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Fiscal packages usually capitalise into house prices. Yet if enough land for construction is available, housing developers could supply new houses and capitalisation may disappear. This paper provides a theoretical model in which income taxes and public services capitalise at lower rates when housing supply elasticity increases. Using an empirical linear interaction model, we estimate the impact of available land for construction on capitalisation rates with a panel of Swiss communities. Results indicate that fiscal variables do not capitalise differently in communities where housing supply is constrained by land availability. Thus, land availability is a necessary but not sufficient condition for capitalisation to disappear.

Although the monetary policy impact on inflation is deliberated intensively in economic literature, the fiscal policy impact has not gained much interest, particularly in the developing countries. The later issue is theorised as the fiscal theory of price level. This article examines the potency of fiscal factors relative to the money growth in inflation in Sri Lanka for an extended period 1965–2018, and also for the post-reform period 1977–2018. The inflationary impacts of public debt, budget deficit and public expenditure, in association with money growth and a few control variables are assessed rigorously. The results of the vector autoregression model estimations involving different combinations of these variables reveal that fiscal policy instruments are, in general, inflationary while no significant impact of money growth on inflation is found. Besides, the analyses of impulse response functions and variance decomposition of inflation corroborate that the external debt, budget deficit and public expenditure are potent factors amplifying inflation. The impacts of money and control variables are trivial. These findings are invariant over the samples and justify that an active fiscal and a passive monetary policy are operative. Managing the budget deficit and growing dependence on public debt is a critical policy issue in Sri Lanka. JEL Codes: E31, H63, C32

We generate observable expectations about fiscal variables through laboratory experiments using real world data from several European countries as stimuli. We compare a VAR model of expectations for data that is presented in a fiscal frame with one for neutrally presented data. We test the validity of the setup and find that participants understand the meaning of the fiscal variables, but also that their ability to perceive the correct characteristics of fiscal policy is limited. Expectations are consistent neither with rational nor with purely adaptive expectations, but instead follow an augmented-adaptive scheme.

We investigate the impact of fiscal variables on bond yield spreads relative to US Treasury bonds in the Czech Republic, Hungary, Poland, Russia and Turkey from May 1998 to December 2007. To account for the importance of market expectations we use projected values for fiscal and macroeconomic variables generated from Consensus Economics Forecasts. Moreover, we compare results from panel regressions with those from country (seemingly unrelated regression) estimates, and conduct analogous regressions for a control group of Latin American countries. We find that the role of the individual explanatory variables, including the importance of fiscal variables, varies across countries.

The objective of this study is to investigate determinant factors the forecast errors of market analysts for Brazilian fiscal variables. The data for conducting the research was obtained in the Prisma Fiscal, the Ministry of Economy's system of collecting and disclosure of market expectations for fiscal variables. The data collected refer to collection, net revenue and total expenditure, in the period from November 2015 to December 2018. The Mean Absolute Percentage Error (MAPE) and z were used to measure the quality of the market analysts' forecast. The use of the z value as a measure of the forecast error is one of the contributions of this research. Among the results obtained, the hypothesis that the temporal horizon interferes in the quality of the forecast was not rejected for horizons of one and two years; the dispersion of forecasts did not show a substantial change; and the optimistic bias hypothesis was not confirmed. It can be concluded that for this sample the temporality is a determinant factor of the forecast error of the market analysts for fiscal variables. The research contributes to the discussion about forecasting error in the areas of Public Financial Management and Public Accounting.