Updated SMM chapter

Author: rickecon

docs/book/CompMethods_references.bib

@@ -1,107 +1,8 @@
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-}
-
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-}
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+@BOOK{AddaCooper:2003,
+  AUTHOR = {J\'{e}r\^{o}me Adda and Russell Cooper},
+  TITLE = {Dynamic Economics: Quantitative Methods and Applications},
+  PUBLISHER = {MIT Press},
+  YEAR = {2003},
 }
 
 @TECHREPORT{BYUACME_PythonIntro,
@@ -113,26 +14,22 @@ @TECHREPORT{BYUACME_PythonIntro
   url = {https://acme.byu.edu/00000181-448a-d778-a18f-dfcae22f0001/intro-to-python},
 }
 
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+@BOOK{DavidsonMacKinnon:2004,
+  AUTHOR = {Russell Davidson and James G. MacKinnon},
+  TITLE = {Econometric Theory and Methods},
+  PUBLISHER = {Oxford University Press},
+  YEAR = {2004},
 }
 
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+  journal = {Econometrica},
+  volume = {61},
+  number = {4},
+  pages = {929-952},
+  month = {July}
 }
 
 @ARTICLE{EilersMarx:1996,
@@ -168,38 +65,6 @@ @ARTICLE{Eilers:2005
   pages = {317-328},
 }
 
-@ARTICLE{EvansPhillips:2014,
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 @ARTICLE{GitWiki2020,
   AUTHOR = {{Wikipedia Contributors}},
   TITLE = {"{G}it"},
@@ -218,104 +83,24 @@ @ARTICLE{GitIDE2020
   url = {https://en.wikipedia.org/wiki/Integrated_development_environment},
 }
 
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-}
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+}
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 }

docs/book/_toc.yml

@@ -30,6 +30,7 @@ parts:
   - caption: Structural Estimation
     chapters:
     - file: struct_est/intro
+    - file: struct_est/MaxLikelihood
     - file: struct_est/GMM
     - file: struct_est/SMM
   - caption: Appendix

docs/book/struct_est/MaxLikelihood.md

@@ -0,0 +1,10 @@
+(Chap_MaxLikeli)=
+# Maximum Likelihood Estimation
+
+Put maximum likelihood estimation chapter here.
+
+
+(SecMaxLikeliFootnotes)=
+## Footnotes
+
+<!-- [^citation_note]: See {cite}`AuerbachEtAl:1981,AuerbachEtAl:1983`, {cite}`AuerbachKotlikoff:1983a,AuerbachKotlikoff:1983b,AuerbachKotlikoff:1983c`, and {cite}`AuerbachKotlikoff:1985`. -->

docs/book/struct_est/SMM.md

@@ -1,7 +1,14 @@
 (Chap_SMM)=
 # Simulated Method of Moments
 
-Put SMM chapter here.
+This chapter describes the simulated method of moments (SMM) estimation method. All data and images from this chapter can be found in the data directory ([]./data/smm/](https://github.com/OpenSourceEcon/CompMethods/tree/main/data/smm/)) and images directory ([]./images/smm/](https://github.com/OpenSourceEcon/CompMethods/tree/main/images/smm/)) for the GitHub repository for this book.
+
+
+## The SMM estimator
+
+Simulated method of moments (SMM) is analogous to the generalized method of moments (GMM) estimator. SMM could really be thought of as a particular type of GMM estimator. The SMM estimator chooses model parameters $\theta$ to make simulated model moments match data moments. Seminal papers developing SMM are {cite}`McFadden:1989`, {cite}`LeeIngram:1991`, and {cite}`DuffieSingleton:1993`. Good textbook treatments of SMM are found in {cite}`AddaCooper:2003`, (pp. 87-100) and {cite}`DavidsonMacKinnon:2004`, (pp. 383-394).
+
+In the {ref}`Chap_MaxLikeli` chapter, we used data $x$ and model parameters $\theta$ to maximize the likelihood of drawing that data $x$ from the model given parameters $\theta$.
 
 
 (SecSMMFootnotes)=