Econometrics Commons^™

New York Camp Econometrics Ii Program, Center For Policy Research

Camp Econometrics-Programs

No abstract provided.

Cost Growth In Weapons Systems: Re-Examining Rubber Baselines And Ecomonic Factors, Philip E. Ruter Ii

Theses and Dissertations

This paper will evaluate cost overruns from a microeconomic perspective to determine their root causes. The specific variables that will be evaluated are: contract budget fluctuations, contract length, inflation, procurement budget fluctuation, research and development budget fluctuation, the technology readiness of the commodity, and industry concentration. These variables will be evaluated twice. The first evaluation will consist of a binary choice model to determine whether or not the dependent variables influence the likelihood of a cost overrun. The specific form of the evaluation will take the form of a probit regression in which an independent variable value of zero indicates …

Rhode Island Current Conditions Index — March 2007, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Long Run Variance Estimation And Robust Regression Testing Using Sharp Origin Kernels With No Truncation, Peter C. B. Phillips, Yixiao Sun, Sainan Jin

Research Collection School Of Economics

A new family of kernels is suggested for use in long run variance (LRV) estimation and robust regression testing. The kernels are constructed by taking powers of the Bartlett kernel and are intended to be used with no truncation (or bandwidth) parameter. As the power parameter ([rho]) increases, the kernels become very sharp at the origin and increasingly downweight values away from the origin, thereby achieving effects similar to a bandwidth parameter. Sharp origin kernels can be used in regression testing in much the same way as conventional kernels with no truncation, as suggested in the work of Kiefer and …

Bias In Dynamic Panel Estimation With Fixed Effects, Incidental Trends And Cross Section Dependence, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

Explicit asymptotic bias formulae are given for dynamic panel regression estimators as the cross section sample size N --> ∞. The results extend earlier work by Nickell [1981. Biases in dynamic models with fixed effects. Econometrica 49, 1417-1426] and later authors in several directions that are relevant for practical work, including models with unit roots, deterministic trends, predetermined and exogenous regressors, and errors that may be cross sectionally dependent. The asymptotic bias is found to be so large when incidental linear trends are fitted and the time series sample size is small that it changes the sign of the autoregressive …

An Analysis Of Attendance At Major League Baseball Spring Training Games, Michael R. Donihue, David Findlay, Peter Newberry

Faculty Scholarship

This paper examines the determinants of game-day attendance during Major League Baseball’s 2002 spring training season in Florida. Our model of game-day attendance includes location, quality of game, and time and weather variables. A censored Tobit estimation procedure is used to estimate our model. Our results indicate that the quality of the game, average ticket price, and several location-specific factors affect attendance. Specifically, our results suggest that changes in income have no effect on attendance while increases in ticket prices cause reductions in attendance. Furthermore, the estimated price elasticity of demand for Major League Baseball during the spring training season …

Rhode Island Current Conditions Index — February 2007, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Monotonicity Conditions And Inequality Imputation For Sample-Selection And Non-Response Problems, Myoung-Jae Lee

Research Collection School Of Economics

Under a sample selection or non-response problem, where a response variable y is observed only when a condition δ = 1 is met, the identified mean E(y|δ = 1) is not equal to the desired mean E(y). But the monotonicity condition E(y|δ = 1) ≤ E(y|δ = 0) yields an informative bound E(y|δ = 1) ≤ E(y), which is enough for certain inferences. For example, in a majority voting with δ being the vote-turnout, it is enough to know if E(y) > 0.5 or not, for which E(y|δ = 1) > 0.5 is sufficient under the monotonicity. The main question is then …

Rhode Island Current Conditions Index — January 2007, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Moving Window Unit Root Test: Locating Real Estate Price Bubbles In Seoul Apartment Market, Shuping Shi

Dissertations and Theses Collection (Open Access)

Bubbles are characterized by rapid expansion followed by a contraction. Evans (1991) shows that stationarity tests suggested by Hamilton and Whiteman (1985) and Diba and Grossman (1988) are incapable of detecting periodically collapsing bubbles. Phillips, Wu, and Yu (2006) advanced the forward recursive unit root test which improves the power significantly in the presence of periodically collapsing bubbles. In this paper, we consider rolling window unit root test with a pre-selected optimum window. A combining use of conventional unit root test and forward recursive unit root test is suggested from the results of power comparison. Furthermore, we apply those three …

Regional Trade Agreements Revisited, Hui Chin Tan

Dissertations and Theses Collection (Open Access)

The gravity model is a workhorse for econometric studies of the impact of regional trade agreements (RTAs). Despite its initial lack of theoretical basis, the model has been successfully derived from various trade theories. The latest theoretical derivation by Anderson and van Wincoop (2003) reveals that prior gravity studies have made the critical error of omitting the multilateral resistance variable, which results in biased estimates. Other recent studies have highlighted empirical issues with the commonly used procedure of log-linearizing the gravity model and estimating the parameters using Ordinary Least Squares (OLS) regression. Silva and Tenreyro (2006) point out that this …

Classified Boards And Firm Value, Michael D. Frakes

Faculty Scholarship

Classified boards constitute one of the most potent takeover defenses for U.S. firms today. However, as with takeover defenses more generally, economic theory offers an ambiguous prediction as to the effect that classified boards have on bottom-line firm value. A resolution of this ambiguity will require sound and convincing empirical methodology. In an effort to address limitations in the existing empirical literature, this article approaches the relationship between corporate governance and firm value while taking various measures to account for unobserved sources of heterogeneity across firms. Using the instrumental variables model developed by Hausman and Taylor, I find evidence of …

A Monte Carlo Study For Pure And Pretest Estimators Of A Panel Data Model With Spatially Auto Correlated Disturbances, Badi H. Baltagi, Peter Egger, Michael Pfaffermayr

Center for Policy Research

This paper examines the consequences of model misspecification using a panel data model with spatially auto correlated disturbances. The performance of several maximum likelihood estimators assuming different specifications for this model are compared using Monte Carlo experiments. These include (i) MLE of a random effects model that ignore the spatial correlation; (ii) MLE described in Anselin (1988) which assumes that the individual effects are not spatially auto correlated; (iii) MLE described in Kapoor et al. (2006) which assumes that both the individual effects and the remainder error are governed by the same spatial autocorrelation; (iv) MLE described in Baltagi et …

Economic Growth And The Interests Of Future (And Past And Present) Generations: A Comment On Tyler Cowen, Matthew D. Adler

Faculty Scholarship

No abstract provided.

A Monte Carlo Study Of Efficiency Estimates From Frontier Models, William Clinton Horrace, Seth O. Richards

Center for Policy Research

Parametric stochastic frontier models yield firm-level conditional distributions of inefficiency that are truncated normal. Given these distributions, how should one assess and rank firm-level efficiency? This study compares the techniques of estimated (a) the conditional means of inefficiency and (b) probabilities that firms are most or least efficient. Monte Carlo experiments suggest that the efficiency probabilities are more reliable in terms of mean absolute percent error when inefficiency has large variation across firms. Along the way we tackle some interesting problems associated with simulating and assessing estimator performance in the stochastic frontier environment.

Copula-Based Tests For Cross-Sectional Independence In Panel Models, Chihwa Kao, Giovanni Urga

Center for Policy Research

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Testing For Instability In Factor Structure Of Yield Curves, Dennis Philip, Chihwa Kao, Giovanni Urga

Center for Policy Research

A widely relied upon but a formally untested consideration is the issue of stability in actors underlying the term structure of interest rates. In testing for stability, practitioners as well as academics have employed ad hoc techniques such as splitting the sample into a few sub-periods and determining whether the factor loadings have appeared to be similar over all sub-periods. Various authors have found mixed evidence on stability in the actors. In this paper we develop a formal testing procedure to evaluate the factor structure stability of the US zero coupon yield term structure. We find the factor structure of …

Open Vs Sealed Bid Auctions: Testing For Revenue Equivalence Under Singapore's Vehicle Quota System, Roberto S. Mariano, Winston T. H. Koh, Yiu Kuen Tse

Research Collection School Of Economics

Using data from the auction of vehicle quota licenses in Singapore, we study if revenue equivalence holds when the auction format was switched from a sealed-bid format (May 1990 to June 2001) to an open bidding format since July 2001. Our econometric analysis indicates the change in auction format led to a change in bidding behavior. On average, the quota license premium under the open bidding format is about US$1000 (about 7.5% of the Category E license price in June 2001) lower, compared to the forecast level that would have prevailed if there had been no change in the auction …

Indirect Inference For Dynamic Panel Models, Christian Gourieroux, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

Maximum likelihood (ML) estimation of the autoregressive parameter of a dynamic panel data model with fixed effects is inconsistent under fixed time series sample size and large cross section sample size asymptotics. This paper proposes a general, computationally inexpensive method of bias reduction that is based on indirect inference, shows unbiasedness and analyzes efficiency. Monte Carlo studies show that our procedure achieves substantial bias reductions with only mild increases in variance, thereby substantially reducing root mean square errors. The method is compared with certain consistent estimators and is shown to have superior finite sample properties to the generalized method of …

Net Injectors Of Purchasing Power, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Credit and inflation template [Annotated spreadsheet packet compiling IFS banking data, domestic credit, GDP, trade, inflation, unemployment, and related analytical charts]. (2007, December 19).
• International Monetary Fund. (2000). Monetary and financial statistics manual [Annotated excerpt from Chapters VI-VII on money, credit, debt, and the framework for monetary statistics].
• Kucera, J., & Shaikh, A. (2007, December 9-17). Re: IFS categories [Annotated email thread on banking surveys, credit flows, high-powered money, and trade credit].
• Summary of IFS data [Handwritten working notes on banking-survey categories and domestic-credit calculations]. (ca. 2005, December 18).
• International Monetary Fund. (1995). International financial statistics yearbook: …

Aggregate Production Functions, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes.

• Aggregate production functions and the measurement of infrastructure productivity: A reassessment. (2000, November 1). [Unpublished manuscript].

• Correcting for biases when estimating production functions: An illusion of the laws of algebra? (2007, August 9). [Unpublished Cambridge Journal of Economics referee report]. Manuscript.

Limit Theory For Moderate Deviations From A Unit Root Under Weak Dependence, Peter C. B. Phillips, Tassos Magadalinos

Research Collection School Of Economics

An asymptotic theory is given for autoregressive time series with weakly dependent innovations and a root of the form rho_{n} = 1+c/n^{alpha}, involving moderate deviations from unity when alpha in (0,1) and c in R are constant parameters. The limit theory combines a functional law to a diffusion on D[0,infinity) and a central limit theorem. For c > 0, the limit theory of the first order serial correlation coefficient is Cauchy and is invariant to both the distribution and the dependence structure of the innovations. To our knowledge, this is the first invariance principle of its kind for explosive processes. The …

Worldwide Econometrics Rankings: 1989-2005, Badi H. Baltagi

Center for Policy Research

This paper updates Baltagi's (2003, Econometric Theory 19, 165-224) rankings of academic institutions by publication activity in econometrics from 1989-1999 to 1989-2005. This ranking is based on 16 leading international journals that publish econometrics articles. It is compared with the prior rankings by Hall (1980, 1987) for the period 1980-1988. In addition, a list of the top 150 individual producers of econometrics in these 16 journals over this 17-year period is provided. This is done for theoretical econometrics as well as all contributions in econometrics. Sensitivity analysis is provided using (i) alternative weighting factors given to the 16 journals taking …

Panel Cointegration With Global Stochastic Trends, Jushan Bai, Chihwa Kao, Serena Ng

Center for Policy Research

This paper studies estimation of panel cointegration models with cross-sectional dependence generated by unobserved global stochastic trends. The standard least squares estimator is, in general, inconsistent owing to the spuriousness induced by the unobservable I(1) trends. We propose two iterative procedures that jointly estimate the slope parameters and the stochastic trends. The resulting estimators are referred to respectively as CupBC (continuously updated and bias-corrected) and the CupFM (continuously updated and fully modified) estimators. We establish their consistency and derive their limiting distributions. Both are asymptotically unbiased and asymptotically normal and permit inference to be conducted using standard test statistics. The …

Counterfeiting Truth: Statistical Reporting On The Basis Of Trust, David M. Levy, Sandra J. Peart

Jepson School of Leadership Studies articles, book chapters and other publications

Semantics and game theory offer modern approaches to very old problems.¹ David Lewis introduced game theoretic concepts into the study of language in his examination of conventions.² In this chapter we study the language of a specific sort of conventions: statistical estimators. Such estimators have the important property of being both well-defined mathematical objects and devices that form the basis of factual claims asserted and, perhaps, believed by rational agents.³ The convention we analyze allows econometric reporting to proceed on the basis of trust.⁴ In contrast with Lewis, we shall demonstrate that such a convention is …

Temporal Aggregation And Risk-Return Relation, Jin Xing, Leping Wang, Jun Yu

Research Collection School Of Economics

The function form of a linear intertemporal relation between risk and return is suggested by Merton's [1973. Econometrica 41, 867–887] analytical work for instantaneous returns, whereas empirical studies have examined the nature of this relation using temporally aggregated data, i.e., daily, monthly, quarterly, or even yearly returns. Our paper carefully examines the temporal aggregation effect on the validity of the linear specification of the risk–return relation at discrete horizons, and on its implications on the reliability of the resulting inference about the risk–return relation based on different observation intervals. Surprisingly, we show that, based on the standard Heston's [1993. Review …

Temporal Aggregation And Risk-Return Relation, Xing Jin, Leping Wang, Jun Yu

Research Collection School Of Economics

The function form of a linear intertemporal relation between risk and return is suggested by Merton's [1973. Econometrica 41, 867–887] analytical work for instantaneous returns, whereas empirical studies have examined the nature of this relation using temporally aggregated data, i.e., daily, monthly, quarterly, or even yearly returns. Our paper carefully examines the temporal aggregation effect on the validity of the linear specification of the risk–return relation at discrete horizons, and on its implications on the reliability of the resulting inference about the risk–return relation based on different observation intervals. Surprisingly, we show that, based on the standard Heston's [1993. Review …

Modeling Transaction Data Of Trade Direction And Estimation Of Probability Of Informed Trading, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitch Warachka

Research Collection School Of Economics

This paper implements the Asymmetric AutoregressiveConditional Duration (AACD) model of Bauwens and Giot (2003) to analyzeirregularly spaced transaction data of trade direction, namely buy versus sellorders. We examine the influence of lagged transaction duration, lagged volumeand lagged trade direction on transaction duration and direction. Our resultsare applied to estimate the probability of informed trading (PIN) based on theEasley, Hvidkjaer and O’Hara (2002) framework. Unlike the Easley-Hvidkjaer-O’Hara model, which uses the daily aggregate number of buy and sellorders, the AACD model makes full use of transaction data and allows forinteractions between buy and sell orders.

Statistics With Estimated Parameters, Zhenlin Yang, Yiu Kuen Tse, Zhidong Bai

Research Collection School Of Economics

This paper studies a general problem of making inferences for functions of two sets of parameters where, when the first set is given, there exists a statistic with a known distribution. We study the distribution of this statistic when the first set of parameters is unknown and is replaced by an estimator. We show that under mild conditions the variance of the statistic is inflated when the unconstrained maximum likelihood estimator (MLE) is used, but deflated when the constrained MLE is used. The results are shown to be useful in hypothesis testing and confidence-interval construction in providing simpler and improved …

Inflation, Theory And Data, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Capacity utilization and output gap measures in inflation theory by Anwar Shaikh
• Inflation theory empirical test US by Anwar Shaikh
• Definitions of domestic credit and depository corporations survey by an anonymous interlocutor
• My inflation model by Anwar Shaikh
• Theories of demand-led inflation by Anwar Shaikh
• Credit and GDP patterns by Anwar Shaikh
• Stock-flow accounts and turbulent macrodynamics by Anwar Shaikh