This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of the transformed likelihood approach, whilst at the same time allows for observed factors (fixed or ran...

Analysis of the spatiotemporal pattern burned areas over time is necessary to understand how fire behavior in Himalayan region has altered as a result complex climatic variables. The differenced Normalized Burnt Ratio (NBR) calculated utilizing cloud-based platform Google Earth Engine (GEE) quantify extent regions. spatial distribution burnt last 21 years been examined and correlated with edaph...

Properties of GMM estimators for panel data, which have become very popular in the empirical economic growth literature, are not well known when the number of individuals is small. This paper analyses through Monte Carlo simulations the properties of various GMM and other estimators when the number of individuals is the one typically available in country growth studies. It is found that, provid...

Many researchers have addressed concerns of omitted variable bias in hedonic price models through the use of spatial fixed effects. We argue that this approach does not consider the biases introduced by effects that overlap the zone of capitalization for the non-market good. We show this bias can dominate the usual omitted variable bias using data on developer-provided open space. We control fo...

We describe four recently developed panel data estimators for unbalanced and nested data, a common problem for economic and experimental data. We estimate a western corn rootworm damage function with each estimator, including separate parameters for random effects from year, location, and experimental errors. We then use each estimator to assess the cost of the western corn rootworm soybean var...

The fixed effects estimator of panel models can be severely biased because of the well-known incidental parameter problems. It is shown that such bias can be reduced as T grows with n. We consider asymptotics where n and T grow at the same rate as an approximation that allows us to compare bias properties. Under these asymptotics the bias corrected estimators are centered at the truth, whereas ...

Body mass index (BMI), weight(kg)/ height(m)2, is a widely used measure of obesity in medical science. In economics, there appeared studies showing that BMI has a negative (or no) effect on wage. But BMI is a tightly specified function of weight and height, and there is no a priori reason to believe why this particular function is the best to combine weight and height. In this paper, we address...