Simultaneity, Causality, Cointegration and Unit-Roots - Problem Set 3 | ECON 508, Assignments of Introduction to Econometrics

Material Type: Assignment; Professor: Koenker; Class: Applied Econometrics; Subject: Economics; University: University of Illinois - Urbana-Champaign; Term: Fall 2005;

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University of Illinois Department of Economics
Fall 2005 Econ 508 Roger Koenker
Problem Set 3
Simultaneity, Causality, Cointegration, and Unit-Roots
This problem set combines two topics, the first part of the problem set is based on
the celebrated paper by Thurman and Fisher (1988) which resolved the longstanding
scientific dispute over ā€œwhich came first: the chicken or the egg?ā€ The second part
deals with classical simultaneous equation models.
As a prelude to doing the problem set please use either the R or Stata versions
of the Granger-Newbold simulation code to generate 100 realizations and record the
proportion of them that give a significant t-statistic at the conventional 5 percent
level.
The data for the first part of the problem set was kindly provided by Thurman,
consists of annual time series 1930-1983 for U.S. egg production in millions of dozens
and the December 1 USDA estimate of the US chicken population, (excluding broil-
ers). Unfortunately, as provided, the data seems to be slightly different than that
analyzed by Thurman and Fisher. As a result your results based on the problem
set data can be expected to vary somewhat from those reported in the Thurman
and Fisher paper. The data is provided on the class web page as eggs.txt. Also
provided are two Rfunctions granger() and adf() to help analyze the data. We
also provide a johansen() function as well.
1. Using granger() try to reproduce the results of Thurman and Fisher’s Table
1. Try to suggest some graphical technique that might help to explain the
nature of the rather striking results. Make sure that you take a close look at
the granger() function and understand how it works.
2. Test each series for I(1) behavior using the augmented Dickey-Fuller test. You
may use the adf() function for this purpose, but again look closely to see how
it works. Note that your results here may depend on the length of the lag you
specify in the ADF test. How do your results here influence your interpretation
of the findings in question 1?
3. Test for cointegration of the chicken-egg process, using both the Engle-Granger
and Johansen approaches. Contrast your results and reconsider findings in
question 1.
The second half of this problem set deals with two simple cobweb models of
supply and demand. Data for Questions 1-4 appears as system1 on the course
webpage. and data for Questions 5-6, appears as system2,
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University of Illinois Department of Economics Fall 2005 Econ 508 Roger Koenker

Problem Set 3 Simultaneity, Causality, Cointegration, and Unit-Roots

This problem set combines two topics, the first part of the problem set is based on the celebrated paper by Thurman and Fisher (1988) which resolved the longstanding scientific dispute over ā€œwhich came first: the chicken or the egg?ā€ The second part deals with classical simultaneous equation models. As a prelude to doing the problem set please use either the R or Stata versions of the Granger-Newbold simulation code to generate 100 realizations and record the proportion of them that give a significant t-statistic at the conventional 5 percent level. The data for the first part of the problem set was kindly provided by Thurman, consists of annual time series 1930-1983 for U.S. egg production in millions of dozens and the December 1 USDA estimate of the US chicken population, (excluding broil- ers). Unfortunately, as provided, the data seems to be slightly different than that analyzed by Thurman and Fisher. As a result your results based on the problem set data can be expected to vary somewhat from those reported in the Thurman and Fisher paper. The data is provided on the class web page as eggs.txt. Also provided are two R functions granger() and adf() to help analyze the data. We also provide a johansen() function as well.

  1. Using granger() try to reproduce the results of Thurman and Fisher’s Table
    1. Try to suggest some graphical technique that might help to explain the nature of the rather striking results. Make sure that you take a close look at the granger() function and understand how it works.
  2. Test each series for I(1) behavior using the augmented Dickey-Fuller test. You may use the adf() function for this purpose, but again look closely to see how it works. Note that your results here may depend on the length of the lag you specify in the ADF test. How do your results here influence your interpretation of the findings in question 1?
  3. Test for cointegration of the chicken-egg process, using both the Engle-Granger and Johansen approaches. Contrast your results and reconsider findings in question 1.

The second half of this problem set deals with two simple cobweb models of supply and demand. Data for Questions 1-4 appears as system1 on the course webpage. and data for Questions 5-6, appears as system2,

The model for the first part of the problem is:

(Supply) Qt = α 1 + α 2 ptāˆ’ 1 + α 3 zt + ut (Demand) pt = β 1 + β 2 Qt + β 3 wt + vt

Last periods price determines current period supply while current period demand determines the market clearing price. The variables zt and wt may be regarded as exogenous influences on supply and demand, respectively.

  1. Estimate the model and illustrate the dynamic behavior of the model by drawing a picture of the supply and demand functions for fixed values of the exogonous variables z and w, say at z = zT , w = wT. You may assume that ut and vt are independent so the model is recursive.
  2. Make a point forecast of the price variable for the next 3 periods assuming that the exogonous variables remain constant at their end of sample values. Sup- pose that they (the exogonous variables) remained fixed at these values indef- initely; on average, what value would p take in equilibrium?
  3. Now suppose that ut were autocorrelated. Explain briefly why ptāˆ’ 1 can no longer be considered exogonous in this case. Provide a test of autocorrelation,and devise a strategy for estimating the model, and reestimate.
  4. Now suppose that a disagreeable referee criticized your specification of the model arguing that z should be treated as endogonous, briefly describe how this would alter your approach to estimating the model. In particular, if possible, provide a test of the referee’s hypothesis.

Now consider the following simultaneous dynamic supply and demand model of the ā€œcobwebā€ form:

(Supply) Qt = α 1 + α 2 pt + α 3 ptāˆ’ 1 + α 4 zt + ut (Demand) pt = β 1 + β 2 Qt + β 3 wt + vt

The current period’s price influences current period supply while current period demand determines the market clearing price.

  1. Estimate the model by two stage least squares and compare your estimates with those obtained by ordinary least squares for this model. Interpret the differ- ences.
  2. Test the hypothesis that the long run supply response to a change in the price is unity: i.e., that α 2 + α 3 = 1, and the hypothesis that the first period and second period price effects are the same, i.e., α 2 = α 3.