EminentDomain {hdm}

Eminent Domain data set

Description

Dataset on judicial eminent domain decisions.

Format

y

economic outcome variable

x

set of exogenous variables

d

eminent domain decisions

z

set of potential instruments

Details

Data set was analyzed in Belloni et al. (2012). They estimate the effect of judicial eminent domain decisions on economic outcomes with instrumental variables (IV) in a setting high a large set of potential IVs. A detailed decription of the data can be found at https://www.econometricsociety.org/publications/econometrica/2012/11/01/sparse-models-and-methods-optimal-instruments-application The data set contains four "sub-data sets" which differ mainly in the dependent variables: repeat-sales FHFA/OFHEO house price index for metro (FHFA) and non-metro (NM) area, the Case-Shiller home price index (CS), and state-level GDP from the Bureau of Economic Analysis - all transformed with the logarithm. The structure of each subdata set is given above. In the data set the following variables and name conventions are used: "numpanelskx_..." is the number of panels with at least k members with the characteristic following the "_". The probability controls (names start with "F_prob_") follow a similar naming convention and give the probability of observing a panel with characteristic given following second "_" given the characteristics of the pool of judges available to be assigned to the case.

Characteristics in the data for the control variables or instruments:

noreligion

judge reports no religious affiliation

jd_public

judge's law degree is from a public university

dem

judge reports being a democrat

female

judge is female

nonwhite

judge is nonwhite (and not black)

black

judge is black

jewish

judge is Jewish

catholic

judge is Catholic

mainline

baseline religion

protestant

belongs to a protestant church

evangelical

belongs to an evangelical church

instate_ba

judge's undergraduate degree was obtained within state

ba_public

judge's undergraduate degree was obtained at a public university

elev

judge was elevated from a district court

year

year dummy (reference category is one year before the earliest year in the data set (excluded))

circuit

dummy for the circuit level (reference category excluded)

missing_cy_12

a dummy for whether there were no cases in that circuit-year

numcasecat_12

the number of takings appellate decisions

References

D. Belloni, D. Chen, V. Chernozhukov and C. Hansen (2012). Sparse models and methods for optimal instruments with an application to eminent domain. Econometrica 80 (6), 2369–2429.

Examples

data(EminentDomain)