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 Policymakers Beware: The Use and Misuse of Regressions in Explaining Economic Growth
time. Another is nonparametric econometric tools, which can be used to understand the growth evidence without imposing the straitjacket of assuming linear relationships. The conclusions derived from such tools are considerably different from those generated by standard methods. Most important...
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time. Another is nonparametric econometric tools, which can be used to understand the growth evidence without imposing the straitjacket of assuming linear relationships. The conclusions derived from such tools are considerably different from those generated by standard methods. Most importantly, these methods allow us to construct a picture of the world that is consistent with its inherent complexity. The illusion of certainty provided by conventional exercises no longer prevails. But there is not much defence
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http://www.undp-povertycentre.org/pub/IPCPolicyResearchBrief5.pdf#page=3
www.undp-povertycentre.org/pub/IPCPolicyResearchBrief5.pdf#page=3
cartographers in the fifteenth century, and produced quite a few maps that predicted that you would fall off a cliff once you reached the edges of the known world. How do we take full account of existing uncertainty in our attempt to understand the development process? A whole field of econometric theory is devoted to estimating relationships when we have no prior knowledge about their underlying forms. This field, known as <span class="highlight">nonparametric</span> econometrics, has made significant advances in the past two decades. Its key idea
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http://www.undp-povertycentre.org/pub/IPCPolicyResearchBrief5.pdf#page=4
www.undp-povertycentre.org/pub/IPCPolicyResearchBrief5.pdf#page=4
time. Another is <span class="highlight">nonparametric</span> econometric tools, which can be used to understand the growth evidence without imposing the straitjacket of assuming linear relationships. The conclusions derived from such tools are considerably different from those generated by standard methods. Most importantly, these methods allow us to construct a picture of the world that is <span class="highlight">consistent</span> with its inherent complexity. The illusion of certainty provided by conventional exercises no longer prevails. But there is not much defence
Statistical software for astronomy and related fie
Bayesian statistics Censored and truncated data Correlation and regression Density estimation and smoothing General statistics packages & information Interactive Web tools Multivariate analysis & classification Nonparametric methods Software written by astronom...
StatSoft Inc.: Overview of Elementary Stats Concep
Correspondence Analysis Data Mining Techniques Discriminant Analysis Distribution Fitting Experimental Design Factor Analysis General Discrim. Analysis General Linear Models Generalized Additive Mod. Generalized Linear Mod. General Regression Mod. Graphical Techni...
Imagination Estimation
Imagination Estimation: Introduction Imagination Estimation Introduction Task Process Evaluation Conclusion Credits Teacher Page by Brenda Biehler, Emporia State University Mary Sigle, Emporia State A way for studnets to explore estimation. Use their imagination on where...
Cognitive Skills Matter in the Labor Market, Even for School Dropouts
= = ≠ with nc the cell frequency in the cth cell, we have [ ] + + =Ω=&pri...
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= = ≠ with nc the cell frequency in the cth cell, we have [ ] + + =Ω=′ 2 22 2 2 1 2 22 . . . 00 σ ωσ σ ωσ σσεε C E M L where C is the total number of cells. Efficient estimation of δ in Equation (2) requires a consistent estimate of Ω, which, in turn, requires estimates of each ωc2 and of σ2. Estimates of the ωc2 are obtained by using the cell variances (supplied by the SSA) to estimate the ηc2, in combination with the cell frequencies nc (also supplied by the SSA
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http://www.ncsall.net/fileadmin/resources/research/report15.pdf#page=2
www.ncsall.net/fileadmin/resources/research/report15.pdf#page=2
11 <span class="highlight">Estimation</span>...12 Results ...14 Conclusion ...21 References
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http://www.ncsall.net/fileadmin/resources/research/report15.pdf#page=14
www.ncsall.net/fileadmin/resources/research/report15.pdf#page=14
  = = ≠ with nc the cell frequency in the cth cell, we have [ ]               + + =Ω=′ 2 22 2 2 1 2 22 . . . 00 σ ωσ σ ωσ σσεε C E M L where C is the total number of cells. Efficient <span class="highlight">estimation</span> of δ in Equation (2) requires a <span class="highlight">consistent</span> estimate of Ω, which, in turn, requires estimates of each ωc2 and of σ2. Estimates of the ωc2 are obtained by using the cell variances (supplied by the SSA) to estimate the ηc2, in combination with the cell frequencies nc (also supplied by the SSA
Science Podcast: Autism's Genetic Links; Interacting with Mass Media; Bipolar Disorder in ...
Interviewee - Christopher Walsh So we know that autism-spectrum disorders are among the most heritable, if not the most heritable, of all neuropsychiatric conditions. However, the paradox has been that many of the genetic causes that have been identified, for autism, have 2 prominent feature...
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Interviewee - Christopher Walsh So we know that autism-spectrum disorders are among the most heritable, if not the most heritable, of all neuropsychiatric conditions. However, the paradox has been that many of the genetic causes that have been identified, for autism, have 2 prominent features. First of all, each causes only accounts for 1% or less of all children – so they’re about 20 or so known causes, but each account for a small proportion of the disease. And second of all, in fact a lot of
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http://www.sciencemag.org/cgi/data/321/5886/267b/DC1/1#page=2
www.sciencemag.org/cgi/data/321/5886/267b/DC1/1#page=2
Interviewee - Christopher Walsh So we know that autism-<span class="highlight">spectrum</span> disorders are among the most heritable, if not the most heritable, of all neuropsychiatric conditions. However, the paradox has been that many of the genetic causes that have been identified, for autism, have 2 prominent features. First of all, each causes only accounts for 1% or less of all children – so they’re about 20 or so known causes, but each account for a small proportion of the disease. And second of all, in fact a lot of
Multiple Regression Assumptions. ERIC Digest.
We believe that checking these assumptions carries significant benefits for the researcher. Making sure an analysis meets the associated assumptions helps avoid Type I and II errors. Attending to issues such as attenuation due to low reliability, curvilinearity, and non-normality often boosts effect...
Newton's Apple: Infrared Light
infrared radiation with radio waves, microwaves, visible light, ultraviolet radiation, X rays, and gamma rays, you'll end up with a broad band of radiation frequencies called the electromagnetic spectrum. All of these types of electromagnetic radiation transfer energy through space via...
Counterpoint Commentary on the Original Paper "Evolution of Life: A Cosmic Perspectiv...
that these microorganisms had an entirely terrestrial heritage. This means that, right or wrong, the authors must admit that the consensus of scientific opinion is that natural selection can explain these traits, and that they are not necessarily “unworldly.” They may be consistent...
For full Report: South Africa
effects). In the regressions on manufacturing subsectors we use the two-step GMM estimation procedure. We use data on the nine major industries and 27 sub-sectors of the manufacturing sector for the period 1970-2001. 3. Key regression results One of the most consistent empirical resul...
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effects). In the regressions on manufacturing subsectors we use the two-step GMM estimation procedure. We use data on the nine major industries and 27 sub-sectors of the manufacturing sector for the period 1970-2001. 3. Key regression results One of the most consistent empirical results is the positive effect of demand on in- vestment. The accelerator effect is robust to alternative specifications and estimation techniques both in industry data and in manufacturing sector data. The results sug- gest that an
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http://www.undp-povertycentre.org/publications/reports/South%20Africa.pdf#page=181
www.undp-povertycentre.org/publications/reports/South%20Africa.pdf#page=1...
effects). In the regressions on manufacturing subsectors we use the two-step GMM <span class="highlight">estimation</span> procedure. We use data on the nine major industries and 27 sub-sectors of the manufacturing sector for the period 1970-2001. 3. Key regression results One of the most <span class="highlight">consistent</span> empirical results is the positive effect of demand on in- vestment. The accelerator effect is robust to alternative specifications and <span class="highlight">estimation</span> techniques both in industry data and in manufacturing sector data. The results sug- gest that an
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