headshot photo

David M. Kaplan

Associate Professor, Economics

University of Missouri

kaplandm@missouri.edu

Office #227 Professional Bldg

ON LEAVE FALL 2019

Working Papers

Comparing latent inequality with ordinal health data

2019, submitted
(with Longhao Zhuo)

[paper] | [code] | [.bib]
Goal: compare two latent health distributions (better? more dispersed?) when only ordinal data are available, without unrealistic assumptions, with statistical inference.

Frequentist size of Bayesian inequality tests

2019, submitted
(with Longhao Zhuo)

[paper] | [2015 WP] | [code] | [.bib]
Goal: characterize Bayesian and frequentist differences on general inequality hypotheses, even when credible/confidence sets coincide.

Unbiased Estimation as a Public Good

2019

[paper] | [code] | [.bib]
An estimator's bias is relatively more important (compared to its variance) when contributing to the public body of scientific knowledge than for a single estimate.

Publications

distcomp: Comparing distributions

Accepted, Stata Journal

[accepted] | [.bib]
In Stata: issue command
net from http://faculty.missouri.edu/~kaplandm
and follow instructions for installation (and email me if you have problems)

Smoothed GMM for quantile models

Accepted, Journal of Econometrics
(with Luciano de Castro, Antonio Galvao, and Xin Liu)

[accepted] | [code] | [.bib]
Extends smoothed IVQR estimation (Kaplan and Sun, 2017) to non-iid data, nonlinear and over-identified models. Quantile Euler equation empirical example.

Comparing distributions by multiple testing across quantiles or CDF values

2018, Journal of Econometrics
(with Matt Goldman)

[published] | [accepted] | [supplement] | [2016 WP] | [code] | [replication] | [.bib]
Where do two distributions differ? A new method to strongly control FWER while distributing power more evenly than the KS. One-sample and two-sample; stepdown and pre-test refinements. Extension to conditional distributions and regression discontinuity.
In Stata: issue command
net from http://faculty.missouri.edu/~kaplandm
and follow instructions for installation (and email me if you have problems)
[Stata Journal draft]

Nonparametric inference on (conditional) quantile differences and linear combinations, using L-statistics

2018, Econometrics Journal
(with Matt Goldman)

[published] | [free/view-only] | [accepted] | [supplement] | [replication] | [code:unconditional] | [code:conditional] | [.bib] | [dissertation video]
Nonparametric, high-order accurate CIs for: quantile differences between two populations (which are QTEs under certain assumptions); interquantile ranges; more general linear combinations of quantiles (and differences thereof); and conditional (on X) versions of each.

Fractional order statistic approximation for nonparametric conditional quantile inference

2017, Journal of Econometrics
(with Matt Goldman)

[published] | [accepted] | [2016 WP] | [supplement] | [code:unconditional] | [code:conditional] | [simulations] | [more sims] | [examples] | [.bib] | [dissertation video]
Nonparametric CIs for quantiles and conditional quantiles, with high-order accuracy.

Smoothed estimating equations for instrumental variables quantile regression

2017, Econometric Theory
(with Yixiao Sun)

[published] | [accepted] | [Matlab:estimator] | [R:estimator] | [replication] | [.bib]
IV quantile regression: smoothing improves computation and high-order properties.
[Stata code in progress]

Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion

2015, Journal of Econometrics

[published] | [accepted] | [appendix 1] | [appendix 2] | [simulations] | [empirical] | [R code] | [R examples] | [MATLAB code] | [MATLAB examples] | [.bib]
Studentized sample quantile: fixed-smoothing asymptotics is more accurate and suggests an "inference-optimal" bandwidth to maximize accuracy; practical advantage biggest near tails.

A computational approach to style in American poetry

2007, International Conference on Data Mining (ICDM)
(with David Blei)

[IEEE page] | [paper] | [longer draft] | [slides] | [code/app] | [.bib]
Analyzing poetic texts: extracting orthographic, syntactic, and phonemic features. Visualizing and comparing poems in the corresponding vector space of features. ("One of the most thorough and sophisticated computing analysis of poems to date" rave Wang and Yang, 2015.)

Resting and Superseded Projects


2019, Optimal Smoothing in Divide-and-Conquer for Big Data
[paper] | [code] | [.bib]

2014, Nonparametric inference on quantile marginal effects
[paper] | [code] | [simulations] | [example] | [.bib]

2013, IDEAL inference on conditional quantiles: superseded by above papers "Fractional order statistic approximation for nonparametric conditional quantile inference" and "Nonparametric inference on conditional quantile treatment effects using L-statistics"

2013, IDEAL quantile inference via interpolated duals of exact analytic L-statistics: superseded by above papers "Fractional order statistic approximation for nonparametric conditional quantile inference" and "Nonparametric inference on conditional quantile treatment effects using L-statistics"

2011, Fixed-smoothing asymptotics and accurate F approximation using vector autoregressive variance matrix estimator (with Yixiao Sun)
[paper] | [.bib]
Experiencing technical difficulties (error in proofs).

For curious grad students:
projects from my 2nd year in grad school


2010, Natural disasters and differential household effects: evidence from the May 2006 Java earthquake
[paper] | [slides] | [.bib]
Were poorer households hurt more? Examining direct and indirect mechanisms.

2009, summer research report examining data-dependent methods for sieve size selection in nonparametric IV estimation.