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Essays in Honor of Subal Kumbhakar
It is the editor’s distinct privilege to gather this collection of papers that honors Subhal Kumbhakar’s many accomplishments, drawing further attention to the various areas of scholarship that he has touched.
Econometric Theory and Practice
The essays in this book explore important theoretical and applied advances in econometrics.
The Effects of Economic Shocks on Heterogeneous Inflation Expectations
In this paper, we examine how economic shocks affect the distribution of household inflation expectations. We show that the dynamics of households' expected inflation distributions are driven by three distinctive functional shocks, which influence the expected inflation distribution through disagreement, level shift and ambiguity. Linking these functional shocks to economic shocks, we find that contractionary monetary shocks increase the average level of inflation expectation with anchoring effects, with a reduction in disagreement and an increase in the share of households expecting future inflation to be between 2 to 4 percent. Such anchoring effects are not observed when the high inflation periods prior to the Volcker disinflation are included. Expansionary government spending shocks have inflationary effects on both short and medium-run inflation expectations, while an increase in personal income tax shocks is inflationary for mediumrun. A surprise increase in gasoline prices increases the level of inflation expectations, but lowers the share of households with 2 percent inflation expectations.
Essays in Honor of Joon Y. Park
Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.
Essays in Honor of Peter C. B. Phillips
This volume honors Professor Peter C.B. Phillips' many contributions to the field of econometrics. The topics include non-stationary time series, panel models, financial econometrics, predictive tests, IV estimation and inference, difference-in-difference regressions, stochastic dominance techniques, and information matrix testing.
Bayesian Model Comparison
This volume of Advances in Econometrics 34 focusses on Bayesian model comparison. It reflects the recent progress in model building and evaluation that has been achieved in the Bayesian paradigm and provides new state-of-the-art techniques, methodology, and findings that should stimulate future research.
Essays in Honour of Fabio Canova
Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.
International Bibliography Of Economics 2003
First published in 1952, the International Bibliography of the Social Sciences (anthropology, economics, political science, and sociology) is well established as a major bibliographic reference for students, researchers and librarians in the social sciences worldwide. Key features * Authority: Rigorous standards are applied to make the IBSS the most authoritative selective bibliography ever produced. Articles and books are selected on merit by some of the world's most expert librarians and academics. * Breadth: today the IBSS covers over 2000 journals - more than any other comparable resource. The latest monograph publications are also included. * International Coverage: the IBSS reviews scholarship published in over 30 languages, including publications from Eastern Europe and the developing world. * User friendly organization: all non-English titles are word sections. Extensive author, subject and place name indexes are provided in both English and French.
Dynamic Factor Models
This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Identifying News Shocks from Forecasts
We propose a method to identify the anticipated components of macroeconomic shocks in a structural VAR. We include empirical forecasts about each time series in the VAR. This introduces enough linear restrictions to identify each structural shock and to further decompose each one into “news” and “surprise” shocks. We estimate a VAR on US time series using forecast data from the SPF, CBO, Federal Reserve, and asset prices. Unanticipated fiscal stimulus and interest rate shocks we identify have typical effects that match existing evidence. In our news-surprise decomposition, we find that news drives around one quarter of US business cycle volatility. News explains a larger share of the variance due to fiscal shocks than for monetary policy shocks. Finally, we use the news structure of the shocks to estimate counterfactual policy rules, and compare the ability of fiscal and monetary policy to moderate output and inflation. We find that coordinated fiscal and monetary policy are substantially more effective than either tool is individually.
