Some aspects of statistical inference in systems of equations
(1997) Abstract
 The objective of this thesis is to develop a strategy for statistical/econometric inferences applicable to systemwise testing of econometric models. A common deficiency in many applied econometric studies is the absence of statistical diagnostic testing. A model is only as good as the assumptions being used, and if these assumptions are incorrect then the model can be as good as worthless. In the field of econometrics, available data typically consist of time series data which are not generated under controlled conditions. Hence there arises the need for a well designed misspecification testing strategy. Among other things, the thesis outlines a strategy for how to select an appropriate model. The thesis consists of four papers: Paper I,... (More)
 The objective of this thesis is to develop a strategy for statistical/econometric inferences applicable to systemwise testing of econometric models. A common deficiency in many applied econometric studies is the absence of statistical diagnostic testing. A model is only as good as the assumptions being used, and if these assumptions are incorrect then the model can be as good as worthless. In the field of econometrics, available data typically consist of time series data which are not generated under controlled conditions. Hence there arises the need for a well designed misspecification testing strategy. Among other things, the thesis outlines a strategy for how to select an appropriate model. The thesis consists of four papers: Paper I, describes a misspecification testing strategy designed to ensure the appropriateness of the statistical assumptions underlying a system of equations. The strategy is explained and illustrated by means of an empirical example, in which the annual demand for milk in Sweden for the period 19601991 is estimated by using an approximation of the AIDS model (LA/AIDS). Paper II, presents an extensive Monte Carlo simulation study to examine the small sample properties of the BreuschGodfrey test for autocorrelated errors when applied to system of equations. Paper III, presents an extensive Monte Carlo simulation study to examine the small sample properties of the Regression Specification Error Test (RESET) in a system of equations perspective. Paper IV, finally, addresses some problems in a paper by Xepapadeas and Habib (Applied Economics Letters, 1996). It is argued that the authors commit some serious errors when estimating a dynamic almost ideal demand system applied to the Greek data on dairy products. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/29402
 author
 Shukur, Ghazi ^{LU}
 supervisor
 opponent

 Flood, Lennart, Professor, GĂ¶teborg
 organization
 publishing date
 1997
 type
 Thesis
 publication status
 published
 subject
 keywords
 Statistics, small sample properties., misspecification, system of equations, dynamic specification, operations research, programming, actuarial mathematics, Statistik, operationsanalys, programmering, aktuariematematik
 pages
 143 pages
 publisher
 Department of Statistics, Lund university
 defense location
 Dept. of statistics, 30 Maj, 1997, Kl 13.15
 defense date
 19970530 13:15:00
 external identifiers

 other:ISRN: LUSADG/SAST1006/1143(1997)
 language
 English
 LU publication?
 yes
 id
 5fb4b937c3a442bb9fb851039845177d (old id 29402)
 date added to LUP
 20160404 11:37:41
 date last changed
 20181121 21:06:06
@phdthesis{5fb4b937c3a442bb9fb851039845177d, abstract = {{The objective of this thesis is to develop a strategy for statistical/econometric inferences applicable to systemwise testing of econometric models. A common deficiency in many applied econometric studies is the absence of statistical diagnostic testing. A model is only as good as the assumptions being used, and if these assumptions are incorrect then the model can be as good as worthless. In the field of econometrics, available data typically consist of time series data which are not generated under controlled conditions. Hence there arises the need for a well designed misspecification testing strategy. Among other things, the thesis outlines a strategy for how to select an appropriate model. The thesis consists of four papers: Paper I, describes a misspecification testing strategy designed to ensure the appropriateness of the statistical assumptions underlying a system of equations. The strategy is explained and illustrated by means of an empirical example, in which the annual demand for milk in Sweden for the period 19601991 is estimated by using an approximation of the AIDS model (LA/AIDS). Paper II, presents an extensive Monte Carlo simulation study to examine the small sample properties of the BreuschGodfrey test for autocorrelated errors when applied to system of equations. Paper III, presents an extensive Monte Carlo simulation study to examine the small sample properties of the Regression Specification Error Test (RESET) in a system of equations perspective. Paper IV, finally, addresses some problems in a paper by Xepapadeas and Habib (Applied Economics Letters, 1996). It is argued that the authors commit some serious errors when estimating a dynamic almost ideal demand system applied to the Greek data on dairy products.}}, author = {{Shukur, Ghazi}}, keywords = {{Statistics; small sample properties.; misspecification; system of equations; dynamic specification; operations research; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik}}, language = {{eng}}, publisher = {{Department of Statistics, Lund university}}, school = {{Lund University}}, title = {{Some aspects of statistical inference in systems of equations}}, year = {{1997}}, }