts in detail.

• Forecasts and projections.

• Business cycle indicators.

• Energy consumption, petroleum production, etc.

• International data series including trade     

statistics.

17.13


77

Copyright 1996    Lawrence C. Marsh

Resources for Economists



Resources for Economists by Bill Goffe

http://econwpa.wustl.edu/EconFAQ/EconFAQ.html

 Bill Goffe provides a vast database of information

 about the economics profession including economic 

 organizations, working papers and reports, 

 and economic data series.

17.14


Copyright 1996    Lawrence C. Marsh

Internet Data Sources

• Shortcut to All Resources.

• Macro and Regional Data.

• Other U.S. Data.

• World and Non-U.S. Data.

• Finance and Financial Markets.

• Data Archives.

• Journal Data and Program Archives.

A few of the items on Bill Goffe’s Table of Contents:

17.15

Copyright 1996    Lawrence C. Marsh

Useful Internet Addresses

http://seamonkey.ed.asu.edu/~behrens/teach/

WWW


_data.html

http://www.sims.berkeley.edu/~hal/pages/interesting.html

http://www.stls.frb.org     

FED RESERVE BK - ST. LOUIS

http://www.bls.gov    

BUREAU OF LABOR STATISTICS

http://nber.harvard.edu     

NAT’L BUR. ECON. RESEARCH

http://www.inform.umd.edu:8080/EdRes/Topic/EconData/

.www/econdata.html      

UNIVERSITY OF MARYLAND

http://www.bog.frb.fed.us    

FEB BOARD OF GOVERNORS

http://www.webcom.com/~yardeni/economic.html

17.16

Copyright 1996    Lawrence C. Marsh

Data from Surveys

i)   

identify the population of interest.



ii)  

designing and selecting the sample.

iii)  

collecting the information.



iv)  

data reduction, estimation and inference.

The survey process has four distinct aspects:

17.17


Copyright 1996    Lawrence C. Marsh

Controlled  Experiments

1. Labor force participation: negative income tax :

guaranteed minimum income experiment.

2. National cash housing allowance experiment:

impact on demand and supply of housing.

3. Health insurance: medical cost reduction:

    sensitivity of income groups to price change.

4. Peak-load pricing and electricity use:

daily use pattern of residential customers.



Controlled experiments were done on these topics:

17.18


Copyright 1996    Lawrence C. Marsh

Economic Data Problems

I.  poor implicit experimental design

    (i)   collinear explanatory variables.

 (ii)  measurement errors.

II. inconsistent with theory specification

 (i)   wrong level of aggregation. 

 (ii)  missing observations or variables.

 (iii) unobserved heterogeneity.

17.19


78

Copyright 1996    Lawrence C. Marsh

Selecting a Topic

• “What am I interested in?”

•  Well-defined, relatively simple topic.

•  Ask prof for ideas and references.

•  Journal of Economic Literature (ECONLIT)

•  Make sure appropriate data are available.

•  Avoid extremely difficult econometrics.

•  Plan your work and work your plan.

General tips for selecting a research topic:

ð

ð

ð



ð

ð

ð



ð

17.20


Copyright 1996    Lawrence C. Marsh

Writing an Abstract

(i)  concise statement of the problem.

(ii) key references to available information.

(iii) description of research design including:

(a)  economic model

(b)  statistical model

(c)  data sources

(d)  estimation, testing and prediction

(iv) contribution of the work

Abstract of less than 500 words should include:

17.21


Copyright 1996    Lawrence C. Marsh

Research Report Format

  1.  Statement of the Problem.

  2.  Review of the Literature.

  3.  The Economic Model.

  4.  The Statistical Model.

  5.  The Data.

  6.  Estimation and Inferences Procedures.

  7.  Empirical Results and Conclusions.

  8.  Possible Extensions and Limitations.

  9.  Acknowledgments.

10.  References.



17.22

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