0000000000292063

AUTHOR

Fabio Parla

showing 4 related works from this author

Credit Demand and Supply Shocks in Italy During the Great Recession

2018

In this paper, we use Structural VAR analysis to disentangle credit demand and supply shocks and their eFFect on real economic activity in Italy during the 2008-2014 crisis period. The three endogenous variables considered are the loan interest rate, the loans growth rate and the employment to population ratio. The data are observed at annual frequency for each of 103 Italian provinces. The structural shocks are identified through heteroscedasticity, by letting the variance of the shocks to switch across four Italian macro-regions: North, Centre, South and Islands. Sign restrictions are used to interpret ex post the structural shocks. The empirical findings suggest a more important role of …

Employment-to-population ratioHeteroscedasticitySupply shockLoanmedia_common.quotation_subjectEconomicsVariance (land use)Credit crunchMonetary economicsSupply and demandInterest ratemedia_commonSSRN Electronic Journal
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Credit demand and supply shocks in Italy during the Great Recession

2018

In this article, we use Structural VAR analysis to disentangle credit demand and supply shocks and their effect on real economic activity in Italy during the 2008 to 2014 crisis period. The three endogenous variables considered are the loan interest rate, the loans growth rate and the employment to population ratio. The data are observed at annual frequency for each of 103 Italian provinces. The empirical evidence suggests that the variance of the shocks varies across four Italian macro-regions: North, Centre, South and Islands, and hece heteroscedasticity is used to identify (ex ante) the structural shocks. Sign restrictions are used to interpret shocks ex post. The empirical findings sugg…

Economics and Econometrics050208 financecredit shock05 social sciencesMonetary economicsR11Great recessionSupply and demandStructural VARregional economic activity0502 economics and businessEconomicsidentification through heteroscedasticity050207 economicsE51C32Applied Economics
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Housing market shocks in italy: A GVAR approach

2020

Abstract In this paper, we use a Global Vector Autoregression (GVAR) model to assess the spatio-temporal mechanism of house price spillovers, also known as “ripple effect”, among 93 Italian provincial housing markets, over the period 2004 − 2016 . In order to better capture the local housing market dynamics, we use data not only on house prices but also on transaction volumes. In particular, we focus on estimating, to what extent, exogenous shocks, interpreted as negative housing demand shocks, arising from 10 Italian regional capitals, impact on their house prices and sales and how these shocks spill over to neighbours housing markets. The negative housing market demand shock hitting the G…

040101 forestryEconomics and Econometrics05 social sciencesHousing market prices and volumes04 agricultural and veterinary sciencesMonetary economicsVector autoregressionSupply and demandShock (economics)House priceDemand shockOrder (exchange)0502 economics and businessGlobal VAREconomics0401 agriculture forestry and fisheriesSign restrictions050207 economicsDatabase transactionImpulse responseRipple effect
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Essays on financial stability: an analysis based on NUTS2 and NUTS3 data for Italy

Credit market shocks; regional default rates spillovers; housing market prices and volumes; VARSettore SECS-P/05 - EconometriaVARhousing market prices and volumeCredit market shockregional default rates spillover
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