In this paper, we study semiparametric estimation for a single-index panel data model where the nonlinear link function varies among the individuals. We propose using the so-called refined minimum average variance estimation based on a local linear smoothing method to estimate both the...

A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals. A semiparametric profile likelihood approach based on the first-stage local linear...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...

This paper assesses the real effects of the energy reform in Mexico by looking at its impact on manufacturing output through changes in energy prices. Using sub-sector and state-level manufacturing output data, along with past variation in energy prices, we find electricity prices - relative to...

The curse of dimensionality refers to the difficulty of including all relevant variables in empirical applications due to the lack of sufficient degrees of freedom. A common solution to alleviate the problem in the context of open economy models is to aggregate foreign variables by constructing...

We use a panel of 14 European countries to take a fresh look at the so-called Feldstein-Horioka puzzle on the high correlations between savings and investment observed within countries. A large literature has emerged to investigate this issue, using both individual country-by-country data and...

We use spatial panel data model analysis to study the international transmission of U.S. monetary policy shocks in the global equity and bond markets. Through this analysis, we decompose the overall effect of such a shock into 1) direct effects, 2) higher-order network effects transmitted...

This paper develops new techniques to bound distributional treatment effect parameters that depend on the joint distribution of potential outcomes -- an object not identified by standard identifying assumptions such as selection on observables or even when treatment is randomly assigned. I show...

I consider a panel vector-autoregressive model with cross-sectional dependence of the disturbances characterized by a spatial autoregressive process. I propose a three-step estimation procedure. Its first step is an instrumental variable estimation that ignores the spatial correlation. In the...

What are the drivers of growth and convergence in productivity at regional level? Differences in the stock of human capital across regions are hypothesized to be the major cause of differences in the speed by which following regions converge and catch-up with the most advanced ones. In addition,...