The main uniform convergence results of Hansen (2008, Econometric Theory 24, 726–748) are generalized in two directions: Data are allowed to (a) be heterogeneously dependent and (b) depend on a (possibly unbounded) parameter. These results are useful in semiparametric estimation problems involving time-inhomogeneous models and/or sampling of continuous-time processes. The usefulness of these results is demonstrated by two applications: kernel regression estimation of a time-varying AR(1) model and the kernel density estimation of a Markov chain that has not been initialized at its stationary distribution.
Hansen (2008, Econometric Theory 24, 726-748)的主要一致收敛结果在两个方向上得到了推广:数据允许(a)是异构依赖的，(b)依赖于一个(可能无界的)参数。这些结果在涉及时间非齐次模型和/或连续时间过程抽样的半参数估计问题中是有用的。这些结果的有用性通过两个应用来证明:时变AR(1)模型的核回归估计和未在其平稳分布处初始化的马尔可夫链的核密度估计。
{"title":"Uniform Convergence Rates of Kernel Estimators with Heterogenous, Dependent Data","authors":"Dennis Kristensen","doi":"10.2139/ssrn.1144782","DOIUrl":"https://doi.org/10.2139/ssrn.1144782","url":null,"abstract":"The main uniform convergence results of Hansen (2008, Econometric Theory 24, 726–748) are generalized in two directions: Data are allowed to (a) be heterogeneously dependent and (b) depend on a (possibly unbounded) parameter. These results are useful in semiparametric estimation problems involving time-inhomogeneous models and/or sampling of continuous-time processes. The usefulness of these results is demonstrated by two applications: kernel regression estimation of a time-varying AR(1) model and the kernel density estimation of a Markov chain that has not been initialized at its stationary distribution.","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131336576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper we describe a methodology for enriching an income dataset with information on expenditures using a semi-parametric imputation technique. Engel curves are first estimated semi-parametrically on household budget data. We then show how the technique can be used to impute expenditure information into a separate income dataset. As an example we show results from the imputation of expenditures in a separate income file using Belgian household budget data.
{"title":"Enriching Income Data with Expenditure Information: A Semi-Parametric Imputation Technique","authors":"A. Decoster, Kris De Swerdt","doi":"10.2139/ssrn.1130787","DOIUrl":"https://doi.org/10.2139/ssrn.1130787","url":null,"abstract":"In this paper we describe a methodology for enriching an income dataset with information on expenditures using a semi-parametric imputation technique. Engel curves are first estimated semi-parametrically on household budget data. We then show how the technique can be used to impute expenditure information into a separate income dataset. As an example we show results from the imputation of expenditures in a separate income file using Belgian household budget data.","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"474 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124059926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is a paucity of facts about the effects of the recent military "Surge" on conditions in Iraq and whether it is paving the way for a stable Iraq. Selective, anecdotal and incomplete analyses abound. Policy makers and defense planners must decide which measures of success or failure are most important, but until now few, if any, systematic analyses were available on which to base those decisions. This paper applies modern statistical techniques to a new data file derived from more than a dozen of the most reliable and widely-cited sources to assess the Surge's impact on three key dimensions: the functioning of the Iraqi state (including violent civilian casualties); military casualties; and financial markets' assessment of Iraq's future. The new and unusually rigorous findings presented here should help inform current evaluations of the Surge and provide a basis for better decision making about future strategy. The analysis reveals mixed evidence on the Surge's effect on key trends in Iraq. The security situation has improved insofar as violent civilian fatalities have declined without any concurrent increase in casualties among coalition and Iraqi troops. However, other areas, such as oil production and the number of trained Iraqi Security Forces have shown no improvement or declined. Evaluating such conflicting indicators is challenging. There is, however, another way to assess the Surge. This paper shows how data from world financial markets can be used to shed light on the central question of whether the Surge has increased or diminished the prospect of today's Iraq surviving into the future. In particular, I examine the price of Iraqi state bonds, which the Iraqi government is currently servicing, on world financial markets. After the Surge, there was a sharp decline in the price of those bonds, relative to alternative bonds. This decline signals a 40% increase in the market's expectation that Iraq will default. This finding suggests that, to date, the Surge is failing to pave the way toward a stable Iraq and may in fact be undermining it.
{"title":"Is the \"Surge\" Working? Some New Facts","authors":"M. Greenstone","doi":"10.2139/ssrn.1014427","DOIUrl":"https://doi.org/10.2139/ssrn.1014427","url":null,"abstract":"There is a paucity of facts about the effects of the recent military \"Surge\" on conditions in Iraq and whether it is paving the way for a stable Iraq. Selective, anecdotal and incomplete analyses abound. Policy makers and defense planners must decide which measures of success or failure are most important, but until now few, if any, systematic analyses were available on which to base those decisions. This paper applies modern statistical techniques to a new data file derived from more than a dozen of the most reliable and widely-cited sources to assess the Surge's impact on three key dimensions: the functioning of the Iraqi state (including violent civilian casualties); military casualties; and financial markets' assessment of Iraq's future. The new and unusually rigorous findings presented here should help inform current evaluations of the Surge and provide a basis for better decision making about future strategy. The analysis reveals mixed evidence on the Surge's effect on key trends in Iraq. The security situation has improved insofar as violent civilian fatalities have declined without any concurrent increase in casualties among coalition and Iraqi troops. However, other areas, such as oil production and the number of trained Iraqi Security Forces have shown no improvement or declined. Evaluating such conflicting indicators is challenging. There is, however, another way to assess the Surge. This paper shows how data from world financial markets can be used to shed light on the central question of whether the Surge has increased or diminished the prospect of today's Iraq surviving into the future. In particular, I examine the price of Iraqi state bonds, which the Iraqi government is currently servicing, on world financial markets. After the Surge, there was a sharp decline in the price of those bonds, relative to alternative bonds. This decline signals a 40% increase in the market's expectation that Iraq will default. This finding suggests that, to date, the Surge is failing to pave the way toward a stable Iraq and may in fact be undermining it.","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper studies the productivity impact of heterogeneous capital inputs of selected EU-15 member countries and of the U.S. at the macroeconomic level. The stochastic possibility frontiers approach of Battese and Coelli (1992) applied here is used to identify neutralities or non-neutralities between different heterogeneous capital and labor inputs. Owing to the introduction and estimation of two-stage nested translog possibility production frontiers, the otherwise huge parameter space for the seven input factors included in the model is reduced significantly. This gives more robust estimates of the remaining parameters. Due to the detailed data, specific types of biased technological change in heterogeneous capital inputs can be tested. Furthermore, time-varying inefficiency trajectories for each country are obtainable. Annual data from 1980 to 2004, calculated and published by the Groningen Growth and Development Centre, are used in the empirical analysis. The results obtained shed new light on how fast technological progress in a global economy can shift comparative advantages between countries. In particular the different factor specific impacts of ICT and non-ICT capital stocks give a more detailed picture of the structural dynamics between factor inputs than do most other empirical studies using more aggregate factor input data.
{"title":"Nested Stochastic Possibility Frontiers with Heterogeneous Capital Inputs","authors":"G. Erber, R. Madlener","doi":"10.2139/ssrn.1031102","DOIUrl":"https://doi.org/10.2139/ssrn.1031102","url":null,"abstract":"This paper studies the productivity impact of heterogeneous capital inputs of selected EU-15 member countries and of the U.S. at the macroeconomic level. The stochastic possibility frontiers approach of Battese and Coelli (1992) applied here is used to identify neutralities or non-neutralities between different heterogeneous capital and labor inputs. Owing to the introduction and estimation of two-stage nested translog possibility production frontiers, the otherwise huge parameter space for the seven input factors included in the model is reduced significantly. This gives more robust estimates of the remaining parameters. Due to the detailed data, specific types of biased technological change in heterogeneous capital inputs can be tested. Furthermore, time-varying inefficiency trajectories for each country are obtainable. Annual data from 1980 to 2004, calculated and published by the Groningen Growth and Development Centre, are used in the empirical analysis. The results obtained shed new light on how fast technological progress in a global economy can shift comparative advantages between countries. In particular the different factor specific impacts of ICT and non-ICT capital stocks give a more detailed picture of the structural dynamics between factor inputs than do most other empirical studies using more aggregate factor input data.","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1998-09-04DOI: 10.1007/978-3-642-60187-3_51
Marek Walesiak, J. Dziechciarz, A. Ba̧k
{"title":"Study Major Choice -- Factor Preference Measurement","authors":"Marek Walesiak, J. Dziechciarz, A. Ba̧k","doi":"10.1007/978-3-642-60187-3_51","DOIUrl":"https://doi.org/10.1007/978-3-642-60187-3_51","url":null,"abstract":"","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133960313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This review of data problems in econometrics has been prepared for the Handbook of Econometrics (Vol. 3, Chap. 25, forthcoming). It starts with a review of the ambivalent relationship between data and econometricians, emphasizing the largely second-hand nature of economic data and the consequences that flow from the distance between econometricians as users of data and its producers. Section II describes the major types of economic data while Section III reviews some of the problems that arise in trying to use such data to estimate model parameters and to test economic theories. Section IV reviews the classical errors in variables model and its applicability to micro-data, especially panel data. Section V discusses missing data models and methods and illustrates them with an empirical example. Section VI focuses on the problem of estimating models in the absence of a full history, suggests a possible range of solutions, and provides again an empirical example: using a short panel to investigate the weights to be used in constructing a correct "capital" measure. The chapter closes (Section VII) with some final remarks on the existential problem of econometrics: life with imperfect data and inadequate theories.
{"title":"Data Problems in Econometrics","authors":"Z. Griliches","doi":"10.3386/T0039","DOIUrl":"https://doi.org/10.3386/T0039","url":null,"abstract":"This review of data problems in econometrics has been prepared for the Handbook of Econometrics (Vol. 3, Chap. 25, forthcoming). It starts with a review of the ambivalent relationship between data and econometricians, emphasizing the largely second-hand nature of economic data and the consequences that flow from the distance between econometricians as users of data and its producers. Section II describes the major types of economic data while Section III reviews some of the problems that arise in trying to use such data to estimate model parameters and to test economic theories. Section IV reviews the classical errors in variables model and its applicability to micro-data, especially panel data. Section V discusses missing data models and methods and illustrates them with an empirical example. Section VI focuses on the problem of estimating models in the absence of a full history, suggests a possible range of solutions, and provides again an empirical example: using a short panel to investigate the weights to be used in constructing a correct \"capital\" measure. The chapter closes (Section VII) with some final remarks on the existential problem of econometrics: life with imperfect data and inadequate theories.","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1984-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134086538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：