I provide the nonparametric identification of nonlinear dynamic panel data models. I relax the assumption of covariate evolution in Shiu and Hu (2013) by the results of Hu and Shum (2012). The assumptions include first-order Markov assumptions and a restriction on the evolution of the covariate.

This article provides a procedure for the estimation of parametric homogeneous stochastic volatility (SV) pricing formulae based on option data. Our estimator has the advantage of being (i) based on option data, (ii) easy to implement in practice, (iii) with clear statistic properties and (iv)...

There have been numerous applications of partial observability bivariate probit models. These models identify determinants of individual discrete outcomes when all that is observed are collective outcomes and individual characteristics. Numerical difficulties with their likelihood functions are...

A simple example is provided that shows that one test can strictly dominate another test in both local power and its robustness to asymptotic size distortion under local model misspecification, with both tests having asymptotic size equal to nominal size under correct model specification....

In the linear instrumental variables model, we characterize fixed alternatives against which the test of overidentifying restrictions (OR) is inconsistent. When there is the notion of a “true parameter”, we relate this inconsistency result to the literature on optimality properties of...

We study the effects of economic shocks on civil conflict at the subnational level using a panel dataset of 5689 administrative regions from 53 African countries with yearly observations from 1992 to 2010. We find that economic shocks, measured by nighttime light intensity and instrumented by...

This paper seeks to shed light on possible changes in the government debt dynamics for the first 12 euro area countries. Structural breaks are present around the global financial crisis for most countries, but not for Germany and France, the two core countries in the euro area. The properties of...

Collective household models posit that each household member has access to a fraction of the household budget, called a resource share, which defines the shadow budget faced by a household member. Together with the within-household shadow price vector, the shadow budget determines the material...

Using GARCH models for density prediction of stock index returns, a comparison is provided between frequentist and Bayesian estimation. No significant difference is found between qualities of whole density forecasts, whereas the Bayesian approach exhibits significantly better left-tail forecast...

This paper provides a link between the structural approach of econometrics of auctions with the stochastic frontier literature in an effort to model excess bidding behaviour. The new technique is applied to timber auction data. The results suggest that both systematic overbidding and...