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| Registros recuperados: 29 | |
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| Fisher, Monica G.. |
| Research shows households are more likely to be poor in rural versus urban America. Does this phenomenon partly reflect that people who choose rural residence have unmeasured attributes related to human impoverishment? To address this, two models are estimated using Panel Study of Income Dynamics data. A single equation Probit model of household poverty replicates the well-documented finding of higher poverty risk in rural places. However, a two-stage instrumental variables approach accounting for residential choice finds no measured effect of rural location on poverty. Results suggest failure to correct for endogenous rural residence leads to over-estimation of the "rural effect". |
| Tipo: Working or Discussion Paper |
Palavras-chave: Endogeneity; Households; Instrumental variables; Poverty; Rural; Food Security and Poverty. |
| Ano: 2004 |
URL: http://purl.umn.edu/18917 |
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| Fisher, Monica G.. |
| Includes: On the Empirical Finding of a Higher Risk of Poverty in Rural Areas: Is Rural Residence Endogenous to Poverty?:COMMENT, by Thomas A. Hirschl; On the Empirical Finding of a Higher Risk of Poverty in Rural Areas: Is Rural Residence Endogenous to Poverty?: REPLY, by Monica Fisher. Research shows people are more likely to be poor in rural versus urban America. Does this phenomenon partly reflect that people who choose rural residence have unmeasured attributes related to human impoverishment? To address this question, two models are estimated using Panel Study of Income Dynamics data. A single equation Probit model of individual poverty replicates the well-documented finding of higher poverty risk in rural places. However, an instrumental variables... |
| Tipo: Journal Article |
Palavras-chave: Endogeneity; Instrumental variables; Omitted variable bias; Poverty; Rural; Food Security and Poverty. |
| Ano: 2005 |
URL: http://purl.umn.edu/31219 |
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| Voltaire, Louinord; Nassiri, Abdelhak; Bailly, Denis; Boncoeur, Jean. |
| In this paper, we develop an empirical test of consistency in contingent willingness to pay (WTP) responses, which is based on the following a priori expectation. In economics, when an individual considers paying for public goods, his decision to pay, and his WTP are based on utility-maximising behaviour. Accordingly, supposing other factors are identical, if individual A expresses greater interest in paying for public goods in general than individual B, that is because A receives more benefits from the use and/or the non-use of these goods than B. Continuing with this logic, if both individuals are asked about their WTP for a precise public good, A should logically be more likely to pay and should be willing to pay more than B. Thus, the test consists in... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Contingent valuation; Consistency; Endogeneity; Consumer/Household Economics; Resource /Energy Economics and Policy; C24; D12; Q26. |
| Ano: 2011 |
URL: http://purl.umn.edu/114378 |
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| Chen, Min; Lupi, Frank. |
| 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. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Random Utility Models; Facilities; Endogeneity; Monte Carlo simulations; Environmental Economics and Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/49449 |
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| Poi, Brian P.. |
| The two-stage least-squares (2SLS) instrumental variables estimator is commonly used to address endogeneity. However, the estimator suffers from bias that is exacerbated when the instruments are only weakly correlated with the endogenous variables and when many instruments are used. In this article, I discuss jackknife instrumental variables estimation as an alternative to 2SLS. Monte Carlo simulations comparing the jackknife instrument variables estimators to 2SLS and limited information maximum likelihood (LIML) show that two of the four variants perform remarkably well even when 2SLS does not. In a weak-instrument experiment, the two best performing jackknife estimators also outperform LIML. |
| Tipo: Journal Article |
Palavras-chave: Jive; 2SLS; LIML; JIVE; Instrumental variables; Endogeneity; Weak instruments; Research Methods/ Statistical Methods. |
| Ano: 2006 |
URL: http://purl.umn.edu/117586 |
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| Registros recuperados: 29 | |
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