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| Zarnekow, Nana; Henning, Christian H.C.A.. |
| This paper focuses on networks as determinants of rural migration and the importance of networks in a rural development perspective. Furthermore the impact of public goods and amenities on migration decisions in rural regions is investigated. Special attention is paid on heterogeneity in peoples migration-decisive components. Data base is a non-farm household-survey of four rural communities in Poland. The estimations show that migration decisions are influenceable in different ways: Social networks as well as socio-economic components and the regional public-good endowment are important drivers of migration, but the direction and amount of influence depends on individual-preferences and on individual network-structures - among other things especially on... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Migration; Rural development; Social networks; Latent class model; Community/Rural/Urban Development; R23; D83; H41. |
| Ano: 2010 |
URL: http://purl.umn.edu/94829 |
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| Eija, Pouta; Sami, Myyra; Kyosti, Pietola. |
| Land improvements with long pay-back periods are often delayed on leased agricultural land, resulting in social costs through land degradation, decreased land productivity and environmental problems. An important question is thus how landowners would respond to regulations and mandates concerning land improvements. Based on a landowner survey, we analyse landowner choices under certain land improvement regulations, using the currently dominant choice of leasing land for agricultural use as the benchmark. The results indicated that land leasing will continue to increase in the future, but if the landowner mandate to co-finance costly land improvements is increased, landowners are predicted to respond significantly to these mandates and search for other land... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Contingent behaviour; Latent class model; Landlord; Land use; Heterogeneity; Land Economics/Use; Q15; Q24; Q28. |
| Ano: 2011 |
URL: http://purl.umn.edu/114770 |
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| Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew. |
| Generalized linear models with covariate measurement error can be estimated by maximum likelihood using gllamm, a program that fits a large class of multilevel latent variable models (Rabe-Hesketh, Skrondal, and Pickles 2004). The program uses adaptive quadrature to evaluate the log likelihood, producing more reliable results than many other methods (Rabe-Hesketh, Skrondal, and Pickles 2002). For a single covariate measured with error (assuming a classical measurement model), we describe a “wrapper” command, cme, that calls gllamm to estimate the model. The wrapper makes life easy for the user by accepting a simple syntax and data structure and producing extended and easily interpretable output. The commands for preparing the data and running gllamm can... |
| Tipo: Journal Article |
Palavras-chave: Covariate measurement error; Measurement model; Congeneric measurement model; Factor model; Adaptive quadrature; Nonparametric maximum likelihood; NPMLE; Latent class model; Empirical Bayes; Simulation; Wrapper; Sensitivity analysis; Gllamm; Cme; Research Methods/ Statistical Methods. |
| Ano: 2003 |
URL: http://purl.umn.edu/116185 |
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