Philip Vermeulen

Price setting in the euro area : some stylised facts from individual producer price data

This paper documents producer price setting in 6 countries of the euro area: Germany, France, Italy, Spain, Belgium and Portugal. It collects evidence from available studies on each of those countries and also provides new evidence. These studies use monthly producer price data. The following five stylised facts emerge consistently across countries. First, producer prices change infrequently: each month around 21% of prices change. Second, there is substantial cross-sector heterogeneity in the frequency of price changes: prices change very often in the energy sector, less often in food and intermediate goods and least often in non-durable non- food and durable goods. Third, countries have a similar ranking of industries in terms of frequency of price changes. Fourth, there is no evidence of downward nominal rigidity: price changes are for about 45% decreases and 55% increases. Fifth, price changes are sizeable compared to the inflation rate. The paper also examines the factors driving producer price changes. It finds that costs structure, competition, seasonality, inflation and attractive pricing all play a role in driving producer price changes. In addition producer prices tend to be more flexible than consumer prices.

The Impact of Uncertainty on Investment Plans

In this paper we investigate how demand and output price uncertainty affect investment plans of Belgian manufacturing firms. We obtain time-varying uncertainty measures at the firm and industry level from the Belgian monthly business cycle survey and investment plans from the half-yearly investment survey. Using investment plans instead of realised investment data, e.g. annual accounts data, is, from an informative point of view, superior since it is more likely to reveal the features of the decision formation process and, therefore, it is most closely related to economic theory. Business investment is normally planned well in advance, because it involves time and costs to implement, and theory describes the behaviour of firms at the moment of their decision, which can be assumed to be fully captured in survey data. In order to find robust predictions we estimate three different specifications, each of which can be considered as a benchmark in the literature: two reduced form equations and a structural Euler equation. Our results show that uncertainty depresses investment. These results hold for industry- as well as for firmspecific demand uncertainty. Moreover, referring to Euler equation, uncertainty postpones investment today in favour of investment tomorrow. This effect is stronger for firms with more irreversible investment. Hence, our results seem to confirm to predictions of the real option theory.

Firms' Investment Decisions in Response to Demand and Price Uncertainty

We investigate the effect of demand and price uncertainty on firms’ planned and realized investment from a panel of manufacturing firms. Uncertainty measures are derived from firms’ own expectations about demand and prices and firms sales. We find that demand uncertainty at the time of planning depresses planned and subsequent realized investment. Firms do not revise their plans due to demand uncertainty at the time of spending, suggesting that reducing demand uncertainty will only have lagged effects on investment. We do not find any effect of price uncertainty. Our results are consistent with the behaviour of monopolistic firms with irreversible capital.

The Response of Firms' Investment and Financing to Adverse Cash Flow Shocks: The Role of Bank Relationships

We test whether firms with a single bank are better shielded from loss of credit and investment cuts in periods of adverse cash flow shocks than firms with multiple bank relationships. Our estimates of the cash flow sensitivity of investment show that both types of firms are equally subject to financing constraints that bind only in the event of adverse cash flow shocks. In these periods, firms incur lower cuts in investment expenditures when they can obtain extra credit. In periods of adverse cash flow shocks, the probability of obtaining extra bank debt becomes more sensitive to the size and leverage of the firm.

Monetary Policy Transmission in the Euro Area: New Evidence From Micro Data on Firms and Banks

This paper presents an overview of the results of a research project on monetary transmission pursued by the Eurosystem, which has analysed micro data on firms and banks in several countries of the euro area in great detail. There is strong empirical support for an interest rate channel working through firm investment. Furthermore, a credit channel can be identified with firm micro data. On the bank side, there is evidence that lending reacts differently to monetary policy according to bank balance sheet characteristics. In particular, banks that have a less liquid asset composition show a stronger loan supply response. This finding may be due to banks drawing on their liquid assets to cushion the effects of monetary policy on their loan portfolio, which is in line with the existence of close relationships between banks and their loan customers.

Price Setting in the Euro Area: Some Stylized Facts from Individual Producer Price Data

This paper documents producer price setting in 6 countries of the euro area: Germany, France, Italy, Spain, Belgium and Portugal. It collects evidence from available studies on each of those countries and also provides new evidence. These studies use monthly producer price data. The following five stylised facts emerge consistently across countries. First, producer prices change infrequently: each month around 21% of prices change. Second, there is substantial cross-sector heterogeneity in the frequency of price changes: prices change very often in the energy sector, less often in food and intermediate goods and least often in non-durable non- food and durable goods. Third, countries have a similar ranking of industries in terms of frequency of price changes. Fourth, there is no evidence of downward nominal rigidity: price changes are for about 45% decreases and 55% increases. Fifth, price changes are sizeable compared to the inflation rate. The paper also examines the factors driving producer price changes. It finds that costs structure, competition, seasonality, inflation and attractive pricing all play a role in driving producer price changes. In addition producer prices tend to be more flexible than consumer prices.

How Fat is the Top Tail of the Wealth Distribution

The US Survey of Consumer Finances (SCF) and the Eurosystem’s Household Finance and Consumption Survey (HFCS) provide evidence that wealth is heavily concentrated at the upper tail of the wealth distribution. A commonly cited number for the US is that 1 percent of the households hold 30 percent of total household wealth. I investigate the reliability of upper tail wealth estimates from household wealth surveys in the presence of survey differential non-response, i.e. the fact that richer households have lower response rates than poorer households. Differential non-response can often not be remedied by adjustment of survey weights, as wealth of the non-responding households remains unobserved. Differential non-response biases tail wealth estimates downwards. Monte Carlo evidence shows that such a bias can be quite substantial. I provide a method that greatly reduces the bias. The method combines survey data with data from rich lists and uses them jointly to estimate a Pareto (power-law) distribution for tail wealth. Using this method, the paper combines the SCF and HFCS data with Forbes World’s billionaires data to provide new estimates of tail wealth. For surveys with low or no oversampling of the wealthy, these estimates tend to indicate a higher concentration of wealth at the top than those calculated from the wealth surveys alone.

Corporate investment and bank-dependent borrowers during the recent financial crisis

We use the recent financial crisis period to analyse the effect of bank credit tightening on firm investment. We derive a new set of credit tightening indexes from the ECB Bank Lending Survey. Combining these with annual balance sheet data from Germany, France, Italy, Spain, Belgium and Portugal, we exploit the heterogeneity in the dependence on bank finance of different industries to identify real effects of credit tightening. We show that in response to tightening, investment falls substantially more in bank-dependent industries.

Monetary Policy Transmission in the Euro Area: Firm investment and monetary policy transmission in the euro area

We present a comparable set of results on the monetary transmission channels on firm investment for the four largest euro-area countries (Germany, France, Italy and Spain). With particularly rich micro datasets for each country containing over 215,000 observations from 1985 to 1999, we explore what can be learned about the interest channel and the broad credit channel. For each of those countries, we estimate neo-classical investment relationships, explaining investment by its user cost, sales and cash flow. We find investment to be sensitive to user cost changes in all those four countries. This implies an operative interest channel in these euro-area countries. We also find investment in all countries to be quite sensitive to cash flow movements. However, only in Italy do smaller firms react more to cash flow movements than large firms, implying that a broad credit channel might not be equally pervasive in all countries.