Hedonic price and depreciation indexes for residential housing: A longitudinal approach

An equilibrium price relation is derived for price changes in durable goods capable of generating a hedonic, or quality-corrected, price index, and an index of depreciation. The structure proposed is applicable particularly to housing markets, where longitudinal, or repeat-sale data are readily available from assessment or real estate sources. The separation permits not only the construction of a true price index, but also allows tests of various functional forms for depreciation, notably the geometric function. As an application of the proposed structure, estimates are presented for single-family dwellings in surburban London, Ontario, 1967–1975.     

Efficiency measurement when producers control pollutants: a non-parametric approach

This paper treats efficiency measurement when some outputs are undesirable and producers control pollutants by end-of-pipe or change-in-process abatement. A data envelopment analysis framework that compares producers with similar pollution control efforts is proposed. First, my approach avoids arbitrary disposability assumptions for undesirable outputs. Second, the model is used to evaluate the interplay between pollution control activities and technical efficiency. I compare my approach to the traditional neo-classical production model that does not incorporate undesirable outputs among outputs, and to Färe et al.’s (Rev Econ Stat 71:90–98, 1989, J Econom 126:469–492, 2005) well-known model that incorporates bads. I evaluate the common assumption in the literature on polluting technologies, that inputs are allocatable to pollution control, and apply U.S. electricity data to illustrate my main point: Although my empirical model specifications are in line with the literature on polluting technologies, they rely on inputs that play an insignificant role in controlling nitrogen oxides (NO_x) emissions. Consequentially, there are no reasons to expect the efficiency scores of the traditional model to differ from the efficiency scores of the other two models that account for resources employed to pollution control. Statistical tests show that my model, which explicitly takes pollution control efforts into account, produces efficiency scores that are not statistically different from the traditional model’s scores for all model specifications, while Färe et al.’s model produces significantly different results for some model specifications. I conclude that the popular production models that incorporate undesirable outputs may not be applicable to all cases involving polluting production and that more emphasis on appropriate empirical specifications is needed.     

Unobserved heterogeneity in hazard rate models: a test and an illustration from a study of career mobility

This paper proposes a test for neglected heterogeneity in continuous-time hazard rate models that can be done easily using generally available program packages. It is a score test appropriate for cases in which the variance of the heterogeneity is small and it can be applied quite generally, provided that the generalized residuals can be calculated. The test is demonstrated using data on the career trajectories of German males from the German Life History Study.     

Persistent and transient productive inefficiency: a maximum simulated likelihood approach

The productive efficiency of a firm can be seen as composed of two parts, one persistent and one transient. The received empirical literature on the measurement of productive efficiency has paid relatively little attention to the difference between these two components. Ahn and Sickles (Econ Rev 19(4):461–492, 2000) suggested some approaches that pointed in this direction. The possibility was also raised in Greene (Health Econ 13(10):959–980, 2004. doi:10.1002/hec.938), who expressed some pessimism over the possibility of distinguishing the two empirically. Recently, Colombi (A skew normal stochastic frontier model for panel data, 2010) and Kumbhakar and Tsionas (J Appl Econ 29(1):110–132, 2012), in a milestone extension of the stochastic frontier methodology have proposed a tractable model based on panel data that promises to provide separate estimates of the two components of efficiency. The approach developed in the original presentation proved very cumbersome actually to implement in practice. Colombi (2010) notes that FIML estimation of the model is ‘complex and time consuming.’ In the sequence of papers, Colombi (2010), Colombi et al. (A stochastic frontier model with short-run and long-run inefficiency random effects, 2011, J Prod Anal, 2014), Kumbhakar et al. (J Prod Anal 41(2):321–337, 2012) and Kumbhakar and Tsionas (2012) have suggested other strategies, including a four step least squares method. The main point of this paper is that full maximum likelihood estimation of the model is neither complex nor time consuming. The extreme complexity of the log likelihood noted in Colombi (2010), Colombi et al. (2011, 2014) is reduced by using simulation and exploiting the Butler and Moffitt (Econometrica 50:761–764, 1982) formulation. In this paper, we develop a practical full information maximum simulated likelihood estimator for the model. The approach is very effective and strikingly simple to apply, and uses all of the sample distributional information to obtain the estimates. We also implement the panel data counterpart of the Jondrow et al. (J Econ 19(2–3):233–238, 1982) estimator for technical or cost inefficiency. The technique is applied in a study of the cost efficiency of Swiss railways.     

Optimal migration policies: an analytical approach. Part I

This paper explores the analytical features of population distribution or human settlement policies. It proposes a methodology for quantitative policy analysis and policy design based on optimal control and system theory. The paper consists of two parts. This part shows how policy models may be derived from demographic and demoeconomic or demometric models by adding a new dimension: the goals-means relationship of population distribution policy. It examines a large class of relevant policy models and demonstrates their relationship to the original Tinbergen Theory of Policy, which provides a paradigm for static and dynamic policy analysis. Problems of existence and of design of optimal population distribution policies are studied analytically. In designing optimal policies, use may be made of the minimizing properties of generalized inverses.     

A reexamination of the equity-premium puzzle: A robust non-parametric approach

Recent tests of stochastic dominance of several orders, proposed by Linton, Maasoumi and Whang [Linton, O., Maasoumi, E., & Whang, Y. (2005). Consistent testing for stochastic dominance under general sampling schemes. Review of Economic Studies, 72(3), 735–765], are applied to reexamine the equity-premium puzzle. An advantage of this non-parametric approach is that it provides a framework to assess whether the existence of a premium is due to particular cardinal choices of either the utility function or the underlying returns distribution, or both. The approach is applied to the original Mehra–Prescott data and more recent data that include daily yields on Treasury bonds and daily returns on the S&P500 and the NASDAQ indexes. The empirical results show little evidence of stochastic dominance among the assets investigated. This suggests that the observed equity premium represents compensation for bearing higher risk, taking into account higher-order moments such as skewness and kurtosis. There is some evidence of a reverse puzzle, whereby Treasury bonds stochastically dominate equities at the third order, a result which potentially reflects insufficient compensation to investors for bearing the negative skewness associated with the S&P500 index.     

Technical efficiency of Norwegian banks: The non-parametric approach to efficiency measurement

The nonparametric frontier methodology is applied to a sample of banks, where output levels are measured either by the number of accounts and their average size, or by the total balances of the accounts. The efficiency rankings of individual banks are found to depend substantially on our choice of output metric, whereas the estimated size of potential productivity improvements in the banking sector are less affected. The results on economies of scale are also largely unchanged.The refereeing process of this paper was handled through S. Grosskopf.     

Maternal full-time employment and overweight children: Parametric, semi-parametric, and non-parametric assessment

We use the matched mother-child data from the 2000 wave of the US National Longitudinal Survey of Youth 79 (NLSY79) to assess the impact of full-time working mothers on children’s body mass index (BMI) and the likelihood of becoming overweight. Parametric, semi-parametric and non-parametric methods are employed to correct the bias of selection on observables and unobservables. Pros and cons of various methods are discussed and specification tests are conducted. In general, we find that a mother’s full-time employment does have some impact on her children’s BMI and likelihood of becoming overweight across models and inference procedures.     

Labor mobility and the incidence of the residential property tax

This paper analyzes the incidence of the residential property tax in an economy with two communities. Workers are perfectly mobile so that their utility levels are equal in the two communities in equilibrium. The property tax is modeled as an ad valorem tax on housing services.     

A new approach to maximum likelihood estimation of sum-constrained linear models in case of undersized samples

Maximum likelihood procedures for estimating sum-constrained models like demand systems, brand choice models and so on, break down or produce very unstable estimates when the number of categories ( n ) is large as compared with the number of observations ( T ). In applied research, this problem is usually resolved by postulating the contemporaneous covariance matrix of the dependent variables to be known apart from a constant of proportionality. In this paper we develop a maximum likelihood procedure for sum-constrained models with large numbers of categories, which does not require too many observations, but nevertheless allows for n covariance parameters to be estimated freely.     

Estimating the returns to schooling: a likelihood approach based on normal mixtures

In this paper we develop likelihood‐based methods for statistical inference in a joint system of equations for the choice of length of schooling and earnings. The model for schooling choice is assumed to be an ordered probit model, whereas the earnings equation contains variables that are flexible transformations of schooling and experience, with corresponding coefficients that are allowed to be heterogeneous across individuals. Under the assumption that the distribution of the random terms of the model can be expressed as a finite mixture of multinormal distributions, we show that the joint probability distribution for schooling and earnings can be expressed on closed form. In an application of our method on Norwegian data, we find that the mixed Gaussian model offers a substantial improvement in fit to the (heavy‐tailed) empirical distribution of log‐earnings compared to a multinormal benchmark model. Copyright © 2010 John Wiley & Sons, Ltd.     

A semi-automated system for interoperability assessment: an ontology-based approach

ABSTRACT

A plethora of approaches to assess the ability of companies to interoperate can be found in the literature. Nevertheless, most of the current assessment approaches are following manual-conducted processes, which can be laborious, time-consuming and costly. Therefore, this paper aims at developing a knowledge-based system for supporting an interoperability assessment process using an ontology as its knowledge model. The resulting system allows identifying potential interoperability problems and related solutions based on the knowledge model including information of the assessed enterprise(s). A real business case is presented for evaluating the proposed approach.     

Intrametropolitan planning for community-based residential care: a goals programming approach.

Small community-based residential facilities have increasingly supplanted large-scale institutions as treatment settings for mentally and physically disabled, indigent, elderly and ex-offender populations in the United States. Because the intrametropolitan assignment of these service-dependent populations and their community care facilities has not been purposively planned, most facilities and clients have clustered in inner cities, resulting in the formation of service-dependent population ghettos. This paper outlines a goals programming approach to the client/facility assignment problem. The model provides a basis for an intrametropolitan distribution of residential service facilities that balances equity and efficiency goals and that protects both client and community rights. A regional fair-share plan that incorporates negotiation and arbitration techniques is offered as an institutional mechanism for implementing the goals programming framework.     

中国城市居住分异的制度成因及其调控——基于住房供给的视角

从住房制度、土地制度、税收制度等方面分析了加剧中国城市居住分异的制度性因素,并通过对国外及香港地区相关制度的分析,提出了对我国城市居住分异进行制度性调控的建议,即一方面要运用经济手段对住房市场进行干预和调节,另一方面要完善现有的住房供应制度,坚持住房有分异,分异有尺度,以利于社会的和谐发展.     

Accounting for omitted variables in a discrete time panel data model of residential mobility

The problems of omitted variables in the empirical analysis of dynamic social processes is explained and alternative approaches to its solution briefly reviewed. The beta-logistic model of Heckman and Willis (1977) is introduced and then generalised for application to processes which include event history effects and time-varying covariates. The problem of initial conditions is explained. The generalised beta-logistic model is applied to residential mobility histories of households from the Michigan Panel Study of Income Dynamics.     

Estimable functions in age-period-cohort models: a unified approach

Age-period-cohort (APC) models have an intriguing appeal because each of these factors may be independently associated with age-period-specific rates (or other values). Unfortunately, one can not uniquely estimate the effects that generated the outcome data because these effects are linearly dependent. It is possible, however, to estimate certain linear combinations of these effects that are themselves unique estimates of the data generating parameters. The author demonstrates that all of the least square solutions for the APC model lie on a line in multidimensional solution space. This characteristic of the solutions to the APC model allows for a unified approach to the derivation of estimable functions, which is then used to derive the most prominent estimable functions in the APC literature and can be used to discover new ones.