Search Results - subject:"Omitted Variables"

A consistent nonparametric test for nonlinear causality—Specification in time series regression

Nishiyama, Yoshihiko; Hitomi, Kohtaro; Kawasaki, Yoshinori - In: Journal of Econometrics 165 (2011) 1, pp. 112-127

Since the pioneering work by Granger (1969), many authors have proposed tests of causality between economic time series. Most of them are concerned only with “linear causality in mean”, or if a series linearly affects the (conditional) mean of the other series. It is no doubt of primary...

Persistent link: https://www.econbiz.de/10011052237

Small sample properties of a ridge regression estimator when there exist omitted variables

Uemukai, Ryo - In: Statistical Papers 52 (2011) 4, pp. 953-969

Persistent link: https://www.econbiz.de/10009404313

A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING

Temel, Tugrul T. - Agricultural and Applied Economics Association - AAEA - 2001

This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to...

Persistent link: https://www.econbiz.de/10005807722

Assessing the effects of monetary and fiscal policy

Neri, Stefano - Banca d'Italia - 2001

This paper has two objectives: the first is to jointly analyse monetary and fiscal policy with a structural VAR model, evaluate the dynamic impact of policy shocks on U.S. output and prices and the contributions of these two sources to fluctuations in these variables. The second objective is to...

Persistent link: https://www.econbiz.de/10005113519

Comparison of the Stein and the usual estimators for the regression error variance under the Pitman nearness criterion when variables are omitted

Ohtani, Kazuhiro; Wan, Alan - In: Statistical Papers 50 (2009) 1, pp. 151-160

Persistent link: https://www.econbiz.de/10005391186

Testing and Correcting for Sample Selection Bias in Discrete Choice Contingent Valuation Studies

Eklöf, Jan; Karlsson, Sune - Economics Institute for Research (SIR), … - 1997

The discrete choice or ”referendum” contingent valuation technique has become a popular tool for assessing the value of non-market goods. Surveys used in these studies frequently suffer from large non-response which can lead to significant bias in parameter estimates and in the estimate of...

Persistent link: https://www.econbiz.de/10005649297

Revisiting the omitted variables argument: Substantive vs. statistical adequacy

Spanos, Aris - In: Journal of Economic Methodology 13 (2006) 2, pp. 179-218

The problem of omitted variables is commonly viewed as a statistical misspecification issue which renders the inference … certain potentially important factors W t may confound the influence of X t on yt . The textbook omitted variables argument … addressing the confounding problem. The paper reframes the omitted variables question into a hypothesis testing problem …

Persistent link: https://www.econbiz.de/10005282282

Theoretical conditions under which monetary policies are effective and practical obstacles to their verification

Swamy, P.; Tavlas, George - In: Economic Theory 25 (2005) 4, pp. 999-1005

literature characterizes as good policies. We show that the biasing effects of omitted variables, measurement errors, and …

Persistent link: https://www.econbiz.de/10005370809

The Productivity of Government Spending in Asia: 1983–2000

Leightner, Jonathan - In: Journal of Productivity Analysis 23 (2005) 1, pp. 33-46

Truncated Projected Least Squares” (RTPLS), which produces 1/2 the error of OLS when omitted variables interact with the … these countries and shows how omitted variables have affected these multipliers across countries and over time. Copyright …

Persistent link: https://www.econbiz.de/10010988843

Empirical Best Linear Unbiased Prediction in Misspecified and Improved Panel Data Models with an Application to Gasoline Demand

Chang, I-Lok; Swamy, P.A.V.B.; Wisam, Yaghi - Society for Computational Economics - SCE - 2005

We emphasize using our solutions to the problems of omitted variables, measurement errors, and unknown functional forms …

Persistent link: https://www.econbiz.de/10005345062