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Working Paper
The Local Fiscal Multiplier of Intergovernmental Grants: Evidence from Federal Medicaid Assistance to States
Advocates of Medicaid expansion argue that federal Medicaid assistance to states fosters economic activity, generating positive local multiplier effects. Furthermore, during economic downturns, Congress regularly tweaks federal match rates for state Medicaid spending – including during the COVID-19 public health emergency – in order to assist states. Despite heavy reliance on Medicaid funding formulas, identifying the economic effect of these federal transfers has proved challenging. This is because federal Medicaid assistance (to states) is endogenous, since funding levels are correlated ...
Working Paper
A Local Projections Approach to Difference-in-Differences Event Studies
Many of the challenges in the estimation of dynamic heterogeneous treatment effects can be resolved with local projection (LP) estimators of the sort used in applied macroeconometrics. This approach provides a convenient alternative to the more complicated solutions proposed in the recent literature on Difference in-Differences (DiD). The key is to combine LPs with a flexible ‘clean control’ condition to define appropriate sets of treated and control units. Our proposed LP-DiD estimator is clear, simple, easy and fast to compute, and it is transparent and flexible in its handling of ...
Working Paper
Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors
This paper extends the Common Correlated Effects (CCE) approach developed by Pesaran (2006) to heterogeneous panel data models with lagged dependent variable and/or weakly exogenous regressors. We show that the CCE mean group estimator continues to be valid but the following two conditions must be satisfied to deal with the dynamics: a sufficient number of lags of cross section averages must be included in individual equations of the panel, and the number of cross section averages must be at least as large as the number of unobserved common factors. We establish consistency rates, derive the ...
Working Paper
Risk-Shifting, Regulation, and Government Assistance
This paper examines an episode when policy response to a financial crisis effectively incentivized financial institutions to reallocate their portfolios toward safe assets. Following a shift to a regime of enhanced regulation and scaled-down public assistance during the savings and loan crisis in 1989, I find that thrifts with a high probability of failure increased their composition of safe assets relative to thrifts with a low probability of failure. The findings also show a shift to safe assets among stock thrifts relative to mutual thrifts, thereby providing evidence of risk-shifting from ...
Working Paper
Collaboration in Bipartite Networks, with an Application to Coauthorship Networks
This paper studies the impact of collaboration on research output. First, we build a micro founded model for scientific knowledge production, where collaboration between researchers is represented by a bipartite network. The equilibrium of the game incorporates both the complementarity effect between collaborating researchers and the substitutability effect between concurrent projects of the same researcher. Next, we develop a Bayesian MCMC procedure to estimate the structural parameters, taking into account the endogenous matching of researchers and projects. Finally, we illustrate the ...
Working Paper
House Price Growth Interdependencies and Comovement
This paper examines house price diffusion across metropolitan areas in the United States. We develop a generalization of the Hamilton and Owyang (2012) Markov-switching model, where we incorporate direct regional spillovers using a spatial weighting matrix. The Markov-switching framework allows consideration for house price movements that occur due to similar timing of downturns across MSAs. The inclusion of the spatial weighting matrix improves fit compared to a standard endogenous clustering model. We find seven clusters of MSAs that experience idiosyncratic recessions plus one distinct ...
Working Paper
Even one is too much: the economic consequences of being a smoker
It is well known that smoking leads to lower wages. However, the mechanism of this negative relationship is not well understood. This analysis includes a decomposition of the wage gap between smokers and nonsmokers, with a variety of definitions of smoking status designed to reflect differences in smoking intensity. This paper finds that nearly two-thirds of the 24 percent selectivity-corrected smoking/nonsmoking wage differential derives from differences in characteristics between smokers and nonsmokers. These results suggest that it is not differences in productivity that drive the smoking ...
Working Paper
Does Medicaid Generosity Affect Household Income?
Almost all recent literature on Medicaid and labor supply has used Affordable Care Act (ACA)-induced Medicaid eligibility expansions in various states as natural experiments. Estimated effects on employment and earnings differ widely due to differences in the scope of eligibility expansion across states and are potentially subject to biases due to policy endogeneity. Using a Regression Kink Design (RKD) framework, this paper takes a uniquely different approach to the identification of the effect of Medicaid generosity on household income. Both state-level data and March CPS data from ...
Working Paper
Evidence on the Production of Cognitive Achievement from Moving to Opportunity
This paper performs a subgroup analysis on the effect of receiving a Moving to Opportunity (MTO) housing voucher on test scores. I find evidence of heterogeneity by number of children in the household in Boston, gender in Chicago, and race/ethnicity in Los Angeles. To study the mechanisms driving voucher effect heterogeneity, I develop a generalized Rubin Causal Model and propose an estimator to identify transition-specific Local Average Treatment Effects (LATEs) of school and neighborhood quality. Although I cannot identify such LATEs with the MTO data, the analysis demonstrates that ...
Working Paper
A distinction between causal effects in structural and rubin causal models
Structural Causal Models define causal effects in terms of a single Data Generating Process (DGP), and the Rubin Causal Model defines causal effects in terms of a model that can represent counterfactuals from many DGPs. Under these different definitions, notationally similar causal effects make distinct claims about the results of interventions to the system under investigation: Structural equations imply conditional independencies in the data that potential outcomes do not. One implication is that the DAG of a Rubin Causal Model is different from the DAG of a Structural Causal Model. Another ...