These files include data and estimation code for:

Boehmke, Frederick J. 2009. “Policy Emulation or Policy Convergence? Potential Ambiguities 
	in the Dyadic Event History Approach to State Policy Emulation.” The Journal of 
	Politics 71 (3): 1125-1140.

Compiled on June 09, 2010 by Frederick J. Boehmke (frederick-boehmke@uiowa.edu).
Updated on December 14, 2011 by Frederick J. Boehmke (frederick-boehmke@uiowa.edu),
	to include Monte Carlo results and code.


INCLUDED:

  2 Microsoft Excel data sets:

   boehmke2009jop.csv 				Listing of state pain management legislation 
						and state variables (monadic data). 
   montecarlo/
     boehmke2009jop-montecarlo-table01.csv	Summary of Monte Carlo results for Table 1.

  91 Stata data sets:

   boehmke2009jop.dta 				Dyadic data set of policy emulations by year. 
   montecarlo/
     boehmke2009jop-montecarlo.dta 		Combined Monte Carlo results for all data.
     boehmke2009jop-montecarlo-collapsed.dta 	Summary Monte Carlo results for all data.
   montecarlo/real/
     montecarlo-dyadsXX.dta			Monte Carlo results for real state data.
     montecarlo-dyads01.dta			An example data set from the Monte Carlo.
     statedata1975-2002.dta			Real state data used for simulation.
   montecarlo/simulated/
     montecarlo-dyadsXX-sims.dta		Combined Monte Carlo results for simulated data.
     statecodes.dta				Listing of various state identifiers to use for merges.
   montecarlo/simulated/data/
     montecarlo-dyadsXX-sims-Y.dta		Monte Carlo results for simulated data by correlation.
     
  30 Stata do files:

   boehmke2009jop-mkdata.do 			Creates the Stata data set described above.
   boehmke2009jop-analyze.do 			Runs the models reported in Table 2 in the paper.
   nbrs-code-dyad.do				Creates indicator for state contiguity.

   montecarlo/
     boehmke2009jop-montecarlo.do 		Combines and analyzes the Monte Carlo results.
   montecarlo/real/
     montecarlo-dyadsXX.do 			Runs the Monte Carlo on the real world data one model at a time.
     batch-dyads.do 				Runs all of the immediately above files in sequence.
   montecarlo/simulated/
     montecarlo-dyadsXX.do 			Runs the Monte Carlo on thehypothetical data one model at a time.
     batch-dyads.do 				Runs all of the immediately above files in sequence.

  1 README file:

   boehmke2009jop-README.txt			Describes the included data and files.

  1 pdf file:

   boehmke2009jop.pdf				A preprint copy of the article.


NOTES ON MONTE CARLO ANLAYSIS:

1. To run the Monte Carlo, descend into the folders montecarlo/real/ and montecarlo/simulated/.
	There are 12 main MC files in each folder, one for each of the 12 different models
	run (only 7 are reported in the paper). This controls whether the model is dyadic
	or monadic, conditional or unconditional, and which variables are included. For
	the simulated data, each file repeats the simulation for multiple values of the
	correlation. Descriptions of the model are in the header of each file. Each folder 
	has a file batch-dyads.do, that will run all 12 of the simulations in order.
	
2. Once the Monte Carlo has been run, or to recombine the results of the existing data, 
	go into the folder montecarlo/. The file boehmke2009jop-montecarlo.do combines
	all the results into one data set for comparison. It also collapses the data
	by simulation to create summary statistics and to generate Figure 1 and Table 1.
		

NOTES ON REPLICATION DATA:

1. The included data set, boehmke2009jop.csv, includes data on state pain management
	policy and characteristics of state medical boards obtained from Sarah Imhof. 
	It also includes data on state political and demographic variables compiled
	by the author from public sources. 

2. Variable manipulations are performed in boehmke2009jop-mkdata.do, which creates
   	the data set boehmke2009jop.dta used for the analysis. You do not need to run 
	this file since the data sets are already supplied. See Note 4 below if you do 
	plan to run this file.

3. The tables and models are estimated by boehmke2009jop-analyze.do.

4. Note that you will need to keep nbrs-code-dyads.ado in the same directory as 
	boehmke2009jop-analyze.do if you recreate the data since the latter uses this 
	program to create the indicator for whether the two states in a dyad are 
	continguous.

5. The programs are written for Stata version 9 or above, though they may run
   	in previous versions.


VARIABLES:

Here are descriptions for all the variables used in the analysis. See the paper
for additional details. Some variables created in the mkdata file but not used
in the analysis are included, but not described here. Most of these are measured 
for state 01 and state 02 at the dyadic level as well as the difference between the
two values. 

emul_net		Did state 01 emulate state 02? 
emul_opp_net		Did state 01 have the opportunity to emulate state 02? 
mblegal 		Medical Board Legal Counsel
mbautho 		Medical Board Authority
mbnonmd			Medical Board Non-MD Members
ideology 		Ideology (EWM)
rpcpinc 		Personal Income (Real - 2002)
nbr_lag_sum 		Number of components adopted by state 02
nbrs_lag_any 		Number of contiguous states that have adopted any component
prov_tot_02 		Number of components adopted by state 02.
fsmbgde 		Indicator for post-1998 for the release of the Federation of State 
			Medical Boards (FSMB) model guidelines for state PMP in July, 1998.
time  			Time since 1989






