The Valuation of Agricultural Land and the Influence of Government Payments. Factor Markets Working Paper No. 10, December 2011

This study gives an overview of the theoretical foundations, empirical procedures and derived results of the literature identifying determinants of land prices. Special attention is given to the effects of different government support policies on land prices. Since almost all empirical studies on the determination of land prices refer either to the net present value method or the hedonic pricing approach as a theoretical basis, a short review of these models is provided. While the two approaches have different theoretical bases, their empirical implementation converges. Empirical studies use a broad range of variables to explain land values and we systematise those into six categories. In order to investigate the influence of different measures of government support on land prices, a meta-regression analysis is carried out. Our results reveal a significantly higher rate of capitalisation for decoupled direct payments and a significantly lower rate of capitalisation for agri-environmental payments, as compared to the rest of government support. Furthermore, the results show that taking theoretically consistent land rents (returns to land) and including non-agricultural variables like urban pressure in the regression implies lower elasticities of capitalisation. In addition, we find a significant influence of the land type, the data type and estimation techniques on the capitalisation rate.

Life Is Getting Worse in ESS Data: Is This Due to Micro or Macro Factors? Bruges European Economic Research (BEER) Papers 28/November 2013

In order to evaluate the success of a society, measuring well-being might be a fruitful avenue. For a long time, governments have trusted economic measures, Gross Domestic Product (GDP) in particular, to assess their success. However GDP is only a limited measure of economic success, which is not enough to show whether policies implemented by governments have a positive perceived impact on the people they represent. This paper belongs to the studies of the relationship between measures of well-being and economic factors. More precisely, it tries to evaluate the decrease in happiness and life satisfaction that can be observed in European countries in the 2000-2010 decade. It asks whether this deterioration is mainly due to microeconomic factors, such as income and individual characteristics, or rather to environmental (macroeconomics) factors such as unemployment, inflation or income inequality. Such aggregate factors could impact individual happiness per se because they are related to the perception of an aggregate risk of unemployment or income fall. In order to strengthen this interpretation, this paper checks whether the type of social protection regime existing in different countries mediates the impact of macroeconomic volatility on individual well-being. To go further, adopting the classification of welfare regimes proposed by Esping-Andersen (1990), it verifies whether the decreasing pattern of subjective well-being varies across these regimes. This is partly due to the aggregate social protection expenditure. Hence, this paper brings some additional evidence to the idea that macroeconomic uncertainty has a cost in terms of well-being. More protective social regimes are able to reduce this cost. It also proposes an evaluation of the welfare cost of unemployment and inflation (in terms of happiness and life satisfaction), in each of the different social protection regimes. Finally different measures of well-being, i.e. cognitive, hedonic and eudaimonic, are used to confirm the above mentioned result.