This paper aims at i) providing effect estimates of a wide range of covariates and traditional policy means to increase the smoking cessation rate, ii) offering evidence on alternative interventions for health authorities, and iii) examining and comparing three groups of smokers with varying...

In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...

The apprenticeship system is the most important source of formal post-secondary training in Germany. Our paper contributes to the ongoing debate as to why firms are willing to invest in such training even though many apprentices will leave the training firm soon after completion of the...

Exchange rate volatility is said to exemplify the economic health of a country. Exchange rate break points (known as structural breaks) have a momentous impact on the macroeconomy of a country. Nonetheless, this country study makes use of both unsupervised and supervised machine learning...

2015 first using an auto-regressive distributed lag (ARDL) model and then allowing for asymmetric adjustment by adapting NARDL panel estimation techniques. After finding evidence of asymmetry at the party level, the NARDL results uncover two new stylized facts for ENP at the national party...

This paper proposes an original method for assessing costs of medical treatment. It defines states in a semi-Markov model associated with specific costs of the treatment, and not with patients' health statuses. Costs assigning to these "costs states" is more straightforward; moreover, it allows...

Mortgage loss-given-default (LGD) increased significantly when house prices plummeted and delinquencies rose during the financial crisis, but it has remained over 40 percent in recent years despite a strong housing recovery. Our results indicate that the sustained high LGDs post-crisis are due...

We consider the problem of assessing the effects of a treatment on duration outcomes using data from a randomized evaluation with noncompliance. For such settings, we derive nonparametric sharp bounds for average and quantile treatment effects addressing three pervasive problems simultaneously:...

This paper studies identification and inference in transformation models with endogenous censoring. Many kinds of duration models, such as the accelerated failure time model, proportional hazard model, and mixed proportional hazard model, can be viewed as transformation models. I allow the...