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Estimating the LQAC model with I(2) variables

含I(2)变量的线性二次调整成本模型估计

This paper derives a method for estimating and testing the Linear Quadratic Adjustment Cost (LQAC) model when the target variable and some of the forcing variables follow I(2) processes. Based on a forward-looking error-correction formulation of the model it is shown how to obtain strongly consistent estimates of the structural parameters from both a linear and a non-linear cointegrating regression where first-differences of the I(2) variables are included as regressors…

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Jackknife instrumental variables estimation

Jackknife 工具变量估计

Two-stage-least-squares (2SLS) estimates are biased towards the probability limit of OLS estimates. This bias grows with the degree of over-identification and can generate highly misleading results. In this paper we propose two simple alternatives to 2SLS and limited-information-maximum-likelihood (LIML) estimators for models with more instruments than endogenous regressors. These estimators can be interpreted as instrumental variables procedures using an instrument that is…

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Unit roots in the presence of abrupt governmental interventions with an application to Brazilian data

突发政府干预下的单位根检验:巴西数据应用

This paper considers econometric issues related to time-series data that have been subject to abrupt governmental interventions. The motivating example for this study is the Brazilian monthly inflation rate (1974:1-1993:6) which we use throughout for illustration. This series has been heavily influenced by the effect of so-called shock plans implemented by various governments starting in the mid-1980s. The plans act as 'inliers' in the sense that the series is temporarily…

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Small sample properties of LIML and jackknife IV estimators: experiments with weak instruments

弱工具变量下LIML与刀切工具变量估计量的小样本性质

Using Monte Carlo simulations we study the small sample performance of the traditional TSLS, the LIML and four new jackknife IV estimators when the instruments are weak. We find that the new estimators and LIML have a smaller bias but a larger variance than the TSLS. In terms of root mean square error, neither LIML nor the new estimators perform uniformly better than the TSLS. The main conclusion from the simulations and an empirical application on labour supply functions is…

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Optimal univariate inflation forecasting with symmetric stable shocks

具有对称稳定冲击的最优单变量通胀预测

Monthly inflation in the United States indicates non-normality in the form of either occasional big shocks or marked changes in the level of the series. We develop a univariate state space model with symmetric stable shocks for this series. The non-Gaussian model is estimated by the Sorenson-Alspach filtering algorithm. Even after removing conditional heteroscedasticity, normality is rejected in favour of a stable distribution with exponent 1�83. Our model can be used for…

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Intertemporal substitution in import demand and habit formation

进口需求中的跨期替代与习惯形成

To study non-durable import demand, we extend previous work done by Clarida (1994) and Ceglowski (1991) by considering a two-good version of the lifecycle model in which we introduce time-non-separability in the households' preferences. The model is estimated using quarterly data for the USA and France. Using the information contained in the observed stochastic and deterministic trends, we derive a cointegration restriction used to estimate curvature parameters of the…

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A general dependence test and applications

一种一般依赖检验及其应用

We describe a test, based on the correlation integral, for the independence of a variable and a vector that can be used with serially dependent data. Monte Carlo simulations suggest that the test has good power to detect dependence in several models, performing nearly as well or better than the BDS test in univariate time series and complementing the BDS test in distributed lag models. Finally, we apply our test in conjunction with the BDS test to examine models of US…

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Semiparametric analysis of German East-West migration intentions: facts and theory

德国东西部迁移意向的半参数分析:事实与理论

East–West migration in Germany peaked at the beginning of the 1990s although the average wage gap between Eastern and Western Germany continues to average about 25%. We analyse the propensity to migrate using microdata from the German Socioeconomic Panel. Fitting a parametric Generalized Linear Model (GLM) yields non-linear residual behavior. This finding is not compatible with classical Marshallian theory of migration and motivates the semiparametric analysis. We estimate a…

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Individual demands from household aggregates: time and age variation in the composition of diet

从家庭总量推断个人需求:膳食构成的时间与年龄变化

This paper uses non-parametric regression with smoothness induced by imposition of a roughness penalty to estimate time-dependent relationships between age and intakes of energy, total fat and saturated fatty acids employing data on household food acquisitions from a continuous survey covering the period 1975-94. A discrete analogue of the bivariate thin plate spline smoother is used to smooth the estimates across age and time. With age and calendar time-specific estimated…

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Semiparametric estimation and consumer demand

半参数估计与消费者需求

This paper considers the implementation of semiparametric methods in the empirical analysis of consumer demand. The application is to the estimation of the Engel curve relationship and uses the British Family Expenditure Survey. Household composition is modelled using an extended partially linear framework. This is shown to provide a useful method for pooling non-parametric Engel curves across households of different demographic composition. � 1998 John Wiley & Sons, Ltd.

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Semiparametric estimation and consumer demand

半参数估计与消费者需求

This paper considers the implementation of semiparametric methods in the empirical analysis of consumer demand. The application is to the estimation of the Engel curve relationship and uses the British Family Expenditure Survey. Household composition is modelled using an extended partially linear framework. This is shown to provide a useful method for pooling non-parametric Engel curves across households of different demographic composition. � 1998 John Wiley & Sons, Ltd.

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Testing the predictive value of subjective labour supply data

检验主观劳动供给数据的预测价值

Empirical implementation of labour supply theories is usually based on actual hours of work. This requires strong assumptions on the impact of labour demand. To avoid these assumptions, subjective data on desired labour supply can be used. In this paper we investigate whether respondents' answers to survey questions on the desired number of working hours contain additional information on the respondents' preferences. Using panel data for the Netherlands, we analyse whether…

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A comparison of parametric and semiparametric estimates of the effect of spousal health insurance coverage on weekly hours worked by wives

配偶医保对妻子每周工时影响的参数与半参数估计比较

Health insurance in the USA for most of the non-aged population is provided as a fringe benefit that is received by an adult family member as part of his or her compensation package. In husband and wife households health insurance is more likely to be part of the husband's compensation package than the wife's compensation package. However, when a husband does not have employer-provided health insurance, his wife may seek health insurance through an employer. Because health…

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Individual demands from household aggregates: time and age variation in the composition of diet

从家庭总量恢复个人需求:膳食构成的时间与年龄变化

This paper uses non-parametric regression with smoothness induced by imposition of a roughness penalty to estimate time-dependent relationships between age and intakes of energy, total fat and saturated fatty acids employing data on household food acquisitions from a continuous survey covering the period 1975-94. A discrete analogue of the bivariate thin plate spline smoother is used to smooth the estimates across age and time. With age and calendar time-specific estimated…

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Intrahousehold resource allocation in rural Pakistan: a semiparametric analysis

巴基斯坦农村家庭内部资源分配的半参数分析

We estimate semiparametric Engel curves for rural Pakistan using a large household survey. This allows us to obtain consistent estimates of the effects of household size and composition on consumption patterns even when these demographic variables are correlated with an unknown function of income. The coefficients on the household composition variables are used to infer patterns of intrahousehold allocation. While there is little evidence of gender differences among…

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Semiparametric analysis of German East–West migration intentions: facts and theory

德国东西部迁移意向的半参数分析:事实与理论

East–West migration in Germany peaked at the beginning of the 1990s although the average wage gap between Eastern and Western Germany continues to average about 25%. We analyse the propensity to migrate using microdata from the German Socioeconomic Panel. Fitting a parametric Generalized Linear Model (GLM) yields non-linear residual behavior. This finding is not compatible with classical Marshallian theory of migration and motivates the semiparametric analysis. We estimate a…

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An empirical application of stochastic volatility models

随机波动模型的实证应用

This paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data for four major currencies. We concentrate on the effects of the distribution of the exchange rate innovations for both parameter estimates and for estimates of the latent volatility series. The density of the log of squared exchange rate innovations is modelled as a flexible mixture of normals. We use three different estimation techniques: quasi-maximum…

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Robustness tests of the augmented Solow model

扩展索洛模型的稳健性检验

This paper demonstrates some techniques for testing the robustness of cross-section and panel data regressions, and applies them to the influential augmented Solow growth model. The paper focuses on robust estimation and analysis of sensitivity to measurement error. In particular, it is shown that estimated technology parameters and convergence rates are highly sensitive to measurement error. � 1998 John Wiley & Sons, Ltd.

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The age profile of mobility measures: an application to earnings in West Germany

流动性指标的年龄曲线:西德收入的应用

This paper develops a technique for estimating age-profiles of earnings mobility using conditional kernel density estimation and establishes their statistical properties. Both pointwise and simultaneous confidence intervals are derived. The paper then examines the age-profile of short-run earnings mobility in Germany between 1983 and 1993 using the Socio-Economic Panel data. It turns out that earnings mobility is significantly higher for young people than for elder ones.…

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Unemployment persistence: does the size of the shock matter?

失业持续性:冲击规模是否重要?

One of the stylized facts of unemployment is that shifts in its mean rate between decades and half-decades account for most of its variance. In this paper, we use a statistical analysis based on Markov switching regression models to identify the dates of infrequent changes in the mean of the unemployment rate series of fifteen countries. We find that in most countries, unemployment persistence is much reduced once the (infrequently) changing mean rate, induced by large…

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A threshold error-correction model for intraday futures and index returns

日内期货与指数收益的门槛误差修正模型

Index-futures arbitragers only enter into the market if the deviation from the arbitrage relation is sufficiently large to compensate for transaction costs and associated interest rate and dividend risks. We estimate the band around the theoretical futures price within which arbitrage is not profitable for most arbitragers, using a threshold autoregression model. Combining these thresholds with an error-correction model, we show that the impact of the mispricing error is…

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Does more calculus improve student learning in intermediate micro- and macroeconomic theory?

更多微积分学习能否改善中级微观与宏观经济学成绩?

Using a selection bias correction model with ordered probit, we estimate how a second semester of calculus affects students' grades in intermediate economic theory. Selection bias correction is needed because similar aptitudes and interests often lead students to enroll and do well in both mathematics and economics. A sample of students enrolled in 49 classes of intermediate micro and 41 classes of intermediate macro is used to estimate the model. The results show a…

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