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41 results found.

Econometrics Paper

Multivariate kernel regression in vector and product metric spaces

Marcia M Schafgans and Victoria Zinde-Walsh

Nonparametric kernel regression is widely used in econometrics and has been applied to models with cross-sectional, time series and panel data. As functional data analysis is gaining attention, our analysis extends to th...Read more...

9 May 2024

Econometrics Paper

Regression adjustment in randomized controlled trials with many covariates

Harold D Chiang, Yukitoshi Matsushita and Taisuke Otsu

This paper is concerned with estimation and inference on average treatment effects in randomized controlled trials when researchers observe potentially many covariates. By em- ploying Neyman’s (1923) finite population pe...Read more...

9 February 2023

Econometrics Paper

Regression discontinuity design with potentially many covariates

Yoichi Arai, Taisuke Otsu and Myung Hwan Seo

This paper studies the case of possibly high-dimensional covariates in the regression discontinuity design (RDD) analysis. In particular, we propose estimation and inference methods for the RDD models with covariate sele...Read more...

31 October 2022

Econometrics Paper

Second-order refinements for t-ratios with many instruments

Yukitoshi Matsushita and Taisuke Otsu

This paper studies second-order properties of the many instruments robust t-ratios based on the limited information maximum likelihood and Fuller estimators for instrumental variable regression models under the many inst...Read more...

12 May 2020

Econometrics Paper

Novel Approaches to Coherency Conditions in Dynamic LDV Models: Quantifying Financing Constraints and a Firm's Decision and Ability to Innovate

V A Hajivassiliou, Frédérique Savignac and Frédérique Savignac

We develop novel methods for establishing coherency conditions in Static and Dynamic Limited Dependent Variables (LDV) Models. We propose estimation strategies based on Conditional Maximum Likelihood Estimation for simul...Read more...

5 November 2019

Econometrics Paper

Nonparametric instrumental regression with errors in variables

Karun Adusumilli and Taisuke Otsu

This paper considers nonparametric instrumental variable regression when the endogenous variable is contaminated with classical measurement error. Existing methods are inconsistent in the presence of measurement error. W...Read more...

21 July 2015

Econometrics Paper

Robustness of bootstrap in instrumental variable regression

Lorenzo Camponovo and Taisuke Otsu

This paper studies robustness of bootstrap inference methods for instrumental variable (IV)regression models. We consider test statistics for parameter hypotheses based on the IV estimatorand generalized method of trimme...Read more...

21 January 2014

Econometrics Paper

Adapting Kernel Estimation to Uncertain Smoothness

Yulia Kotlyarova, Marcia M Schafgans and Victoria Zinde-Walsh

For local and average kernel based estimators, smoothness conditions ensure that the kernel order determines the rate at which the bias of the estimator goes to zero and thus allows the econometrician to control the rate...Read more...

April 2011

Econometrics Paper

Statistical Inference on Regression with Spatial Dependence

Peter M Robinson and Supachoke Thawornkaiwong

Central limit theorems are developed for instrumental variables estimates of linear and semi-parametric partly linear regression models for spatial data. General forms of spatial dependence and heterogeneity in explanato...Read more...

April 2010

Econometrics Paper

ESTIMATION OF A SEMIPARAMETRIC IGARCH(1,1) MODEL

Woocheol Kim and Oliver Linton

We propose a semiparametric IGARCH model that allows for persistence in variance but also allows for more flexible functional form. We assume that the difference of the squared process is weakly stationary. We propose an...Read more...

October 2009

Econometrics Paper

An Alternative Way of Computing Efficient Instrumental Variable Estimators

Xiaohong Chen, David T. Jacho-Chávez and Oliver Linton

A new way of constructing efficient semiparametric instrumental variable estimators is proposed. The method involves the combination of a large number of possibly inefficient estimators rather than combining the instrume...Read more...

June 2009

DARP Paper

The Class of Absolute Decomposable Inequality Measures

Kristof Bosmans and Frank A Cowell

We provide a parsimonious axiomatisation of the complete class of absolute nequality indices. Our approach uses only a weak form of decomposability and does not require a priori that the measures be differentiable. ...Read more...

February 2009

Econometrics Paper

ON DISCRETE SAMPLING OF TIME-VARYING CONTINUOUS-TIME SYSTEMS

Peter Robinson

We consider a multivariate continuous time process, generated by a system of linear stochastic differential equations, driven by white noise and involving coefficients that possibly vary over time. The process is observa...Read more...

June 2007

Econometrics Paper

SPECIFICATION TESTING FOR REGRESSION MODELS WITH DEPENDENT DATA

Javier Hidalgo

We describe and examine a consistent test for the correct specification of a regression function with dependent data. The test is based on the supremum of the difference between the parametric and nonparametric estimates...Read more...

May 2007

DARP Paper

Modelling Vulnerability in the UK

Sanghamitra Bandyopadhyay and Frank A Cowell

In this paper we examine the concept of 'vulnerability' (Townsend 1994) within the context of income mobility of the poor. We test for the dynamics of vulnerable households in the UK using Waves 1 - 12 of the British Hou...Read more...

February 2007

Econometrics Paper

ESTIMATING FEATURES OF A DISTRIBUTION FROM BINOMIAL DATA

Arthur Lewbel, Oliver Linton and DL McFadden

A statistical problem that arises in several fields is that of estimating the features of an unknown distribution, which may be conditioned on covariates, using a sample of binomial observations on whether draws from thi...Read more...

September 2006

Econometrics Paper

Instrumental Variables Estimation of Stationary and Nonstationary Cointegrating Regressions

Peter M Robinson and M. Gerolimetto

Instrumental variables estimation is classically employed to avoid simultaneous equations bias in a stable environment. Here we use it to improve upon ordinary least squares estimation of cointegrating regressions betwee...Read more...

April 2006

Econometrics Paper

Modified Whittle Estimation of Multilateral Models on a Lattice

Peter M Robinson and J Vidal Sanz

In the estimation of parametric models for stationary spatial or spatio-temporal data on a d-dimensional lattice, for d >= 2, the achievement of asymptotic efficiency under Gaussianity, and asymptotic normality more gene...Read more...

June 2005

Econometrics Paper

Forecasting the density of asset returns

Trino-Manuel Niguez and Javier Perote

In this paper we introduce a transformation of the Edgeworth-Sargan series expansion of the Gaussian distribution, that we call Positive Edgeworth-Sargan (PES). The main advantage of this new density is that it is well d...Read more...

October 2004

Econometrics Paper

ROBUST COVARIANCE MATRIX ESTIMATION: 'HAC' Estimates with Long Memory/Antipersistence Correction

Peter M Robinson

Smoothed nonparametric estimates of the spectral density matrix at zero frequency have been widely used in econometric inference, because they can consistently estimate the covariance matrix of a partial sum of a possibl...Read more...

March 2004

Theoretical Economics Paper

Unforeseen Contingencies

Nabil J Al-Najjar, Luca Anderlini and Leonardo Felli

We develop a model of unforeseen contingencies. These are contingencies that are understood by economic agents ' their consequences and probabilities are known' but are such that every description of such events necessar...Read more...

February 2002

DARP Paper

The Wild Bootstrap, Tamed at Last

Russell Davidson and Emmanuel Flachaire

Various versions of the wild bootstrap are studied as applied to regression models with heteroskedastic errors. It is shown that some versions can be qualified as 'tamed', in the sense that the statistic bootstrapped is ...Read more...

February 2001

DARP Paper

Galtonian Regression of Intergenerational Income Linkages: Biased Procedures, a New Estimator and Mean-Square Error Comparisons

Ramses H. Abul Naga

Because the permanent incomes of parents and children are typically unobserved, the estimation of the intergenerational correlation via the use of proxy variables entails an errors-in-variables bias. By solving a system ...Read more...

January 2001

Econometrics Paper

Nonparametric Censored and Truncated Regression

Arthur Lewbel and Oliver Linton

The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y = max[0,m(x) + e], where both the regression function m(x) and the distribution of the error e are unknown. This...Read more...

April 2000

Econometrics Paper

Adaptive Varying-Coefficient Linear Models

Zongwu Cai, Jianqin Fan and Qiwei Yao

Varying-coefficient linear models arise from multivariate nonparametric regression, nonlinear time series modelling and forecasting, functional data analysis, longitudinal data analysis, and others. It has been a common ...Read more...

April 2000

DARP Paper

Statistical Inference for Welfare under Complete and Incomplete Information, (published in Journal of Economic Inequality, vol. 1 (2003), pp. 191-219)

Frank A Cowell and Maria-Pia Victoria-Feser

We show how a collection of results in the literature on the empirical estimation of welfare indicators from sample data can be unified. We also demonstrate how some of these ideas can be extended to empirically importan...Read more...

December 1999

DARP Paper

Estimating the Intergenerational Correlation of Incomes: An Errors in Variables Framework

Ramses H. Abul Naga

The estimation of the intergenerational correlation of incomes is usually carried out by proxying permanent incomes using suitable indicators of economic status, and by treating the resulting measurement error problem us...Read more...

July 1999

Econometrics Paper

Testing for the Presence of a Random Walk in Series with Structural Breaks - (Now published in 'Journal of Time Series Analysis', 22 (2001), pp.127-150.)

Fabio Busetti and Andrew C Harvey

The paper considers tests for the presence of a random walk component in a stationary or trend stationary time series and extends them to series which contain structural breaks. The locally best invariant (LBI) test is d...Read more...

December 1998

CASEpaper

Income Dynamics in Germany, the USA and the UK: Evidence from Panel Data

Christian Schluter

This paper is about the distributional dynamics of net household income in Germany, the US and the UK. We reject the common wisdom that Germany is a country in statsis: stable cross-sectional distributions are deceptive,...Read more...

June 1998

Econometrics Paper

Interpolating Exogenous Variables in Open Continuous Time Dynamic Models

J R McCrorie

As the exact discrete model induced by an open continuous time system depends on the continous time paths of the exogenous variables, these need to be interpolated for the purpose of estimation. We examine some recently ...Read more...

December 1997

Econometrics Paper

Some Practical Issues in Maximum Simulated Likelihood

V A Hajivassiliou

In this paper, I explore ways of recapturing the efficiency property for estimators that rely on simulation. In particular, I show that this can be achieved by exploiting two-step maximum stimulated likelihood (SL) estim...Read more...

November 1997

DARP Paper

Prediction and Sufficiency in the Model Factor Analysis

Ramses H. Abul Naga

We contrast two approaches to the prediction of latent variables in the model of factor analysis. The likelihood statistic is a sufficient statistic for the unobservables when sampling arises from the exponential family ...Read more...

November 1997

Econometrics Paper

Inference-without-Smoothing in the Presence of Nonparametric Autocorrelation - (Now published in 'Econometrica', 66 (1998), pp.1163-1182.)

Peter M Robinson

In a number of econometric models, rules of large-sample inference require a consistent estimate of f(0), where f (?) is the spectral density matrix of yt = ut?xt, for covariance stationary vectors ut, xt. Typically yt i...Read more...

October 1997

Econometrics Paper

The Method of Simulated Scores for the Estimation of LDV Models

V A Hajivassiliou and DL McFadden

The method of simulated scores (MSS) is presented for estimating limited dependent variables models (LDV) with flexible correlation structure in the unobservables. We propose simulators that are continuous in the unknown...Read more...

May 1997

DARP Paper

On the Non-Stationarity of German Income Mobility (and some observations on poverty dynamics)

Christian Schluter

The intra-distributional mobility of German income dynamics is analysed using GSOEP. Transition probabilities are found to be time-varying. The tested models comprise various mixed Markov chains in discrete time and a no...Read more...

April 1997

Econometrics Paper

Autocorrelation-Robust Inference - (Now published in 'Handbook of Statistics', vol.15, G S Maddala and C R Rao (eds), Elsevier Science Publishers BV (1997), pp.267-298.)

Peter M Robinson and Carlos Velasco

We consider statistical inference in the presence of serial dependence. The main focus is on use of statistics that are constructed as if no dependence were believed present, and are asymptotically normal in the presence...Read more...

December 1996

Econometrics Paper

Testing for a Slowly Changing Level with Special Reference to Stochastic Volatility - (Now published in 'Journal of Econometrics', 87 (1998), pp.167-189.)

Andrew C Harvey and Mariane Streibel

A test for the presence of a stationary first-order autoregressive process embedded in white noise is constructed so as to be relatively powerful when the autoregressive parameter is close to one. This is done by setting...Read more...

March 1996

Econometrics Paper

Spectral Analysis for Bivariate Time Series with Long Memory - (Now published in 'Econometric Theory',12 (1997)pp.773-792.)

Javier Hidalgo

This paper provides limit theorems for special density matrix estimators and functionals of it for a bivariate co variance stationary process whose spectral density matrix has singularities not only at the origin but pos...Read more...

February 1996

DARP Paper

Identifying the Poor: A Multiple Indicator Approach

Ramses H. Abul Naga

The standard approach to the study of poverty assumes the existence of an ideal variable that captures the extent of deprivation. In this paper we postulate that poverty is involved with many dimensions. We use a latent ...Read more...

June 1994

Econometrics Paper

The Multivariate Invariance Principle for Globally Nonstationary Processes, with an Application to I(2) Models

James Davidson

A multivariate invariance principle is given for dependent processes exhibiting trending variances and other types of global nonstationarity. The limit processes obtained in these results are not Brownian motion, but mem...Read more...

1993

Econometrics Paper

Quasi-Maximum Likelihood Estimation of Stochastic Variance Models

Esther Ruiz

Changes in variance or volatility over time can be modelled using stochastic volatility (SV) models. This approach is based on treating the variance as an unobservable variable, the logarithm of which is modelled as a li...Read more...

1992