The Experts below are selected from a list of 61830 Experts worldwide ranked by ideXlab platform
Min Chen - One of the best experts on this subject based on the ideXlab platform.
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Does economic Endogeneity of site facilities in recreation demand models lead to statistical Endogeneity
2020Co-Authors: Min Chen, Frank LupiAbstract:Different kinds of Endogeneity problems in Random Utility Models of recreation demand have been studied in previous literature. Some site characteristics, like facilities, could be endogenous in an economic sense due to the interplay of supply and demand. That is, it may be that more popular recreation sites tend to have better site characteristics since managers with limited budgets would be more willing to invest in them. If recreation site improvements are more likely to occur at the more popular sites, then might this economic Endogeneity cause problems for econometric models linking site demand to facilities. In this paper, we use Monte Carlo simulations to test whether this economic Endogeneity will lead to statistical Endogeneity.
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Does Economic Endogeneity of Site Facilities in Recreation Demand Models Lead to Statistical Endogeneity
2020Co-Authors: Min ChenAbstract:Random Utility Models of recreation demand are widely used to relate demand and value to the characteristics of recreation sites. Although some kinds of Endogeneity problems have been studied in previous literature, no study has addressed the potential problem with site characteristics that are endogenously supplied. Some site characteristics, like facilities, could be endogenous in an economic sense due to the interplay of supply and demand. That is, more popular recreation sites tend to have better site characteristics since managers with limited budgets would be more willing to invest in them. If recreation site improvements are more likely to occur at the more popular sites, then this economic Endogeneity might cause problems for econometric models linking site demand to facilities. In this paper, we use Monte Carlo simulations to investigate under what situations this economic Endogeneity will lead to statistical Endogeneity.
Marin Bozic - One of the best experts on this subject based on the ideXlab platform.
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On Price Endogeneity in the Analysis of Food Demand in China
2020Co-Authors: Vardges Hovhannisyan, Marin BozicAbstract:Price Endogeneity has been ignored in previous analyses of food demand in China. We exploit farm price data collected from the China National Bureau of Statistics to account for price Endogeneity using reduced form price equations. Applying our unique econometric approach to the analysis of provincial-level food demand in China, we find strong statistical evidence of price Endogeneity. Models that ignore price Endogeneity result in substantial upward biased estimates of future food demand in China.
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Price Endogeneity and Food Demand in Urban China
Journal of Agricultural Economics, 2016Co-Authors: Vardges Hovhannisyan, Marin BozicAbstract:Price Endogeneity has been ignored in previous analyses of food demand in urban China. We exploit data provided by the China National Bureau of Statistics on agricultural commodity supply shifters and use reduced-form price equations to account for price Endogeneity. Applying our unique econometric approach to the analysis of provincial-level food demand in China, we find strong statistical evidence of price Endogeneity. Models that ignore price Endogeneity result in substantially biased elasticities and misleading estimates of future food demand in China.
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On Price Endogeneity in the Analysis of Food Demand in China
2013Co-Authors: Vardges Hovhannisyan, Marin BozicAbstract:Price Endogeneity has been ignored in previous analyses of food demand in China. We examine agricultural input price data from the China National Bureau of Statistics and use reduced-form price equations to account for price Endogeneity in this setting. Applying our unique econometric approach to the analysis of provincial-level food demand in China, we find strong statistical evidence of price Endogeneity. Models that ignore price Endogeneity result in substantially biased elasticities and misleading estimates of future food demand in China.
Christophe Muller - One of the best experts on this subject based on the ideXlab platform.
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A test of Endogeneity in quantiles
2020Co-Authors: Christophe MullerAbstract:In this paper we develop a test to detect the presence of Endogeneity in different quantiles in the conditional distribution of a variable of interest. This Hausman test type is based on one estimator consistent only under no Endogeneity at the examined quantile and another estimator consistent in both the null and the alternative hypotheses. We derive the asymptotic distribution of the test statistic. Moreover, we study the finite sample properties of this test with Monte Carlo simulations of which results exhibit substantial power in the studied cases. Finally, we apply our test to Engel curve estimation with UK data. We find that the pattern of the endogenenity of the total expenditure for various commodities (food, alcohol, fuel, transport, services) is complex when examining it across quantiles.
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A Test for Endogeneity in Conditional Quantiles
2013Co-Authors: Christophe MullerAbstract:In this paper, we develop a test to detect the presence of Endogeneity in conditional quantiles. Our test is a Hausman-type test based on the distance between two estimators, of which one is consistent only under no Endogeneity while the other is consistent regardless of the presence of Endogeneity in conditional quantile models. We derive the asymptotic distribution of the test statistic under the null hypothesis of no Endogeneity. The finite sample properties of the test are investigated through Monte Carlo simulations, and it is found that the test shows good size and power properties in finite samples. As opposed to the test based on the IVQR estimator of Chernozhukov and Hansen (2006) in the case of more than a couple of variables, our approach does not imply an infeasible computation time. Finally, we apply our approach to test for Endogeneity in conditional quantile models for estimating Engel curves using UK consumption and expenditure data. The pattern of Endogeneity in the Engel curve is found to vary substantially across quantiles
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A test for Endogeneity in conditional quantile models
2012Co-Authors: Christophe MullerAbstract:In this paper we develop a test to detect the presence of Endogeneity in conditional quantile models. The proposed test is a Hausman-type test in that it is based on the distance between two estimators in which one is consistent only under no Endogeneity while the other estimator is consistent regardless of the presence of Endogeneity in conditional quantile models. We derive the asymptotic distribution of the test statistic under the null hypothesis of no Endogeneity. The finite sample properties of the test is investigated by Monte Carlo simulations and it is found that the test shows reasonably good size and power properties in finite samples. Finally, we apply our approach to test for Endogeneity in a conditional quantile model for estimating Engel curves using the UK consumption and expenditure data. It is revealed that the pattern of Endogeneity found in the Engel curve varies across different quantiles.
Victor Chernozhukov - One of the best experts on this subject based on the ideXlab platform.
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quantile models with Endogeneity
Annual Review of Economics, 2013Co-Authors: Victor Chernozhukov, Christian HansenAbstract:In this article, we review quantile models with Endogeneity. We focus on models that achieve identification through the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss key conditions, which include monotonicity and full-rank-type conditions, in detail. In providing this review, we update the identification results of Chernozhukov & Hansen (2005). We illustrate the modeling assumptions through economically motivated examples. We also briefly review the literature on estimation and inference.
Pushan Dutt - One of the best experts on this subject based on the ideXlab platform.
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trade protection and bureaucratic corruption an empirical investigation
Canadian Journal of Economics, 2009Co-Authors: Pushan DuttAbstract:We examine whether protectionist trade policies lead to increased bureaucratic corruption. Using multiple measures of corruption and trade policies, we find strong evidence that corruption is significantly higher in countries with protectionist trade policies. These results are robust to Endogeneity concerns. Next, a panel-data-based GMM methodology is used to estimate a dynamic model of corruption. This estimator controls for country-specific effects, potential Endogeneity of trade policy, and existence of measurement errors afflicting the corruption data. The paper strengthens the case for trade liberalization and argues that trade reforms may lead to improvements in governance.
