A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels
This paper contributes to the GMM literature by introducing the idea of self-instrumenting target variables instead of searching for instruments that are uncorrelated with the errors, in cases where the correlation between the target variables and the errors can be derived. The advantage of the proposed approach lies in the fact that, by construction, the instruments have maximum correlation with the target variables and the problem of weak instrument is thus avoided. The proposed approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In ...
The Age-Time-Cohort Problem and the Identification of Structural Parameters in Life-Cycle Models
A standard approach to estimating structural parameters in life-cycle models imposes sufficient assumptions on the data to identify the ?age profile" of outcomes, then chooses model parameters so that the model's age profile matches this empirical age profile. I show that this approach is both incorrect and unnecessary: incorrect, because it generally produces inconsistent estimators of the structural parameters, and unnecessary, because consistent estimators can be obtained under weaker assumptions. I derive an estimation method that avoids the problems of the standard approach. I ...
exuber: Recursive Right-Tailed Unit Root Testing with R
This paper introduces the R package exuber for testing and date-stamping periods of mildly explosive dynamics (exuberance) in time series. The package computes test statistics for the supremum ADF test (SADF) of Phillips, Wu and Yu (2011), the generalized SADF (GSADF) of Phillips, Shi and Yu (2015a,b), and the panel GSADF proposed by Pavlidis, Yusupova, Paya, Peel, Martínez-García, Mack and Grossman (2016); generates finite-sample critical values based on Monte Carlo and bootstrap methods; and implements the corresponding date-stamping procedures. The recursive least-squares algorithm that ...
How Data Breaches Affect Consumer Credit
We use the 2012 South Carolina Department of Revenue data breach as a natural experiment to study how data breaches and news coverage about them affect consumers? interactions with the credit market and their use of credit. We find that some consumers directly exposed to the breach protected themselves against potential losses from future fraudulent use of stolen information by monitoring their files and freezing access to their credit reports. However, these consumers continued their regular use of existing credit cards and did not switch lenders. The response of consumers exposed to the ...
Pre-event Trends in the Panel Event-study Design
We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to the policy variable of interest. We provide sufficient conditions to identify the causal effect of the policy by exploiting covariates related to the policy only through the confounds. Our model implies a set of moment equations that are linear in parameters. The effect of the policy can be estimated by 2SLS, and causal inference is valid even when endogeneity leads to pre-event trends (?pre-trends?) in the outcome. Alternative approaches perform poorly in our simulations
Incarceration, Earnings, and Race
Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators
This paper extends the mean group (MG) estimator for random coefficient panel data models by allowing the underlying individual estimators to be weakly cross-correlated. Weak cross-sectional dependence of the individual estimators can arise, for example, in panels with spatially correlated errors. We establish that the MG estimator is asymptotically correctly centered, and its asymptotic covariance matrix can be consistently estimated. The random coefficient specification allows for correct inference even when nothing is known about the weak cross-sectional dependence of the errors. This is ...
Do Sovereign Wealth Funds Dampen the Negative Effects of Commodity Price Volatility?
This paper studies the impact of commodity terms of trade (CToT) volatility on economic growth (and its sources) in a sample of 69 commodity-dependent countries, and assesses the role of Sovereign Wealth Funds (SWFs) and quality of institutions in their long-term growth performance. Using annual data over the period 1981-2014, we employ the Cross-Sectionally augmented Autoregressive Distributive Lag (CS-ARDL) methodology for estimation to account for cross-country heterogeneity, cross-sectional dependence, and feedback effects. We find that while CToT volatility exerts a negative impact on ...
Breaking down world trade elasticities: a panel ECM approach
This paper exhaustively analyses the recent decline of international trade elasticities to output growth. We extend an empirical model of import demand functions to account not only for transitory factors, such as relative prices and import intensity-adjusted measures of demand (I-O Tables), but also for habitually neglected permanent factors such as protectionism, vertical integration (i.e. Global Value Chains) and foreign direct investment (FDI). Dealing with a non-stationary heteregenous panel of 27 countries, we estimate a panel Error Correction Model from 1960 to 2015 in order to break ...
What Explains the Post–2011 Trends of Longer Maturities and Rising Default Rates on Auto Loans?
This paper quantifies relationships of long-term auto borrowing and auto-loan default to observable borrower characteristics and economic variables. We also quantify the residual components of the trends in long-term borrowing and delinquency not attributable to identifiable factors. Second, our paper provides new evidence on the relationship between longer-term borrowing and auto-loan default risk. We find that observable factors associated with the choice of a long loan term usually indicate an increased risk of default. We also find that the increasing share of long-term loans and the ...