Publications

This paper tests the opportunity-cost theory using a panel of Spanish firms during the period 1991-2010. Under this theory, productivity-enhancing activities, such as R&D investment, should increase during downturns because of the fall in their relative cost - in terms of forgone output -. This would imply that business cycles may have a (positive) long-term impact on productivity growth. In the spirit of Aghion et al. (2007) we allow the impact of the cycle on R&D to vary between firms with different access to credit, finding that credit constraints may reverse the countercyclicality of R&D, even if it is optimal for them. We go one step further and explore whether other productivity-enhancing activities, like on-the-job training and the purchase of patents, follow a similar pattern. We find that on-the-job training expenditures are countercyclical and, unlike R&D investment, credit constraints seem not to affect their cyclical behaviour. Investments in other intangibles, such as patent purchases, are found to be acyclical, also irrespective of financial constraints, which could suggest some kind of substitution between R&D and patent purchases over the cycle. Finally, complementarities between the different intangible investments and the traditional productive factors (labour and capital) are also investigated via production function estimates, in order to assess potential indirect effects of the cycle on long-run growth.

We examine the consequences of imposing higher capital requirements on banks (as under Basel III or, recently, in the case of large banks in the European context) for bank dynamics in complying with the new standards and for the long-term effects on bank lending rates and the demand for bank credit. The analysis combines econometric estimations of the determinants of equity capital ratios and lending rates with simulations of market equilibrium results for loan interest rates and the demand for bank credit, based on a parameterised model of the Spanish banking industry. We find that the gap between the target and the actual capital ratio is reduced by around 40% every year, mainly with retained earnings. We also find that raising the equity capital ratio by one percentage point increases bank lending rates by 4.2 basis points. Finally, the simulation exercise shows that the estimated increase in the cost of funds for banks associated with a one percentage point increase in the equity capital ratio leads to a fall of 0.8% in the total demand for bank credit. These results suggest that the social costs of higher equity capital requirements for banks are expected to be greater in the transition period, when banks are adjusting to the new standards, than in the steady state of the new industry equilibrium, when all banks comply with the new ratio.

This article presents a dynamic growth model with energy as an input in the production function. The available stock of energy resources is ordered by a quality parameter based on energy accounting: the "Energy Return on Energy Invested" (EROI). To our knowledge this is the first paper where EROI fits in a neoclassical growth model (with individual utility maximization and market equilibrium), setting the economic use of "net energy analysis" on firmer theoretical ground. All necessary concepts to link neoclassical economics and EROI are discussed before their use in the model, and a comparative static analysis of the steady states of a simplified version of the model is presented.

We study the size of fiscal multipliers in response to a government spending shock under different household leverage conditions in a general equilibrium setting with search and matching frictions. We allow for different levels of household indebtedness by changing the intensive margin of borrowing (loan-to-value ratio), as well as the extensive margin, defined as the number of borrowers over total population. The interaction between the consumption decisions of agents with limited access to credit and the process of wage bargaining and vacancy posting delivers two main results: (a) higher initial leverage makes it more likely to find output multipliers higher than one; and (b) a positive government expenditure shock always produces a positive multiplier for vacancies and employment. The latter result is in sharp contrast to models in which some households do not have access to the financial market (RoT consumers), in which the implied labor market responses to fiscal shocks are inconsistent with the empirical evidence. We also fi nd that the impact on GDP of consolidations is lower when consumers have a more limited capacity to borrow, and that increasing government spending in an episode of intense private deleveraging can still generate positive and signifi cant effects on consumption and output, although the fiscal output (employment) multiplier decreases (increases) with the intensity of the credit crunch. In the model with indebted impatient households we also observe that output (employment) multipliers decrease (increase) markedly with the degree of shock persistence and increase with the degree of price stickiness.

This paper measures how households smooth changes in consumption when incomes are shifted by permanent or transitory shocks at country and regional level. I compute insurance capacity using the Spanish Continuous Family Expenditure Survey skipping the imputation methods used by the previous literature to mitigate the significant lack of income and consumption panel data information. I find some partial insurance for permanent shocks and a downward bias when imputed data are used. There is significant sensitivity for the youngest and primary educated cohorts that becomes more relevant in some regions. I obtain that durable purchases are a source of insurance with respect to transitory shocks and the effect of family income transfers is almost negligible.

We estimate the importance of preference interdependence from consumption choices. Our
strategy follows the literature that tests the constraints imposed by optimality in the evolution
of individual consumption. We derive a Euler equation from a preference specification that
allows for non-separabilities across households and across time. The introduction of habits
and envy places additional restrictions on the evolution of the optimal consumption path.
We use a unique data set that follows a sample of 3,200 households for up to eight
consecutive quarters to test these restrictions. Our estimates suggest that, if one defines
utility over consumption services, a large fraction of these services is relative, with one-quarter
of the weight placed in the consumption of the reference group and more than one-third of
the weight placed in the agent’s past consumption.

We decompose the correlation between relative consumption and the real exchange rate into its dynamic components at different frequencies. Using multivariate spectral analysis techniques we show that, at odds with a high degree of risk-sharing, in most OECD countries the dynamic correlation tends to be quite negative, and significantly so, at frequencies lower than two years -the appropriate frequencies for assessing the performance of international business cycle models. Theoretically, we show that the dynamic correlation over different frequencies predicted by standard open-economy models is the sum of two terms: a term constant across frequencies, which can be negative when uninsurable risk is large; and a term variable across frequencies, which in bond economies is necessarily positive, reflecting the insurance that intertemporal trade provides against forecastable contingencies. Numerical analysis suggests that leading mechanisms proposed by the literature to account for the puzzle are consistent with the evidence across the spectrum.

This paper explores the role of international reserves as a stabilizer of international capital flows during periods of global financial stress. In contrast with previous contributions, aimed at explaining net capital flows, we focus on the behavior of gross capital flows. We analyze an extensive cross-country quarterly database using event analyses and standard panel regressions. We document significant heterogeneity in the response of resident investors to financial stress and relate it to a previously undocumented channel through which reserves are useful during financial stress. International reserves facilitate financial disinvestment overseas by residents, offsetting the simultaneous drop in foreign financing.

In this paper we present the estimation results of a dynamic panel data model that explains the dynamic behaviour of default ratios in Spain for loans extended to the household sector. We estimate the models for two alternative definitions of default and for two different loan categories. The dataset consists of a panel of 50 provinces and covers the period 1984-2009. The results of the models show that the dynamic behaviour of the default ratios of loans extended to Spanish households can be reasonably well characterised with the lagged LHS variable, and the contemporaneous and the lagged values of credit growth, the unemployment rate and the interest debt burden. We find that the increase in the unemployment rate was the main driver of the sharp rise in default ratios between 2007 and 2009 in Spain and that the fall in interest rates since the end of 2008 contributed to moderating the upward path of default ratios in 2009. We also find that there is strong evidence of asymmetrical effects of unemployment ratios on default ratios, and differences between banks and savings banks in their sensitivity to the cycle.

There is an ongoing debate in the literature about the quality content of Chinese exports and to what extent China poses a threat to the market positions of advanced economies. While China’s export structure is very similar to that of the advanced world, its export unit values are well below the level of developed economies. Building on the assumption that unit values reflect quality, the prevailing view of the literature is that China exports low quality varieties of the same products as its advanced competitors. This paper challenges this view by relaxing the assumption that unit values reflect quality. We derive the quality of Chinese exports to the European Union by estimating disaggregated demand functions from a discrete choice model. The paper has three major findings. First, China’s share of the European Union market is larger than would be justified only by its low average prices, implying that the quality of Chinese exports is high compared to many competitors. Second, China has gained quality relative to other competitors since 1995, indicating that China is climbing up the quality ladder. Finally, our analysis of the supply side determinants reveals that the relatively high quality of Chinese exports is related to processing trade and the increasing role of global production networks in China.

The response of human capital accumulation to changes in the anticipated returns to schooling determines the type of skills supplied to the labor market, the productivity of future cohorts, and the evolution of inequality. Unlike the US, the UK or Germany, Spain has experienced since 1995 a drop in the returns to medium and tertiary education and, with a lag, a drop in schooling attainment of recent cohorts, providing the opportunity to estimate the response of different forms of human capital acquisition to relative increases in low-skill wages. We measure the expected returns to schooling using skill-specific wages bargained in collective agreements at the province-industry level. We argue that those wages are easily observable by youths and relatively insensitive to shifts in the supply of workers. Our preferred estimates suggest that a 10% increase in the ratio of wages of unskilled workers to the wages of mid-skill workers increases the fraction of males completing at most compulsory schooling by between 2 and 5 percentage points. The response is driven by males from less educated parents and comes at the expense of students from the academic high school track rather than the vocational training track.

We study simple fiscal rules for stabilizing the government debt level in response to asymmetric demand shocks in a country that belongs to a currency union. We compare debt stabilization through tax rate adjustments with debt stabilization through expenditure changes. While rapid and flexible adjustment of public expenditure might seem institutionally or informationally infeasible, we discuss one concrete way in which this might be implemented: setting salaries of public employees, and social transfers, in an alternative unit of account, and delegating the valuation of this numeraire to an independent fiscal authority.
Using a sticky-price DSGE matching model of a small open economy in a currency union, we compare the business cycle implications of several different fiscal rules that all achieve the same reduction in the standard deviation of the public debt. In our simulations, compared with rules that adjust tax rates, a rule that stabilizes the budget by adjusting public salaries and transfers reduces fluctuations in consumption, employment, and private and public after-tax real wages, thus bringing the market economy closer to the social planner’s solution.

Using information of the balance sheets of Spanish banks between 1995 and 2009, we estimate the average impact of current and anticipated changes in banks’ capital on firm lending. We isolate the role of credit supply factors using the variation in capital growth associated to the bank-specific historical exposure to real estate development -measured 10 years before the outburst of the financial crisis- and its interaction with the change in housing prices in the provinces where they operate. We further control for the quality of borrowers by using industry fixed effects. Our main results suggest firstly that lagged exposure to real estate development and its interaction with prices explain banks’ capital growth and the overall doubtful loans ratio after 2008 - in turn, a determinant of anticipated changes in capital. And, secondly, that the deterioration of banks’ capital position has had a negative, although of a limited magnitude, effect on the supply of loans to non-construction firms. Our interpretation is that banks that have experienced capital shortfalls or banks that have increased their capital but without reaching the level that is demanded by financial markets might have had no option but to reduce their lending. The relatively small magnitude of credit supply factors may be explained by the weakness of loan demand in a context of a deep recession.

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as ragged edges and mixed frequencies. We examine the theoretical benefits of this extension and corroborate the results through several Monte Carlo simulations. Finally, we assess its empirical reliability to compute real-time inferences of the US business cycle.

We examine the finite-sample performance of small versus large scale dynamic factor models. Our Monte Carlo analysis reveals that small scale factor models out-perform large scale models in factor estimation and forecasting for high levels of cross-correlation across the idiosyncratic errors of series belonging to the same category, for oversampled categories and, especially, for high persistence in either the common factor series or the idiosyncratic errors. Using a panel of 147 US economic indicators, which are classified into 13 economic categories, we show that a small scale dynamic factor model that uses one representative indicator of each category yields satisfactory or even better forecasting results than a large scale dynamic factor model that uses all the economic indicators.

We propose a fundamentals-based econometric model for the weekly changes in the euro-dollar rate with the distinctive feature of mixing economic variables quoted at different frequencies. The model obtains good in-sample fit and, more importantly, encouraging out-of-sample forecasting results at horizons ranging from one week to one month. Specifi cally, we obtain statistically significant improvements upon the hard-to-beat random walk model using traditional statistical measures of forecasting error at all horizons. Moreover, our model improves greatly when we use the direction-of-change metric, which has more economic relevance than other loss measures. With this measure, our model performs much better at all forecasting horizons than a naive model that predicts the exchange rate has an equal chance to go up or down, with statistically signifi cant improvements.

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov-switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully non-linear multivariate specification (one-step approach) with the "shortcut" of using a linear factor model to obtain a coincident indicator which is then used to compute the Markov-switching probabilities (two-step approach). Second, we examine the role of increasing the number of indicators. Our results suggest that one step is generally preferred to two steps, although its marginal gains diminish as the quality of the indicators increases and as more indicators are used to identify the non-linear signal. Using the four constituent series of the Stock-Watson coincident index, we illustrate these results for US data.

This article combines a discrete choice model of demand for residential local telephone access and an optimal price regulation model to estimate the welfare weights that state regulators place on consumers with different incomes and locations. I find no evidence of a bias towards rural consumers on average, but the relative weight on low income consumers in a geographic area can vary as a function of the proportions of rural and poor population and the political characteristics of the regulator. I also measure the welfare consequences of deviating from total consumer surplus maximization and disconnecting prices from costs.