THE MATRIX
My research topics and methods are pretty diverse.  These matrices show the links between them.  Blank cells mean "no" or "none."
Matrix 1: Topics, Citations, & Approach
				Cites outside		Brand New
Papers				Micro (excluding	Relates to Law	Topic (T) or	Mainstream
(in order of competion)		Role of Theory	Cites to Labor	statistics)	& Economics	Application (A)	or Crazy
Alcoa		S		M, Me	Y		M
Voting I		S		P			M
Union Wages		D	Y	M			M
Race / Cesarean			Y	H		A	M
Implicit Contracts		D	Y	M			M
Information & Sorting		T		M, H	Y	T	A,T,P
Bicycle Helmets				H	Y	A	M
Malpractice / Cesarean		D		M, H	Y		M
Source of Payment			Y	H			M
Grades as Information		D	Y	S		T	T
Physician Discipline		D		H	Y		M
Union Voting		S	Y	P			A
Zero Tolerance		T	Y	H	Y		M
Multiproduct Pricing		D		M			A
Optimal Penalty Structure		S		H	Y	T	A,P
Good Economy		T		M		T	M
forthcoming		D=discursive		M=macro			M=mainstream
working paper		T=new theoretical development		P=political science			T=crazy topic
		S=utilize structural equation		H=health (clinical or policy)			A=crazy approach to topic
		that I derived from theory		S=sociology			P=prospective,
				Me=metals industry			not retrospective *
* prospective means deliberately designing a method that can be used to assess policy before implementing it
Matrix 2: Empirical Methods and Findings
					Fix Others'
Papers			Data	Type of	Mistakes or	2-D	Non-standard
(in order of competion)		Size of Effect	Type	Estimation	Misinterpretation	Testing *	Estimation
Alcoa		S	TS	S	Y	Y	nonlinear
Voting I		S	CS	S			nonlinear
Union Wages		S	P	D	Y		method of moments
Race / Cesarean		S	P	D
Implicit Contracts		S	P	H		Y	method of moments
Information & Sorting		S	CS	H
Bicycle Helmets		L	P	D
Malpractice / Cesarean		S	P	D	Y
Source of Payment		S	P	D	Y
Grades as Information		S	CS	H			don't know its name
Physician Discipline		L	P	none
Union Voting		N	CS	S	Y		semiparametric
Zero Tolerance		N	P	H	Y	Y	quantile regression
Multiproduct Pricing		L	P	H		Y	principal components
Optimal Penalty Structure		N/A	CS	none
Good Economy		N/A	TS	D
		S=small (~5%)	TS=time series	D=descriptive (linear specification just for simplicity)
		L=large	CS=cross section	S=structural (explicitly derived from theory)
		N=none	P=panel	H=heuristic (simplifcation of more elaborate theory)
		N/A=not applicable
* 2-D testing means testing implications on two completely different dependent variables or the equivalent
There are a few patterns.  First, my citations tend to be hybrid--many key themes run across fields.  Second, I am increasingly
moving toward non-standard topics or methodological approaches, and less bound by tradition.  Third, most of my research is
ultimately rooted, or strongly influenced by, the labor and law & economics literatures, and generally relies on panel data.