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The economics and statistics literature using computer simulation based methods has grown enormously over the past decades. Maximum Simulated Likelihood is a statistical tool useful for incorporating individual differences (called heterogeneity in the econometrics literature) and variations into a statistical analysis. Problems that can be intractable with traditional methods are solved using computer simulation integrated with classical methods. Instead of assuming that everyone responds to stimuli in the same way, allowances are made for the possibility that different decision makers will respond in different ways. The techniques can be applied to problems of individual choice, such as the choice of a transportation model, or choice among health care options, as well as to the problem of making financial and macroeconomic predictions. Contributors to the volume discuss alternative simulation methods that permit faster and more accurate inference, as well as applications of established methods.

Volume 36 of Advances in econometrics recognizes Aman Ullah's significant contributions in many areas of econometrics and celebrates his long productive career. The volume features original papers on the theory and practice of econometrics that is related to the work of Aman Ullah. Topics include nonparametric/semiparametric econometrics; finite sample econometrics; shrinkage methods; information/entropy econometrics; model specification testing; robust inference; panel/spatial models.Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research.

An empirical test is provided of two alternative hypotheses on federal grants legislation: the "public interest" hypothesis, & the Niskanen budget maximization hypothesis. A logit specification is used to model the selection process employed by the US Dept of Housing & Ur Development (HUD) in allocating Ur Development Section Grants. None of the "distress" factors that the legislation specifies as primary selection criteria are significant, but two factors that reflect the market potential of the projects are. The strength of these & the weakness of the distress factors suggest that HUD bureaucrats attempt to avoid risky projects & select financially successful ones. The evidence supports a bureaucratic budget maximizing rather than a "public interest" strategy. 1 Table, 5 References. Modified AA.

This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.

Introduction / Badi H. Baltagi, Thomas B. Fomby, R. Carter Hill -- Testing for common cyclical features in nonstationary panel data models / Alain Hecq, Franz C. Palm, Jean-Pierre Urbain -- The local power of some unit root tests for panel data / J(c)·org Breitung -- On the estimation and inference of a cointegrated regression in panel data / Chihwa Kao, Min-Hsien Chiang -- Testing for unit roots in panels in the presence of structural change with an application to OECD unemployment / Christian J. Murray, David H. Papell -- Panel data limit theory and asymptotic analysis of a panel regression with near integrated regressors / Heikki Kauppi -- Stationarity tests in heterogeneous panels / Yong Yin, Shaowen Wu -- Instrumental variable estimation of semiparametric dynamic panel data models : Monte Carlo results on several new and existing estimators / M. Douglas Berg, Qi Li, Aman Ullah -- Small sample performance of dynamic panel data estimators in estimating the growth-convergence equation : a Monte Carlo study / Nazrul Islam -- Estimation in dynamic panel data models : improving on the performance of the standard GMM estimator / Richard Blundell, Stephen Bond, Frank Windmeijer -- Nonstationary panels, cointegration in panels and dynamic panels : a survey / Badi H. Baltagi, Chihwa Kao -- Fully modified OLS for heterogeneous cointegrated panels / Peter Pedroni. - This volume is dedicated to two recent intensive areas of research in the econometrics of panel data, namely nonstationary panels and dynamic panels. It includes a comprehensive survey of the nonstationary panel literature including panel unit root tests, spurious panel regressions and panel cointegration tests. In addition, it provides recent developments in the estimation of dynamic panel data models using generalized method of moments. The volume includes eleven chapters written by twenty authors. These chapters: investigate better methods of estimating dynamic panels; develop methods for estimating and testing hypotheses for cointegrating vectors in dynamic panels; extend the concept of serial correlation common features analysis to nonstationary panel data models; study the local power of panel unit root test statistics; derive the asymptotic distributions of various estimators for the panel cointegrated regression model; propose a unit root test in the presence of structural change; develop a new limit theory for panel data that may be cross-sectionally heterogeneous; propose stationarity tests for a heterogeneous panel data model; derive instrumental variable estimators for a semiparametric partially linear dynamic panel data model; and conduct Monte Carlo experiments to study the small sample properties of a growth convergence equation. This collection of papers should prove useful for practitioners and researchers working with panel data

This book is intended for a two-semester, graduate-level course and is paced to admit more extensive treatment of areas of specific interest to the instructor and students. It is assumed that the reader of the book will have had an econometric methods course. In the final section of each chapter we have provided a guide to further readings that briefly lists and describes useful related works in the area. The exercises provided with each chapter are a blend of proofs and results that replace or extend many of those in the text. Applications are included in the exercises as well. We believe strongly that students must grapple with applied econometric techniques. Of course, this means the development of an appropriate dexterity with computers and relevant software as a requirement for serious students in econometrics

Clarke and Strauss (1998), among others, have determined that the magnitude of financial transfers to unwed mothers is positively related to out‐of‐wedlock fertility rates. Increases in fertility rates must be accompanied by increases in unprotected sex, and unprotected sex allows for the spread of sexually transmitted diseases. We hypothesize that states with relatively greater welfare payments under the old Aid to Families with Dependant Children (AFDC) program are associated with higher rates of heterosexually contracted human immunodeficiency virus (HIV). Using data for 26 reporting states from 1993 to 1996, our weighted instrumental variables estimates with clustered standard errors are consistent with our hypothesis. (JEL D1, I38)