Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined

This paper evaluates the performance of alternative estimators of the gravity equation when zero trade flows result from economically-based data-generating processes with heteroscedastic residuals and potentially-omitted variables. In a standard Mo...

Full description

Bibliographic Details
Main Authors: Martin, Will, Pham, Cong S.
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2015
Subjects:
GDP
Online Access:http://documents.worldbank.org/curated/en/2015/06/24641545/estimating-gravity-model-zero-trade-flows-frequent-economically-determined
http://hdl.handle.net/10986/22182
id okr-10986-22182
recordtype oai_dc
spelling okr-10986-221822021-04-23T14:04:07Z Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined Martin, Will Pham, Cong S. PANEL DATA VARIABILITY REGRESSION MODEL MINIMIZATION ERRORS BINOMIAL DISTRIBUTION COEFFICIENTS LIMITED DEPENDENT VARIABLE NORMAL DISTRIBUTION DUMMY VARIABLES GDP PER CAPITA INFORMATION LINEAR FUNCTION EXPORTS ELASTICITY TRADE FLOWS LOGARITHMS DISTRIBUTION GRAVITY MODEL VARIABLES DEGREES OF FREEDOM ECONOMETRIC METHODS NONLINEARITY EXOGENOUS REGRESSORS NONLINEAR MODELS DUMMY VARIABLE NUMBER OF OBSERVATIONS PROBABILITIES PREFERENTIAL ACCESS INDEPENDENT VARIABLES CLASSIFICATIONS VARIABLE ESTIMATION KNOWLEDGE EMPIRICAL ANALYSIS BIASES MONTE CARLO SIMULATION GOODNESS OF FIT STANDARD DEVIATION DATA MAXIMUM LIKELIHOOD STEP ESTIMATOR LAY OUT EXOGENOUS VARIABLES TRADE BLOCS DECISION TREE PROBABILITY NOTATION LINEAR MODELS ECONOMETRICS CLUSTERING STANDARD ERRORS CASES CRITERIA LINEAR PROBABILITY MATRIX EXPLANATORY VARIABLES POSITIVE OBSERVATIONS ACCESS INDICATORS RESEARCH ARTICLE LIKELIHOOD FUNCTION ECONOMETRIC PROBLEMS LARGE NUMBER VOLUME OF TRADE RANDOM VARIABLES GRAVITY EQUATION ECONOMIC RESEARCH ERROR VARIANCE SELECTION MODEL LIMITED DEPENDENT VARIABLES MODEL RESULTS ECONOMIC SURVEYS INTERNATIONAL TRADE ECONOMETRIC ANALYSIS VALIDITY DESCRIPTION VALUE DEPENDENT VARIABLE POISSON DISTRIBUTION DISTRIBUTION FUNCTION LIKELIHOOD RATIO ERROR TERMS GAMMA DISTRIBUTION INDEX COEFFICIENT VECTOR EXPECTED VALUE DEPENDENT VARIABLES RESEARCHERS AGRICULTURE CORRELATION EQUATIONS STANDARD NORMAL DISTRIBUTION SAMPLES ERROR TERM MEASUREMENT ECONOMIC THEORY CONSTANT VARIANCE ASYMPTOTICALLY EQUIVALENT SURVEYS ECONOMICS ECONOMIC MODELS CASE LOG-LIKELIHOOD FUNCTION HETEROSCEDASTICITY INTEGER VALUES FIXED EFFECTS FUNCTIONAL FORMS JOURNAL OF ECONOMETRICS TRADE GDP THEORY BILATERAL TRADE STATISTICS EVALUATION STATA TRADE THEORIES PRECISION STANDARD ERROR WEBSITE SAMPLE SELECTION MAXIMUM LIKELIHOOD ESTIMATOR HOMOSCEDASTICITY LINEAR PROBABILITY MODEL RANDOM VARIABLE LINEAR REGRESSION ECONOMIC STATISTICS DEVELOPMENT POLICY This paper evaluates the performance of alternative estimators of the gravity equation when zero trade flows result from economically-based data-generating processes with heteroscedastic residuals and potentially-omitted variables. In a standard Monte Carlo analysis, the paper finds that this combination can create seriously biased estimates in gravity models with frequencies of zero frequently observed in real-world data, and that Poisson Pseudo-Maximum-Likelihood models can be important in solving this problem. Standard threshold–Tobit estimators perform well in a Tobit-based data-generating process only if the analysis deals with the heteroscedasticity problem. When the data are generated by a Heckman sample selection model, the Zero-Inflated Poisson model appears to have the lowest bias. When the data are generated by a Helpman, Melitz, and Rubinstein-type model with heterogeneous firms, a Zero-Inflated Poisson estimator including firm numbers appears to provide the best results. Testing on real-world data for total trade throws up additional puzzles with truncated Poisson Pseudo-Maximum-Likelihood and Poisson Pseudo-Maximum-Likelihood estimators being very similar, and Zero-Inflated Poisson and truncated Poisson Pseudo-Maximum-Likelihood identical. Repeating the Monte Carlo analysis taking into account the high frequency of very small predicted trade flows in real-world data reconciles these findings and leads to specific recommendations for estimators. 2015-07-16T18:24:18Z 2015-07-16T18:24:18Z 2015-06 Working Paper http://documents.worldbank.org/curated/en/2015/06/24641545/estimating-gravity-model-zero-trade-flows-frequent-economically-determined http://hdl.handle.net/10986/22182 English en_US Policy Research Working Paper;No. 7308 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic PANEL DATA
VARIABILITY
REGRESSION MODEL
MINIMIZATION
ERRORS
BINOMIAL DISTRIBUTION
COEFFICIENTS
LIMITED DEPENDENT VARIABLE
NORMAL DISTRIBUTION
DUMMY VARIABLES
GDP PER CAPITA
INFORMATION
LINEAR FUNCTION
EXPORTS
ELASTICITY
TRADE FLOWS
LOGARITHMS
DISTRIBUTION
GRAVITY MODEL
VARIABLES
DEGREES OF FREEDOM
ECONOMETRIC METHODS
NONLINEARITY
EXOGENOUS REGRESSORS
NONLINEAR MODELS
DUMMY VARIABLE
NUMBER OF OBSERVATIONS
PROBABILITIES
PREFERENTIAL ACCESS
INDEPENDENT VARIABLES
CLASSIFICATIONS
VARIABLE ESTIMATION
KNOWLEDGE
EMPIRICAL ANALYSIS
BIASES
MONTE CARLO SIMULATION
GOODNESS OF FIT
STANDARD DEVIATION
DATA
MAXIMUM LIKELIHOOD
STEP ESTIMATOR
LAY OUT
EXOGENOUS VARIABLES
TRADE BLOCS
DECISION TREE
PROBABILITY
NOTATION
LINEAR MODELS
ECONOMETRICS
CLUSTERING
STANDARD ERRORS
CASES
CRITERIA
LINEAR PROBABILITY
MATRIX
EXPLANATORY VARIABLES
POSITIVE OBSERVATIONS
ACCESS
INDICATORS
RESEARCH
ARTICLE
LIKELIHOOD FUNCTION
ECONOMETRIC PROBLEMS
LARGE NUMBER
VOLUME OF TRADE
RANDOM VARIABLES
GRAVITY EQUATION
ECONOMIC RESEARCH
ERROR VARIANCE
SELECTION MODEL
LIMITED DEPENDENT VARIABLES
MODEL RESULTS
ECONOMIC SURVEYS
INTERNATIONAL TRADE
ECONOMETRIC ANALYSIS
VALIDITY
DESCRIPTION
VALUE
DEPENDENT VARIABLE
POISSON DISTRIBUTION
DISTRIBUTION FUNCTION
LIKELIHOOD RATIO
ERROR TERMS
GAMMA DISTRIBUTION
INDEX
COEFFICIENT VECTOR
EXPECTED VALUE
DEPENDENT VARIABLES
RESEARCHERS
AGRICULTURE
CORRELATION
EQUATIONS
STANDARD NORMAL DISTRIBUTION
SAMPLES
ERROR TERM
MEASUREMENT
ECONOMIC THEORY
CONSTANT VARIANCE
ASYMPTOTICALLY EQUIVALENT
SURVEYS
ECONOMICS
ECONOMIC MODELS
CASE
LOG-LIKELIHOOD FUNCTION
HETEROSCEDASTICITY
INTEGER VALUES
FIXED EFFECTS
FUNCTIONAL FORMS
JOURNAL OF ECONOMETRICS
TRADE
GDP
THEORY
BILATERAL TRADE
STATISTICS
EVALUATION
STATA
TRADE THEORIES
PRECISION
STANDARD
ERROR
WEBSITE
SAMPLE SELECTION
MAXIMUM LIKELIHOOD ESTIMATOR
HOMOSCEDASTICITY
LINEAR PROBABILITY MODEL
RANDOM VARIABLE
LINEAR REGRESSION
ECONOMIC STATISTICS
DEVELOPMENT POLICY
spellingShingle PANEL DATA
VARIABILITY
REGRESSION MODEL
MINIMIZATION
ERRORS
BINOMIAL DISTRIBUTION
COEFFICIENTS
LIMITED DEPENDENT VARIABLE
NORMAL DISTRIBUTION
DUMMY VARIABLES
GDP PER CAPITA
INFORMATION
LINEAR FUNCTION
EXPORTS
ELASTICITY
TRADE FLOWS
LOGARITHMS
DISTRIBUTION
GRAVITY MODEL
VARIABLES
DEGREES OF FREEDOM
ECONOMETRIC METHODS
NONLINEARITY
EXOGENOUS REGRESSORS
NONLINEAR MODELS
DUMMY VARIABLE
NUMBER OF OBSERVATIONS
PROBABILITIES
PREFERENTIAL ACCESS
INDEPENDENT VARIABLES
CLASSIFICATIONS
VARIABLE ESTIMATION
KNOWLEDGE
EMPIRICAL ANALYSIS
BIASES
MONTE CARLO SIMULATION
GOODNESS OF FIT
STANDARD DEVIATION
DATA
MAXIMUM LIKELIHOOD
STEP ESTIMATOR
LAY OUT
EXOGENOUS VARIABLES
TRADE BLOCS
DECISION TREE
PROBABILITY
NOTATION
LINEAR MODELS
ECONOMETRICS
CLUSTERING
STANDARD ERRORS
CASES
CRITERIA
LINEAR PROBABILITY
MATRIX
EXPLANATORY VARIABLES
POSITIVE OBSERVATIONS
ACCESS
INDICATORS
RESEARCH
ARTICLE
LIKELIHOOD FUNCTION
ECONOMETRIC PROBLEMS
LARGE NUMBER
VOLUME OF TRADE
RANDOM VARIABLES
GRAVITY EQUATION
ECONOMIC RESEARCH
ERROR VARIANCE
SELECTION MODEL
LIMITED DEPENDENT VARIABLES
MODEL RESULTS
ECONOMIC SURVEYS
INTERNATIONAL TRADE
ECONOMETRIC ANALYSIS
VALIDITY
DESCRIPTION
VALUE
DEPENDENT VARIABLE
POISSON DISTRIBUTION
DISTRIBUTION FUNCTION
LIKELIHOOD RATIO
ERROR TERMS
GAMMA DISTRIBUTION
INDEX
COEFFICIENT VECTOR
EXPECTED VALUE
DEPENDENT VARIABLES
RESEARCHERS
AGRICULTURE
CORRELATION
EQUATIONS
STANDARD NORMAL DISTRIBUTION
SAMPLES
ERROR TERM
MEASUREMENT
ECONOMIC THEORY
CONSTANT VARIANCE
ASYMPTOTICALLY EQUIVALENT
SURVEYS
ECONOMICS
ECONOMIC MODELS
CASE
LOG-LIKELIHOOD FUNCTION
HETEROSCEDASTICITY
INTEGER VALUES
FIXED EFFECTS
FUNCTIONAL FORMS
JOURNAL OF ECONOMETRICS
TRADE
GDP
THEORY
BILATERAL TRADE
STATISTICS
EVALUATION
STATA
TRADE THEORIES
PRECISION
STANDARD
ERROR
WEBSITE
SAMPLE SELECTION
MAXIMUM LIKELIHOOD ESTIMATOR
HOMOSCEDASTICITY
LINEAR PROBABILITY MODEL
RANDOM VARIABLE
LINEAR REGRESSION
ECONOMIC STATISTICS
DEVELOPMENT POLICY
Martin, Will
Pham, Cong S.
Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined
relation Policy Research Working Paper;No. 7308
description This paper evaluates the performance of alternative estimators of the gravity equation when zero trade flows result from economically-based data-generating processes with heteroscedastic residuals and potentially-omitted variables. In a standard Monte Carlo analysis, the paper finds that this combination can create seriously biased estimates in gravity models with frequencies of zero frequently observed in real-world data, and that Poisson Pseudo-Maximum-Likelihood models can be important in solving this problem. Standard threshold–Tobit estimators perform well in a Tobit-based data-generating process only if the analysis deals with the heteroscedasticity problem. When the data are generated by a Heckman sample selection model, the Zero-Inflated Poisson model appears to have the lowest bias. When the data are generated by a Helpman, Melitz, and Rubinstein-type model with heterogeneous firms, a Zero-Inflated Poisson estimator including firm numbers appears to provide the best results. Testing on real-world data for total trade throws up additional puzzles with truncated Poisson Pseudo-Maximum-Likelihood and Poisson Pseudo-Maximum-Likelihood estimators being very similar, and Zero-Inflated Poisson and truncated Poisson Pseudo-Maximum-Likelihood identical. Repeating the Monte Carlo analysis taking into account the high frequency of very small predicted trade flows in real-world data reconciles these findings and leads to specific recommendations for estimators.
format Working Paper
author Martin, Will
Pham, Cong S.
author_facet Martin, Will
Pham, Cong S.
author_sort Martin, Will
title Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined
title_short Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined
title_full Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined
title_fullStr Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined
title_full_unstemmed Estimating the Gravity Model When Zero Trade Flows are Frequent and Economically Determined
title_sort estimating the gravity model when zero trade flows are frequent and economically determined
publisher World Bank, Washington, DC
publishDate 2015
url http://documents.worldbank.org/curated/en/2015/06/24641545/estimating-gravity-model-zero-trade-flows-frequent-economically-determined
http://hdl.handle.net/10986/22182
_version_ 1764450373765955584