Estimation results for the OLS models
The Role of "Leads" in the Dynamic OLS Estimation of Cointegrating Regression Models
... dynamic OLS estimation of cointegrating regression ...dynamic OLS estimation of cointegrating regression ...dynamic OLS estimator without leads substantially outperforms that with leads ...
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The Role of "Leads" in the Dynamic OLS Estimation of Cointegrating Regression Models
... the OLS estimator contains the so-called second-order ...modified OLS estimator proposed by Phillips and Hansen (1990), Park’s (1992) canonical cointegrating regression estimator, and the dynamic OLS ...
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OLS-based estimation of the disturbance variance under spatial autocorrelation
... analogous results hold for the more general “j ahead and j behind” weight matrix W which has non-zero elements in the j entries before and after the main diagonal, with the non-zero entries equal to ...
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“Linear” fully modified OLS estimation of cointegrating polynomial regressions
... squares estimation methods for linear cointegrating regressions are routinely ...to estimation leads for the Fully Modified OLS estimator surprisingly to the same limiting distribution as obtained ...
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Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions
... variance estimation is crucial for the properties of the FM-OLS ...This results in a fixed-b limit of the FM-OLS estimator of very complicated form that does not lend itself to the ...
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Dynamic OLS estimation of the U.S. import demand for Mexican crude oil
... Texas A&M International University [email protected] ABSTRACT This paper estimates the U.S. import demand for crude oil from Mexico. The analysis is based on time series from January 1990 to December 2010. Time ...
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Using OLS to estimate and test for structural changes in models with endogenous regressors
... the OLS parameter estimates, which is equivalent in the leading case of regressors and errors that have a homogenous distribution across ...their results directly to obtain the relevant limit ...the ...
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Dynamic OLS estimation of the U S import demand for Mexican crude oil
... Texas A&M International University [email protected] ABSTRACT This paper estimates the U.S. import demand for crude oil from Mexico. The analysis is based on time series from January 1990 to December 2010. Time series ...
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Rank-1/2: A Simple Way to Improve the OLS Estimation of Tail Exponents
... an OLS regression: log(Rank)=a-b log(Size), and take b as an estimate of the Pareto ...an OLS regression, one should use the Rank-1/2, and run log(Rank-1/2)=a-b ...the OLS standard error, but is ...
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The Asymptotic Validity of "Standard" Fully Modified OLS Estimation and Inference in Cointegrating Polynomial Regressions
... The results and observations of this paper immediately lead to the following questions: (i) do the results extend to other modified least squares estimators like D-OLS of Saikko- nen (1991) or Stock ...
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Wallet estimation models
... wallet estimation, while emphasizing the use of predictive modeling technologies to generate useful estimates, and minimizing reliance on primary ...empirical results on the success of these modeling ...
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Results on point and interval estimation for log linear models with non ignorable non response
... log-linear models for multi-way contingency tables with one variable subject to non- ignorable non-response will yield non-response boundary solutions, where the probability of non- respondents being classified in ...
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Income Inequality and FDI in Turkey: FM OLS (Phillips Hansen) Estimation and ARDL Approach to Cointegration
... In this paper, long-term results are expected in the basis of economic theory. FDI, however, is negative and in a few cases even significantly related to income inequality. The implication is that increased flow ...
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Integrated modified OLS estimation for cointegrating polynomial regressions - with an application to the environmental Kuznets curve for CO2 emissions
... This paper considers the IM-OLS estimator introduced by Vogelsang and Wagner (2014a; 2014b) for cointegrating polynomial regressions (CPRs). Cointegrating polynomial regres- sions include deterministic variables, ...
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Bridging logistic and OLS regression
... the results of a logistic regression by estimating the female and male probabilities, keeping the values of the rest of independent variables equal to their average value, and subtracting the ...the results ...
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Bridging logistic and OLS regression
... One approach that has been used to estimate LPCs is by comparing point estimates of the expected probability of various characteristics (Pohlmann and Leitner, 2003). For example, the LPC of the impact of female gender on ...
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Section 8: OLS in asymptopia
... Now that we have the data from our simulation, let’s plot our results. Specifically, we will plot the distribution of coefficient estimates, by sample size, for each of the distributions of the disturbances. Let’s ...
Improving Effort Estimation by Voting Software Estimation Models
... As a result, the correlation of the variables, based on (1), is depicted in Table 9. An acceptable correlation should have an absolute value higher than 0.5. Since the correlation of variables under the principal ...
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Estimation and inference of FAVAR models
... identification, estimation, and inferential theory of the FAVAR ...better estimation of unobserved ...iterative estimation procedure advocated by Boivin, Giannoni and Mihov (2009) can be ...
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M estimation in GARCH models
... technical results on the GARCH model ~1+1! and ~1+2! and used them to derive the asymptotic normal- ity of the QMLE+ Straumann and Mikosch ~2006! studied the QMLE under general conditional heteroskedastic ...
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